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University of Manchester
1.
Brown, Liam John.
General Blending Models for Mixture Experiments: Design
and Analysis.
Degree: 2014, University of Manchester
URL: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:222351 
► It is felt the position of the Scheffé polynomials as the primary, or sometimes sole recourse for practitioners of mixture experiments leads to a lack…
(more)
▼ It is felt the position of the Scheffé polynomials
as the primary, or sometimes sole recourse for practitioners of
mixture experiments leads to a lack of enquiry regarding the type
of blending behaviour that is used to describe the response and
that this could be detrimental to achieving experimental
objectives. Consequently, a new class of models and new
experimental designs are proposed allowing a more thorough
exploration of the experimental region with respect to different
blending behaviours, especially those not associated with
established models for mixtures, in particular the Scheffé
polynomials. The proposed General Blending Models for Mixtures
(GBMM) are a powerful tool allowing a broad range of blending
behaviour to be described. These include those of the Scheffé
polynomials (and its reparameterisations) and Becker's models. The
potential benefits to be gained from their application include
greater model parsimony and increased interpretability. Through
this class of models it is possible for a practitioner to reject
the assumptions inherent in choosing to model with the Scheffé
polynomials and instead adopt a more open approach, flexible to
many different types of behaviour. These models are presented
alongside a fitting procedure, implementing a stepwise regression
approach to the estimation of partially linear models with multiple
nonlinear terms. The new class of models has been used to develop
designs which allow the response surface to be explored fully with
respect to the range of blending behaviours the GBMM may describe.
These designs may additionally be targeted at exploring deviation
from the behaviour described by the established models. As such,
these designs may be thought to possess an enhanced optimality with
respect to these models. They both possess good properties with
respect to optimality criterion, but are also designed to be robust
against model uncertainty.
It is felt the position of the Scheffé polynomials
as the primary, or sometimes sole recourse for practitioners of
mixture experiments leads to a lack of enquiry regarding the type
of blending behaviour that is used to describe the response and
that this could be detrimental to achieving experimental
objectives. Consequently, a new class of models and new
experimental designs are proposed allowing a more thorough
exploration of the experimental region with respect to different
blending behaviours, especially those not associated with
established models for mixtures, in particular the Scheffé
polynomials. The proposed General Blending Models for Mixtures
(GBMM) are a powerful tool allowing a broad range of blending
behaviour to be described. These include those of the Scheffé
polynomials (and its reparameterisations) and Becker's models. The
potential benefits to be gained from their application include
greater model parsimony and increased interpretability. Through
this class of models it is possible for a practitioner to reject
the assumptions inherent in choosing to model with the Scheffé
polynomials and instead adopt a…
Advisors/Committee Members: TSO, MICHAEL MK, Tso, Michael, Donev, Alexander.
Subjects/Keywords: Mixture Experiments; Design of Experiments; Nonlinear Models
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APA (6th Edition):
Brown, L. J. (2014). General Blending Models for Mixture Experiments: Design
and Analysis. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:222351
Chicago Manual of Style (16th Edition):
Brown, Liam John. “General Blending Models for Mixture Experiments: Design
and Analysis.” 2014. Doctoral Dissertation, University of Manchester. Accessed March 04, 2021.
http://www.manchester.ac.uk/escholar/uk-ac-man-scw:222351.
MLA Handbook (7th Edition):
Brown, Liam John. “General Blending Models for Mixture Experiments: Design
and Analysis.” 2014. Web. 04 Mar 2021.
Vancouver:
Brown LJ. General Blending Models for Mixture Experiments: Design
and Analysis. [Internet] [Doctoral dissertation]. University of Manchester; 2014. [cited 2021 Mar 04].
Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:222351.
Council of Science Editors:
Brown LJ. General Blending Models for Mixture Experiments: Design
and Analysis. [Doctoral Dissertation]. University of Manchester; 2014. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:222351
Rochester Institute of Technology
2.
Kumar, Pranay.
Experimental Design and Robust Regression.
Degree: MS, Industrial and Systems Engineering, 2017, Rochester Institute of Technology
URL: https://scholarworks.rit.edu/theses/9666
► Design of Experiments (DOE) is a very powerful statistical methodology, especially when used with linear regression analysis. The use of ordinary least squares (OLS)…
(more)
▼ Design of
Experiments (DOE) is a very powerful statistical methodology, especially when used with linear regression analysis. The use of ordinary least squares (OLS) estimation of linear regression parameters requires the errors to have a normal distribution. However, there are numerous situations when the error distribution is non-normal and using OLS can result in inaccurate parameter estimates. Robust regression is a useful and effective way to estimate the parameters of a regression model in the presence of non-normally distributed residuals. An extensive literature review suggests that there are limited studies comparing the performance of different robust estimators in conjunction with different experimental
design sizes, models, and error distributions. The research in this thesis is an attempt to bridge this gap. The performance of the popular robust estimators is compared over different experimental
design sizes, models, and error distributions and the results are presented and discussed. The results evaluating the performance of the robust estimator with OLS after performing Box-Cox transformation are also presented in this research.
Advisors/Committee Members: Rachel Silvestrini.
Subjects/Keywords: Design of experiments; Experimental design; Robust regression
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APA (6th Edition):
Kumar, P. (2017). Experimental Design and Robust Regression. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9666
Chicago Manual of Style (16th Edition):
Kumar, Pranay. “Experimental Design and Robust Regression.” 2017. Masters Thesis, Rochester Institute of Technology. Accessed March 04, 2021.
https://scholarworks.rit.edu/theses/9666.
MLA Handbook (7th Edition):
Kumar, Pranay. “Experimental Design and Robust Regression.” 2017. Web. 04 Mar 2021.
Vancouver:
Kumar P. Experimental Design and Robust Regression. [Internet] [Masters thesis]. Rochester Institute of Technology; 2017. [cited 2021 Mar 04].
Available from: https://scholarworks.rit.edu/theses/9666.
Council of Science Editors:
Kumar P. Experimental Design and Robust Regression. [Masters Thesis]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9666
Penn State University
3.
Kankam, Kwame Adu.
Robust Parameter Design: A Penalized Likelihood Approach.
Degree: 2014, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/23607
► Robust Parameter Design (RPD) is an engineering methodology aimed at designing quality into industrial products and processes by optimizing a quality characteristic with respect to…
(more)
▼ Robust Parameter
Design (RPD) is an engineering methodology aimed at designing quality into industrial products and processes by optimizing a quality characteristic with respect to the controllable input variables. It involves designing a system to withstand unavoidable variation while meeting its intended goal. Proposed and popularized by Japanese engineer and quality expert, Genichi Taguchi, it has entered the statistical mainstream and several approaches have been proposed. In the dual response RPD, response surfaces for the mean and the variance are obtained and depending on the goal of the experiment an objective function is determined. This is then optimized with respect to the control factors in order to find the best levels at which industrial processes should be carried out in order to obtain the best products.
In this dissertation, we propose a penalized likelihood approach to the dual response RPD which we call Adaptive Penalized Likelihood Effects Selection (APLES). We begin with a heteroscedastic linear model and specify a parametric variance function (specifically the log-linear variance function). We maximize the loglikelihood
subject to constraints on the L
1 norms of the mean and variance parameter vectors in order to obtain simultaneous variable selection and estimation of the mean and variance parameters. For fixed values of the variance parameters, the problem reduces to a weighted least squares regression with an adaptive Lasso penalty. For fixed values of the mean parameters, the problem is equivalent to a gamma-error generalized linear model (GLM) with log link and an adaptive Lasso penalty. By iterating between these two minimization problems, we obtain the final set of APLES estimates for the non-zero mean and variance parameters. We describe and utilize the cyclic coordinate descent (CCD) algorithm which is very fast and has good convergence properties for the data sets that typically arise in applications.
We apply APLES to RPD and show using simulations that it has good performance in a wide variety of settings for the mean parameters, variance parameters, noise variables, and different choices of `quality' objective functions. We also illustrate the use of APLES by analyzing some well-known data sets from the literature. Another advantage of our approach is that it can be used for identification of location and dispersion effects in screening
experiments. Screening
experiments are the initial
experiments carried out on a new process in which a potentially large number of factors are studied. Unlike RPD, the aim is not to optimize the subsequent response surfaces, but to select important variables for subsequent experimentation. We show that APLES performs equally well in these situations compared to other methods.
Advisors/Committee Members: James Landis Rosenberger, Dissertation Advisor/Co-Advisor, James Landis Rosenberger, Committee Chair/Co-Chair, Dennis Kon Jin Lin, Committee Member, Matthew Logan Reimherr, Committee Member, Lingzhou Xue, Committee Member, Enrique Del Castillo, Committee Member.
Subjects/Keywords: Penalized Likelihood; Design of Experiments; Coordinate Descent
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APA ·
Chicago ·
MLA ·
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APA (6th Edition):
Kankam, K. A. (2014). Robust Parameter Design: A Penalized Likelihood Approach. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/23607
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Kankam, Kwame Adu. “Robust Parameter Design: A Penalized Likelihood Approach.” 2014. Thesis, Penn State University. Accessed March 04, 2021.
https://submit-etda.libraries.psu.edu/catalog/23607.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Kankam, Kwame Adu. “Robust Parameter Design: A Penalized Likelihood Approach.” 2014. Web. 04 Mar 2021.
Vancouver:
Kankam KA. Robust Parameter Design: A Penalized Likelihood Approach. [Internet] [Thesis]. Penn State University; 2014. [cited 2021 Mar 04].
Available from: https://submit-etda.libraries.psu.edu/catalog/23607.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Kankam KA. Robust Parameter Design: A Penalized Likelihood Approach. [Thesis]. Penn State University; 2014. Available from: https://submit-etda.libraries.psu.edu/catalog/23607
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
KTH
4.
Seyedamin, Arvand.
FINDING IMPORTANT FACTORS IN AN EFFECTS-BASED PLAN USING SEQUENTIAL BIFURCATION.
Degree: Information and Communication Technology (ICT), 2012, KTH
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-101212
► After the pilot phase of a simulation study, if the model contains many factors, then direct experimentation may need too much computer processing time,…
(more)
▼ After the pilot phase of a simulation study, if the model contains many factors, then direct experimentation may need too much computer processing time, therefore the purpose of screening simulation experiments is to eliminate negligible or unimportant factors of a simulation model in order to concentrate the efforts upon a short list of important factors. For this matter the Sequential bifurcation procedure developed by Bettonvil and Kleijnen [3] is an efficient and effective screening method which can be used. In this study, the Sequential bifurcation screening method is used to determine the important factors of a simulation based decision support model designed by The Swedish Defense Research Agency (FOI) meant for testing operational plans. By using this simulation model, a decision maker is able to test a number of feasible plans against possible courses of events. The sequential bifurcation procedure was applied and sorted the most important factors involved in this simulation model based on their relative importance.
Subjects/Keywords: Simulation; Screening; Sequential Bifurcation; Design of experiments.
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APA ·
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APA (6th Edition):
Seyedamin, A. (2012). FINDING IMPORTANT FACTORS IN AN EFFECTS-BASED PLAN USING SEQUENTIAL BIFURCATION. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-101212
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Seyedamin, Arvand. “FINDING IMPORTANT FACTORS IN AN EFFECTS-BASED PLAN USING SEQUENTIAL BIFURCATION.” 2012. Thesis, KTH. Accessed March 04, 2021.
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-101212.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Seyedamin, Arvand. “FINDING IMPORTANT FACTORS IN AN EFFECTS-BASED PLAN USING SEQUENTIAL BIFURCATION.” 2012. Web. 04 Mar 2021.
Vancouver:
Seyedamin A. FINDING IMPORTANT FACTORS IN AN EFFECTS-BASED PLAN USING SEQUENTIAL BIFURCATION. [Internet] [Thesis]. KTH; 2012. [cited 2021 Mar 04].
Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-101212.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Seyedamin A. FINDING IMPORTANT FACTORS IN AN EFFECTS-BASED PLAN USING SEQUENTIAL BIFURCATION. [Thesis]. KTH; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-101212
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Cal Poly
5.
Lin, Yu-wei.
Benchmarked Hard Disk Drive Performance Characterization and Optimization Based on Design of Experiments Techniques.
Degree: MS, Electrical Engineering, 2010, Cal Poly
URL: https://digitalcommons.calpoly.edu/theses/350
;
10.15368/theses.2010.116
► This paper describes an experimental study offered by Designs of Experiments (DOE) within the defined factor domains to evaluate the factor effects of simultaneous characteristics…
(more)
▼ This paper describes an experimental study offered by Designs of
Experiments (DOE) within the defined factor domains to evaluate the factor effects of simultaneous characteristics on the benchmarked hard disk drive performance by proposing well-organized statistical models for optimizations. The numerical relations of the obtained models permit to predict the behaviors of benchmarked disk performances as functions of significant factors to optimize relevant criteria based on the needs.
The experimental data sets were validated to be in satisfying agreement with predicted values by analyzing the response surface plots, contour plots, model equations, and optimization plots. The adequacy of the model equations were verified effectively by a prior generation disk drive within the same model family. The retained solutions for potential industrializations were the concluded response surface models of benchmarked disk performance optimizations.
The comprehensive benchmarked performance modeling procedure for hard disk drives not only saves experimental costs on physical modeling but also leads to hard-to-find quality improvement solutions to manufacturing decisions.
Advisors/Committee Members: John Y. Oliver.
Subjects/Keywords: design of experiments
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APA ·
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APA (6th Edition):
Lin, Y. (2010). Benchmarked Hard Disk Drive Performance Characterization and Optimization Based on Design of Experiments Techniques. (Masters Thesis). Cal Poly. Retrieved from https://digitalcommons.calpoly.edu/theses/350 ; 10.15368/theses.2010.116
Chicago Manual of Style (16th Edition):
Lin, Yu-wei. “Benchmarked Hard Disk Drive Performance Characterization and Optimization Based on Design of Experiments Techniques.” 2010. Masters Thesis, Cal Poly. Accessed March 04, 2021.
https://digitalcommons.calpoly.edu/theses/350 ; 10.15368/theses.2010.116.
MLA Handbook (7th Edition):
Lin, Yu-wei. “Benchmarked Hard Disk Drive Performance Characterization and Optimization Based on Design of Experiments Techniques.” 2010. Web. 04 Mar 2021.
Vancouver:
Lin Y. Benchmarked Hard Disk Drive Performance Characterization and Optimization Based on Design of Experiments Techniques. [Internet] [Masters thesis]. Cal Poly; 2010. [cited 2021 Mar 04].
Available from: https://digitalcommons.calpoly.edu/theses/350 ; 10.15368/theses.2010.116.
Council of Science Editors:
Lin Y. Benchmarked Hard Disk Drive Performance Characterization and Optimization Based on Design of Experiments Techniques. [Masters Thesis]. Cal Poly; 2010. Available from: https://digitalcommons.calpoly.edu/theses/350 ; 10.15368/theses.2010.116
Virginia Tech
6.
Weise, Peter Carl.
Mission-Integrated Synthesis/Design Optimization of Aerospace Subsystems under Transient Conditions.
Degree: MS, Mechanical Engineering, 2012, Virginia Tech
URL: http://hdl.handle.net/10919/76855
► The equations governing the thermodynamic behavior of a military aircraft have been implemented by the Air Force Research Lab (AFRL) and other Integrated Vehicle Energy…
(more)
▼ The equations governing the thermodynamic behavior of a military aircraft have been implemented by the Air Force Research Lab (AFRL) and other Integrated Vehicle Energy Technology Demonstration (INVENT) contributors into a cohesive, adaptable, dynamic aircraft simulation program in Mathworks' Simulink®. The resulting model known as the "Tip-to-tail" model meets the
design specifications set forth by the INVENT program. The system consists of six intimately linked subsystems that include a propulsion subsystem (PS), air vehicle subsystem (AVS), robust electrical power subsystem (REPS), high power electric actuation subsystem (HPEAS), advanced power and thermal management subsystem (APTMS), and a fuel thermal management subsystem (FTMS). The model's governing equations are augmented with experimental data and supported by defined physical parameters.
In order to address the problems associated with the additional power and thermal loads for in more electric aircraft (MEA), this research utilizes exergy analysis and mission-integrated synthesis/
design optimization to investigate the potential for improvement in tip-to-tail
design/performance. Additionally, this thesis describes the development and integration of higher fidelity transient heat exchanger models for use in the tip-to-tail.
Finally, the change in performance due to the integration of new heat exchanger models developed here is presented. Additionally, this thesis discusses the results obtained by performing mission-integrated synthesis/
design optimization on the tip-to-tail using heat exchanger
design parameters as decision variables. These results show that the performance of the tip-to-thermal management subsystems improves significantly due to the integration of the heat exchanger models. These results also show improvements in vehicle performance due to the mission-integrated optimization.
Advisors/Committee Members: von Spakovsky, Michael R. (committeechair), Kornhauser, Alan A. (committee member), O'Brien, Walter F. Jr. (committee member).
Subjects/Keywords: optimization; design of experiments; surrogate modeling; aerospace
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APA ·
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Manager
APA (6th Edition):
Weise, P. C. (2012). Mission-Integrated Synthesis/Design Optimization of Aerospace Subsystems under Transient Conditions. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/76855
Chicago Manual of Style (16th Edition):
Weise, Peter Carl. “Mission-Integrated Synthesis/Design Optimization of Aerospace Subsystems under Transient Conditions.” 2012. Masters Thesis, Virginia Tech. Accessed March 04, 2021.
http://hdl.handle.net/10919/76855.
MLA Handbook (7th Edition):
Weise, Peter Carl. “Mission-Integrated Synthesis/Design Optimization of Aerospace Subsystems under Transient Conditions.” 2012. Web. 04 Mar 2021.
Vancouver:
Weise PC. Mission-Integrated Synthesis/Design Optimization of Aerospace Subsystems under Transient Conditions. [Internet] [Masters thesis]. Virginia Tech; 2012. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/10919/76855.
Council of Science Editors:
Weise PC. Mission-Integrated Synthesis/Design Optimization of Aerospace Subsystems under Transient Conditions. [Masters Thesis]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/76855
University of Manchester
7.
Brown, Liam John.
General blending models for mixture experiments : design and analysis.
Degree: PhD, 2014, University of Manchester
URL: https://www.research.manchester.ac.uk/portal/en/theses/general-blending-models-for-mixture-experiments-design-and-analysis(6ab3808d-7ceb-473b-bfef-68c613265f3e).html
;
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617963
► It is felt the position of the Scheffé polynomials as the primary, or sometimes sole recourse for practitioners of mixture experiments leads to a lack…
(more)
▼ It is felt the position of the Scheffé polynomials as the primary, or sometimes sole recourse for practitioners of mixture experiments leads to a lack of enquiry regarding the type of blending behaviour that is used to describe the response and that this could be detrimental to achieving experimental objectives. Consequently, a new class of models and new experimental designs are proposed allowing a more thorough exploration of the experimental region with respect to different blending behaviours, especially those not associated with established models for mixtures, in particular the Scheffé polynomials. The proposed General Blending Models for Mixtures (GBMM) are a powerful tool allowing a broad range of blending behaviour to be described. These include those of the Scheffé polynomials (and its reparameterisations) and Becker's models. The potential benefits to be gained from their application include greater model parsimony and increased interpretability. Through this class of models it is possible for a practitioner to reject the assumptions inherent in choosing to model with the Scheffé polynomials and instead adopt a more open approach, flexible to many different types of behaviour. These models are presented alongside a fitting procedure, implementing a stepwise regression approach to the estimation of partially linear models with multiple nonlinear terms. The new class of models has been used to develop designs which allow the response surface to be explored fully with respect to the range of blending behaviours the GBMM may describe. These designs may additionally be targeted at exploring deviation from the behaviour described by the established models. As such, these designs may be thought to possess an enhanced optimality with respect to these models. They both possess good properties with respect to optimality criterion, but are also designed to be robust against model uncertainty.
Subjects/Keywords: 519.5; Mixture Experiments; Design of Experiments; Nonlinear Models
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APA ·
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MLA ·
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CSE |
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Brown, L. J. (2014). General blending models for mixture experiments : design and analysis. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/general-blending-models-for-mixture-experiments-design-and-analysis(6ab3808d-7ceb-473b-bfef-68c613265f3e).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617963
Chicago Manual of Style (16th Edition):
Brown, Liam John. “General blending models for mixture experiments : design and analysis.” 2014. Doctoral Dissertation, University of Manchester. Accessed March 04, 2021.
https://www.research.manchester.ac.uk/portal/en/theses/general-blending-models-for-mixture-experiments-design-and-analysis(6ab3808d-7ceb-473b-bfef-68c613265f3e).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617963.
MLA Handbook (7th Edition):
Brown, Liam John. “General blending models for mixture experiments : design and analysis.” 2014. Web. 04 Mar 2021.
Vancouver:
Brown LJ. General blending models for mixture experiments : design and analysis. [Internet] [Doctoral dissertation]. University of Manchester; 2014. [cited 2021 Mar 04].
Available from: https://www.research.manchester.ac.uk/portal/en/theses/general-blending-models-for-mixture-experiments-design-and-analysis(6ab3808d-7ceb-473b-bfef-68c613265f3e).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617963.
Council of Science Editors:
Brown LJ. General blending models for mixture experiments : design and analysis. [Doctoral Dissertation]. University of Manchester; 2014. Available from: https://www.research.manchester.ac.uk/portal/en/theses/general-blending-models-for-mixture-experiments-design-and-analysis(6ab3808d-7ceb-473b-bfef-68c613265f3e).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617963
University of California – Riverside
8.
Sheldon, David.
Design Space Exploration of Parameterized Systems using Design of Experiments.
Degree: Computer Science, 2011, University of California – Riverside
URL: http://www.escholarship.org/uc/item/1nc163dw
► Recent trends have led to parameterization of many computing components, such as parameterized processors, caches, FPGAs or networks-on-chip, as well as parameters in design tools…
(more)
▼ Recent trends have led to parameterization of many computing components, such as parameterized processors, caches, FPGAs or networks-on-chip, as well as parameters in design tools such as optimization flags. Tuning parameterized systems to meet design goals like performance, energy, size, or power, has become harder due to the enormous design space created by such parameters and due to the large time required to evaluate each system configuration. Previous design space exploration approaches for parameterized systems have either focused on custom or randomized search heuristics. We map such design space exploration onto a statistical paradigm known as Design of Experiments, a paradigm under development since the 1920s that uses methodical experiment selection and sophisticated analysis to obtain maximum information using a minimum number of experiments. We introduce our DPG (Design-of-experiments Pareto-point Generator) method that performs flexible exploration by allowing the designer to provide information about the number and types of parameters, the approximate time to evaluate a configuration, and the total allowable exploration time. From that information, DPG automatically determines a custom set of experiments to best explore the design space within the allowable time. Such customized design-of-experiments-based exploration represents the unique contribution of this work. We show that DPG provides competitive results across different domains, without requiring the designer to have a detailed understanding of parameter impacts. We created a web-based DPG tool to support designers from various domains, which accepts information from the designer and generates experiments that the designer conducts (iteratively), and generates data and plots from the analysis, including Pareto-points. The effectiveness of the DoE paradigm for system tuning may have broad applicability for design automation.
Subjects/Keywords: Computer science; Application-Specific tuning; Design of Experiments; Design Space Exploration
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APA ·
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Manager
APA (6th Edition):
Sheldon, D. (2011). Design Space Exploration of Parameterized Systems using Design of Experiments. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/1nc163dw
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Sheldon, David. “Design Space Exploration of Parameterized Systems using Design of Experiments.” 2011. Thesis, University of California – Riverside. Accessed March 04, 2021.
http://www.escholarship.org/uc/item/1nc163dw.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Sheldon, David. “Design Space Exploration of Parameterized Systems using Design of Experiments.” 2011. Web. 04 Mar 2021.
Vancouver:
Sheldon D. Design Space Exploration of Parameterized Systems using Design of Experiments. [Internet] [Thesis]. University of California – Riverside; 2011. [cited 2021 Mar 04].
Available from: http://www.escholarship.org/uc/item/1nc163dw.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Sheldon D. Design Space Exploration of Parameterized Systems using Design of Experiments. [Thesis]. University of California – Riverside; 2011. Available from: http://www.escholarship.org/uc/item/1nc163dw
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Rochester Institute of Technology
9.
Little, Rory W.
Advancing implementation conditions of optimal experimental design for dual response systems using one continuous response and one binary response.
Degree: MS, Industrial and Systems Engineering, 2019, Rochester Institute of Technology
URL: https://scholarworks.rit.edu/theses/10017
► Optimal designs are computer-generated experimental designs that provide an experimenter with an ‘optimal’ set of experimental trials. Historically, optimal experimental design has been limited…
(more)
▼ Optimal designs are computer-generated experimental designs that provide an experimenter with an ‘optimal’ set of experimental trials. Historically, optimal experimental
design has been limited to optimization with regards to a single criterion for a single response variable. Recent research by Burke et al. (2017) made it possible to create a dual response optimal designs for cases involving
experiments with one continuous response and one binary response. The algorithm in Burke et al. (2017) provides a series of weighted optimal designs across a range of weights between the continuous and binary response cases. This thesis extends the work by Burke et al. (2017) in three ways. First, a new optimality criterion is developed in order to provide more stable algorithm results. Second, a method for selecting the weighted
design that provides the best results for the continuous and binary cases is developed. Finally, a sensitivity analysis on the prior information required to generate the optimal designs in performed.
Advisors/Committee Members: Rachel Silvestrini.
Subjects/Keywords: Design of experiments; Dual response; Experimental design; Optimal
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APA (6th Edition):
Little, R. W. (2019). Advancing implementation conditions of optimal experimental design for dual response systems using one continuous response and one binary response. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10017
Chicago Manual of Style (16th Edition):
Little, Rory W. “Advancing implementation conditions of optimal experimental design for dual response systems using one continuous response and one binary response.” 2019. Masters Thesis, Rochester Institute of Technology. Accessed March 04, 2021.
https://scholarworks.rit.edu/theses/10017.
MLA Handbook (7th Edition):
Little, Rory W. “Advancing implementation conditions of optimal experimental design for dual response systems using one continuous response and one binary response.” 2019. Web. 04 Mar 2021.
Vancouver:
Little RW. Advancing implementation conditions of optimal experimental design for dual response systems using one continuous response and one binary response. [Internet] [Masters thesis]. Rochester Institute of Technology; 2019. [cited 2021 Mar 04].
Available from: https://scholarworks.rit.edu/theses/10017.
Council of Science Editors:
Little RW. Advancing implementation conditions of optimal experimental design for dual response systems using one continuous response and one binary response. [Masters Thesis]. Rochester Institute of Technology; 2019. Available from: https://scholarworks.rit.edu/theses/10017
Colorado State University
10.
Cortés-Mestres, Luis A.
Second-order sub-array Cartesian product split-plot design.
Degree: PhD, Mechanical Engineering, 2015, Colorado State University
URL: http://hdl.handle.net/10217/167248
► Fisher (1926) laid down the fundamental principles of design of experiments: factorization, replication, randomization, and local control of error. In industrial experiments, however, departure from…
(more)
▼ Fisher (1926) laid down the fundamental principles of
design of
experiments: factorization, replication, randomization, and local control of error. In industrial
experiments, however, departure from these principles is commonplace. Many industrial
experiments involve situations in which complete randomization may not be feasible because the factor level settings are impractical or inconvenient to change, the resources available to complete the experiment in homogenous settings are limited, or both. Restricted randomization due to factor levels that are impractical or inconvenient to change can lead to a split-plot experiment. Restricted randomization due to resource limitation can lead to blocking. Situations that require fitting a second-order model under those conditions lead to a second-order block split-plot experiment. Although response surface methodology has experienced a phenomenal growth since Box and Wilson (1951), the departure from standard methods to tackle second-order block split-plot
design remains, for the most part, unexplored. Most graduate textbooks only provide a relatively basic treatise of the
subject. Peer-reviewed literature is scarce, has a limited number of examples, and provides guidelines that often are too general. This deficit of information leaves practitioners ill prepared to face the roadblocks illuminated by Simpson, Kowalski, and Landman (2004). Practical strategies to help practitioners in dealing with the challenges presented by second-order block split-plot
design are provided, including an end-to-end, innovative approach for the construction of a new form of effective and efficient response surface
design referred to as second-order sub-array Cartesian product split-plot
design. This new form of
design is an alternative to ineffective split-plot designs that are currently in use by the manufacturing and quality control community. The
design is economical, the prediction variance of the regression coefficients is low and stable, and the aliasing between the terms in the model and effects that are not in the model as well as the correlation between similar effects that are not in the model is low. Based on an assessment using well-accepted key
design evaluation criterion, it is demonstrated that second-order sub-array Cartesian product split-plot designs perform as well or better than historical designs that have been considered standards up to this point.
Advisors/Committee Members: Duff, William S. (advisor), Simpson, James R. (advisor), Chong, Edwin K. P. (committee member), Bradley, Thomas H. (committee member), Jathar, Shantanu H. (committee member).
Subjects/Keywords: response surface methodology; split-plot design; restricted randomization; design of experiments
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APA (6th Edition):
Cortés-Mestres, L. A. (2015). Second-order sub-array Cartesian product split-plot design. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/167248
Chicago Manual of Style (16th Edition):
Cortés-Mestres, Luis A. “Second-order sub-array Cartesian product split-plot design.” 2015. Doctoral Dissertation, Colorado State University. Accessed March 04, 2021.
http://hdl.handle.net/10217/167248.
MLA Handbook (7th Edition):
Cortés-Mestres, Luis A. “Second-order sub-array Cartesian product split-plot design.” 2015. Web. 04 Mar 2021.
Vancouver:
Cortés-Mestres LA. Second-order sub-array Cartesian product split-plot design. [Internet] [Doctoral dissertation]. Colorado State University; 2015. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/10217/167248.
Council of Science Editors:
Cortés-Mestres LA. Second-order sub-array Cartesian product split-plot design. [Doctoral Dissertation]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/167248
Georgia Tech
11.
Gu, Li.
Minimum energy designs: Extensions, algorithms, and applications.
Degree: PhD, Industrial and Systems Engineering, 2016, Georgia Tech
URL: http://hdl.handle.net/1853/55668
► Minimum Energy Design (MED) is a recently proposed technique for generating deterministic samples from any arbitrary probability distribution. Most space-filling designs look for uniformity in…
(more)
▼ Minimum Energy
Design (MED) is a recently proposed technique for generating deterministic samples from any arbitrary probability distribution. Most space-filling designs look for uniformity in the region of interest. In MED, some weights are assigned in the optimal
design criterion so that some areas are preferred over the other areas. With a proper choice of the weights, the MED can asymptotically represent the target distribution. In this dissertation, we improve and extend MED in three different aspects. In Chapter 1, we propose an efficient approach that uses MED to construct proposals for an independence sampler in Monte Carlo Markov Chain (MCMC). Between two adjacent temperatures, MED points are selected to keep and transfer the mixing information. In Chapter 2, when evaluations on the posterior distribution become expensive, traditional MC/MCMC methods are infeasible because of the requirement of large samples. MED is a good way to overcome this problem. It can be viewed as a ``deterministic’’ sampling method that avoids repeated sampling in the same places, which dramatically decreases the number of required samples. The MED criterion is generalized and a fast construction algorithm is developed. Finally, in Chapter 3, we propose a new type of MEDs and a new modeling method for robust parameter
design in computer
experiments. In the
design part, a new
design based on the generalized MED criterion is proposed, where different tuning parameters are used for control and noise factors. In the modeling part, we propose a simple but efficient nonstationary Gaussian process that takes into account of the experimental
design structure.
Advisors/Committee Members: Vengazhiyil, Roshan (advisor), Wu, Jeff (advisor), Haaland, Benjamin (committee member), Vidakovic, Brani (committee member), Myers, William (committee member).
Subjects/Keywords: Minimum energy design; Design of experiments; Monte Carlo Markov chain; Robust parameter design; Computer experiments; Gaussian process model
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APA (6th Edition):
Gu, L. (2016). Minimum energy designs: Extensions, algorithms, and applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55668
Chicago Manual of Style (16th Edition):
Gu, Li. “Minimum energy designs: Extensions, algorithms, and applications.” 2016. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/55668.
MLA Handbook (7th Edition):
Gu, Li. “Minimum energy designs: Extensions, algorithms, and applications.” 2016. Web. 04 Mar 2021.
Vancouver:
Gu L. Minimum energy designs: Extensions, algorithms, and applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/55668.
Council of Science Editors:
Gu L. Minimum energy designs: Extensions, algorithms, and applications. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55668
Iowa State University
12.
Marget, Wilmina Mary.
Experimental designs for multiple responses with different models.
Degree: 2015, Iowa State University
URL: https://lib.dr.iastate.edu/etd/14941
► Central composite designs [Box and Wilson (1951)] and Box-Behnken designs [Box and Behnken (1960)] are both widely accepted and used experimental designs for fitting second…
(more)
▼ Central composite designs [Box and Wilson (1951)] and Box-Behnken designs [Box and Behnken (1960)] are both widely accepted and used experimental designs for fitting second order polynomial models in response surface methods. However, these designs are based only on the number of explanatory variables (factors) that are being investigated, and do not take into account any prior information about the system being investigated. In a multivariate problem where prior information is available in the form of a screening experiment or previous process knowledge, investigators often know which factors will be used in the estimation of each response. This work presents alternative designs based on central composite designs and Box-Behnken designs that result in fewer required runs, saving investigators both time and money, by taking this prior information into account.
Subjects/Keywords: Statistics; Box-Behnken Design; Central Composite Design; Design of experiments; Statistics and Probability
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Manager
APA (6th Edition):
Marget, W. M. (2015). Experimental designs for multiple responses with different models. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/14941
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Marget, Wilmina Mary. “Experimental designs for multiple responses with different models.” 2015. Thesis, Iowa State University. Accessed March 04, 2021.
https://lib.dr.iastate.edu/etd/14941.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Marget, Wilmina Mary. “Experimental designs for multiple responses with different models.” 2015. Web. 04 Mar 2021.
Vancouver:
Marget WM. Experimental designs for multiple responses with different models. [Internet] [Thesis]. Iowa State University; 2015. [cited 2021 Mar 04].
Available from: https://lib.dr.iastate.edu/etd/14941.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Marget WM. Experimental designs for multiple responses with different models. [Thesis]. Iowa State University; 2015. Available from: https://lib.dr.iastate.edu/etd/14941
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Virginia Tech
13.
Allison, Darcy L.
Multidisciplinary Analysis and Design Optimization of an Efficient Supersonic Air Vehicle.
Degree: PhD, Aerospace Engineering, 2013, Virginia Tech
URL: http://hdl.handle.net/10919/24187
► This work seeks to develop multidisciplinary design optimization (MDO) methods to find the optimal design of a particular aircraft called an Efficient Supersonic Air Vehicle…
(more)
▼ This work seeks to develop multidisciplinary
design optimization (MDO) methods to find the optimal
design of a particular aircraft called an Efficient Supersonic Air Vehicle (ESAV). This is a long-range military bomber type of aircraft that is to be designed for high speed (supersonic) flight and survivability. The
design metric used to differentiate designs is minimization of the take-off gross weight.
The usefulness of MDO tools, rather than compartmentalized
design practices, in the early stages of the
design process is shown. These tools must be able to adequately analyze all pertinent physics, simultaneously and collectively, that are important to the aircraft of interest.
Low-fidelity and higher-fidelity ESAV MDO frameworks have been constructed. The analysis codes in the higher-fidelity framework were validated by comparison with the legacy B-58 supersonic bomber aircraft. The low-fidelity framework used a computationally expensive process that utilized a large
design of computer
experiments study to explore its
design space. This resulted in identifying an optimal ESAV with an arrow wing planform. Specific challenges to designing an ESAV not addressed with the low-fidelity framework were addressed with the higher-fidelity framework. Specifically, models to characterize the effects of the low-observable ESAV characteristics were required. For example, the embedded engines necessitated a higher-fidelity propulsion model and engine exhaust-washed structures discipline. Low-observability requirements necessitated adding a radar cross section discipline.
A relatively less costly computational process utilizing successive NSGA-II optimization runs was used for the higher-fidelity MDO. This resulted in an optimal ESAV with a trapezoidal wing planform. The NSGA-II optimizer considered arrow wing planforms in early generations during the process, but these were later discarded in favor of the trapezoidal planform. Sensitivities around this optimal
design were computed using the well-known ANOVA method to characterize the surrounding
design space.
The lower and higher fidelity frameworks could not be combined in a mixed-fidelity optimization process because the low-fidelity was not faithful enough to the higher-fidelity analysis results. The low-fidelity optimum was found to be infeasible according to the higher-fidelity framework and vice versa. Therefore, the low-fidelity framework was not capable of guiding the higher-fidelity framework to the eventual trapezoidal planform optimum.
Advisors/Committee Members: Canfield, Robert A. (committee member), Burns, John A. (committee member), Schetz, Joseph A. (committeecochair), Kapania, Rakesh K. (committeecochair).
Subjects/Keywords: aircraft design; multidisciplinary design optimization; supersonic military aircraft; design of computer experiments
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APA (6th Edition):
Allison, D. L. (2013). Multidisciplinary Analysis and Design Optimization of an Efficient Supersonic Air Vehicle. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/24187
Chicago Manual of Style (16th Edition):
Allison, Darcy L. “Multidisciplinary Analysis and Design Optimization of an Efficient Supersonic Air Vehicle.” 2013. Doctoral Dissertation, Virginia Tech. Accessed March 04, 2021.
http://hdl.handle.net/10919/24187.
MLA Handbook (7th Edition):
Allison, Darcy L. “Multidisciplinary Analysis and Design Optimization of an Efficient Supersonic Air Vehicle.” 2013. Web. 04 Mar 2021.
Vancouver:
Allison DL. Multidisciplinary Analysis and Design Optimization of an Efficient Supersonic Air Vehicle. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/10919/24187.
Council of Science Editors:
Allison DL. Multidisciplinary Analysis and Design Optimization of an Efficient Supersonic Air Vehicle. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/24187
Rochester Institute of Technology
14.
Datar, Anuj.
Micro-extrusion process parameter modeling.
Degree: Industrial and Systems Engineering, 2012, Rochester Institute of Technology
URL: https://scholarworks.rit.edu/theses/5710
► Direct write processes are a family of technologies with the ability to deposit functional structures directly onto planar and non-planar surfaces. Direct writing includes a…
(more)
▼ Direct write processes are a family of technologies with the ability to deposit functional structures directly onto planar and non-planar surfaces. Direct writing includes a variety of processes that use different mechanisms to transfer materials on to substrates and can be generally distinguished from conventional rapid prototyping processes by a feature resolution in the sub-micron to micron range. The dispensing system studied in this thesis is a pneumatically actuated micro-extruder which is capable of processing a wide variety of materials. This material dispensing tool is capable of depositing small amounts of material to build three dimensional structures in an accurate and repeatable manner. The material dispensing system in this study has a variety of manufacturing applications ranging from printed electronics to biomedical applications.
The material dispensing system employs a needle valve mechanism that allows ink or slurry to be deposited onto a substrate using air pressure. The dispensing tool used for this research is an nScrypt SmartPump. This research is focused on analyzing the extrusion process and developing and validating a parametric model for the input parameters using a
design of
experiments (DOE) approach. The aim is to improve the repeatability and accuracy of the process.
A two phase approach was used to identify significant input parameters impacting the dimensional properties of a printed track. The first set of
experiments employed a 2-level fractional factorial screening
design where all user controllable parameters were tested against the response variables - height and width of a printed track. Significant parameters from this analysis were then used to build a regression equation for both height and width. It was observed that while the regression equation for height was accurate in predicting the output at intermediate levels, the regression equation for width was unable to do so and displayed signs of curvature. A higher order three-level regression model was then fit to the significant parameters for width and was found to be satisfactory in predicting process output. The errors observed between predicted outputs from the regression equations and actual output dimensions from the validation
experiments were less than 2% and 3% for height and width respectively.
Advisors/Committee Members: Cormier, Denis.
Subjects/Keywords: Design of experiments; Extrusion; Micro-extrusion; nScrypt; Parameter modeling; Regression
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APA (6th Edition):
Datar, A. (2012). Micro-extrusion process parameter modeling. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/5710
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Datar, Anuj. “Micro-extrusion process parameter modeling.” 2012. Thesis, Rochester Institute of Technology. Accessed March 04, 2021.
https://scholarworks.rit.edu/theses/5710.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Datar, Anuj. “Micro-extrusion process parameter modeling.” 2012. Web. 04 Mar 2021.
Vancouver:
Datar A. Micro-extrusion process parameter modeling. [Internet] [Thesis]. Rochester Institute of Technology; 2012. [cited 2021 Mar 04].
Available from: https://scholarworks.rit.edu/theses/5710.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Datar A. Micro-extrusion process parameter modeling. [Thesis]. Rochester Institute of Technology; 2012. Available from: https://scholarworks.rit.edu/theses/5710
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Rochester Institute of Technology
15.
Tracton, Iain.
A DOE to Determine Significant Manufacturing Parameters for OPV Devices.
Degree: MS, Mechanical Engineering, 2020, Rochester Institute of Technology
URL: https://scholarworks.rit.edu/theses/10437
► The study of alternative energy sources is important to fighting climate change by reducing our dependence on burning of fossil fuels. Solar power is…
(more)
▼ The study of alternative energy sources is important to fighting climate change by reducing our dependence on burning of fossil fuels. Solar power is of interest because of the immense power radiated by the sun. Organic Photovoltaic (OPV) devices offer the ability to produce cheaper solar power but are challenged by low device efficiencies. In this study we work with devices made from squaraines (SQ) and a common functionalized fullerene (PCBM). We conduct a
Design of
Experiments (DOE) to determine what manufacturing parameters are affecting device efficiencies. By conducting a DOE, we also gain the ability to determine if there are significant interactions between parameters that are affecting device efficiencies. The parameters chosen (and levels) for investigation were the blend ratio (SQ:PCBM of 3:7 and 1:3), solvent additive (Tetrahydrofuran (THF) and Dimethyl Acetamide (DMA)), concentration of casting solution (12mg/mL and 16mg/mL), spin speed (1200rpm and 1600rpm), annealing time (5mins and 15mins), and annealing temperature (90°C and 120°C). Chloroform served as the main solvent in an 85:15 volume ratio with the additive. Despite an incomplete data set, we were able to determine that the solvent additive (sometimes referred to as a co-solvent) significantly affects device performance: none of the devices made with DMA worked. The cause of this appears to be to have been significant phase separation of our squaraine electron donor and functionalized fullerene acceptor. This paper also critiques the use of DOEs as a research technique and advocates for their use in OPVs because they provide a rigorous and robust methodology for the study of OPVs while also screening variables and interactions for which ones will drive predictive models of device performance, and moving us toward processes that are robust enough to be scaled up when it is becomes time to bring OPVs to market
Advisors/Committee Members: Christopher J. Collison.
Subjects/Keywords: Design of experiments; DOE; Experimental methods; OPV; Organic photovoltaics; Statistical analysis
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APA (6th Edition):
Tracton, I. (2020). A DOE to Determine Significant Manufacturing Parameters for OPV Devices. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10437
Chicago Manual of Style (16th Edition):
Tracton, Iain. “A DOE to Determine Significant Manufacturing Parameters for OPV Devices.” 2020. Masters Thesis, Rochester Institute of Technology. Accessed March 04, 2021.
https://scholarworks.rit.edu/theses/10437.
MLA Handbook (7th Edition):
Tracton, Iain. “A DOE to Determine Significant Manufacturing Parameters for OPV Devices.” 2020. Web. 04 Mar 2021.
Vancouver:
Tracton I. A DOE to Determine Significant Manufacturing Parameters for OPV Devices. [Internet] [Masters thesis]. Rochester Institute of Technology; 2020. [cited 2021 Mar 04].
Available from: https://scholarworks.rit.edu/theses/10437.
Council of Science Editors:
Tracton I. A DOE to Determine Significant Manufacturing Parameters for OPV Devices. [Masters Thesis]. Rochester Institute of Technology; 2020. Available from: https://scholarworks.rit.edu/theses/10437
San Jose State University
16.
Schulkins, Allison.
A Full Factorial Analysis of Polymerization Conditions of Sodium Alginate Beads to Determine the Effect on Diffusivity and Concentration Limit of Tryptophan and Glucose.
Degree: MS, Biomedical, Chemical & Materials Engineering, 2017, San Jose State University
URL: https://doi.org/10.31979/etd.p847-a8jc
;
https://scholarworks.sjsu.edu/etd_theses/4884
► The purpose of this work is to develop an experimental setup with associated mathematical analysis to analyze the changes in diffusivity through calcium alginate…
(more)
▼ The purpose of this work is to develop an experimental setup with associated mathematical analysis to analyze the changes in diffusivity through calcium alginate gel beads made under different polymerization conditions. The diffusivity of the solutes glucose and tryptophan was calculated by measuring the concentration change over time as solute diffused out of the alginate spheres and into the bulk. The alginate beads were generated using different polymerization conditions following a two-level, three-factor, full-factorial matrix with alginate concentration, cross-linker concentration, and cross-linking time as the factors. The diffusivities showed variations between different conditions, which were analyzed to determine the main effects. No factors or interactions were found to affect the diffusivity of tryptophan. The main effects on glucose diffusivity were the cross-link time and the interaction of alginate concentration and cross-linker concentration. The initial concentration absorbed by the gel matrix showed variation across different polymerization conditions. Statistical analysis was repeated for the initial concentration. Cross-linking time and the interaction between cross-link concentration and time were the main effects on glucose initial concentration, and no factors influenced tryptophan initial concentration.
Subjects/Keywords: alginate; design of experiments; diffusion; diffusivity; factorial analysis; polymerization
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APA (6th Edition):
Schulkins, A. (2017). A Full Factorial Analysis of Polymerization Conditions of Sodium Alginate Beads to Determine the Effect on Diffusivity and Concentration Limit of Tryptophan and Glucose. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.p847-a8jc ; https://scholarworks.sjsu.edu/etd_theses/4884
Chicago Manual of Style (16th Edition):
Schulkins, Allison. “A Full Factorial Analysis of Polymerization Conditions of Sodium Alginate Beads to Determine the Effect on Diffusivity and Concentration Limit of Tryptophan and Glucose.” 2017. Masters Thesis, San Jose State University. Accessed March 04, 2021.
https://doi.org/10.31979/etd.p847-a8jc ; https://scholarworks.sjsu.edu/etd_theses/4884.
MLA Handbook (7th Edition):
Schulkins, Allison. “A Full Factorial Analysis of Polymerization Conditions of Sodium Alginate Beads to Determine the Effect on Diffusivity and Concentration Limit of Tryptophan and Glucose.” 2017. Web. 04 Mar 2021.
Vancouver:
Schulkins A. A Full Factorial Analysis of Polymerization Conditions of Sodium Alginate Beads to Determine the Effect on Diffusivity and Concentration Limit of Tryptophan and Glucose. [Internet] [Masters thesis]. San Jose State University; 2017. [cited 2021 Mar 04].
Available from: https://doi.org/10.31979/etd.p847-a8jc ; https://scholarworks.sjsu.edu/etd_theses/4884.
Council of Science Editors:
Schulkins A. A Full Factorial Analysis of Polymerization Conditions of Sodium Alginate Beads to Determine the Effect on Diffusivity and Concentration Limit of Tryptophan and Glucose. [Masters Thesis]. San Jose State University; 2017. Available from: https://doi.org/10.31979/etd.p847-a8jc ; https://scholarworks.sjsu.edu/etd_theses/4884
17.
Bartz-Beielstein, Thomas.
New experimentalism applied to
evolutionary computation.
Degree: 2005, Universität Dortmund
URL: http://hdl.handle.net/2003/21461
► This thesis develops a solid statistical methodology to analyze search heuristics such as evolutionary algorithm s based on the concept of the new experimentalism. The…
(more)
▼ This thesis develops a solid
statistical methodology to analyze search heuristics such as
evolutionary algorithm s based on the concept of the new
experimentalism. The new experimentalism is an influential
discipline in the modern philosophy of science. The new
experimentalists are seeking for a relatively secure basis for
science, not in theory or observation, but in experiment. Deborah
Mayo - one of its prominent proponents - developed a detailed way
in which sc ientific claims can be validated by experiment. First,
the concept of the new experimentalism for computer
experiments is
introduced. The difference between significant and meani ngful
results is detailed. Following Mayo, a re-interpretation of the
Neyman-Pearson theory of testing for computer
experiments is given.
Since statistical tests can be used as l earning tools, they
provide means to extend widely accepted popperian paradigms. Models
are characterized as central elements of science. We claim that
experiment dominates theor y. Many, even conflicting, theories can
co-exist independently for one unique experimental result. Maybe
there is no theory applying to every phenomenon, but many simple
theories describing what happens from case to case. Basic
definitions from computational statistics, classical
design of
experiments (DOE), and modern
design of computer
experiments (DAC
E) are explained to provide the reader with the required background
information from statistics. An elevator group control model, which
has been developed in cooperation with one of the world's leading
elevator manufacturers, is introduced as an example for complex
real-world optimization problems. It is used to illustrate the
difference between art ificial functions from test suites and
real-world problems. Problems related to these commonly used
test-suites are discussed. Experimenters have to decide where to
place sample points. Classical and modern experimental designs are
compared to describe the difference between space-filling designs
and designs that place experimental points at the boundari es of
the experimental region. In many situations, it might be beneficial
to generate the
design points not at once, but sequentially. A
sequential
design, which provides a basis for a parameter tuning
method, is developed. Exogenous strategy parameters, which have to
be specified before an optimization algorithm can be started, are
presented for determi nistic and stochastic search algorithms. The
discussion of the concept of optimization provides the foundation
to define performance measures for search heuristics. Optimization
relies on a number of very restrictive assumptions that are not met
in many real-world settings. Efficiency and effectivity are
introduced with respect to these problems as two i mportant
categories to classify performance measures. As the pre-requisites
have been introduced,
experiments can be performed and analyzed in
framework of the new experimentalis m. A classical approach, based
on DOE, is presented first. Then, sequential parameter
optimization…
Advisors/Committee Members: Schwefel, Hans-Paul.
Subjects/Keywords: Beschränkte Rationalität;
bounded rationality; computational statistics; DACE; DACE; Design
and analysis of computer experiments; design and analysis of
experiments; Design of experiments; design of experiments; DOE;
DOE; Evolutionäre Algorithmen; evolutionary algorithms; Experiment;
Neuer Experimentalismus; new experimentalism; Optimierung;
004
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APA (6th Edition):
Bartz-Beielstein, T. (2005). New experimentalism applied to
evolutionary computation. (Thesis). Universität Dortmund. Retrieved from http://hdl.handle.net/2003/21461
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Bartz-Beielstein, Thomas. “New experimentalism applied to
evolutionary computation.” 2005. Thesis, Universität Dortmund. Accessed March 04, 2021.
http://hdl.handle.net/2003/21461.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Bartz-Beielstein, Thomas. “New experimentalism applied to
evolutionary computation.” 2005. Web. 04 Mar 2021.
Vancouver:
Bartz-Beielstein T. New experimentalism applied to
evolutionary computation. [Internet] [Thesis]. Universität Dortmund; 2005. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/2003/21461.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Bartz-Beielstein T. New experimentalism applied to
evolutionary computation. [Thesis]. Universität Dortmund; 2005. Available from: http://hdl.handle.net/2003/21461
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Texas A&M University
18.
Ricardo, FNU.
A Simulation-Based Screening of Production Parameters in Unconventional Reservoirs.
Degree: MS, Petroleum Engineering, 2018, Texas A&M University
URL: http://hdl.handle.net/1969.1/173837
► Multi-stage hydraulic fracturing is the most commonly used completion technique to produce oil and gas from unconventional reservoirs. The fracture surfaces create a highly conductive…
(more)
▼ Multi-stage hydraulic fracturing is the most commonly used completion technique to produce oil and gas from unconventional reservoirs. The fracture surfaces create a highly conductive area for the drainage of the hydrocarbons from a tight matrix. It is therefore believed that the production performance for unconventional reservoirs is mainly controlled by the fracture and completion
design. However, the in-situ properties of the reservoir matrix and the fluid compositional variability in the matrix could also influence the production performance. Therefore, it is necessary to clearly identify the most important parameters related to both matrix and fractures, in order to fully optimize the production from the unconventional reservoirs.
In this paper the fractional factorial experimental
design is used to perform sensitivity analyses on the unconventional reservoir parameters. This approach allows us to screen the most important matrix and fracture parameters that will affect the production and rank them based on their individual weighting factors. The approach is simulation-based and uses an in-house compositional flow simulator for deformable organic-rich source formations. The problem includes a selected list of 15 parameters related to the formation, fracture and fluid properties, and wellbore conditions. The screening considers the evolution of the weighting factors, during 1, 5 and 10 years of production.
The results show that 9 out of 15 major parameters dominate the production performance of the well, which are matrix porosity, bottomhole pressure, stress-dependence of the matrix permeability, fracture width, fracture permeability and large pore threshold. The rank of each parameter is dependent on the production time.
Advisors/Committee Members: Akkutlu, I. Yucel (advisor), Reece, Julia S. (committee member), Gildin, Eduardo (committee member).
Subjects/Keywords: Sensitivity analysis; optimization; design of experiments; unconventional reservoirs
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Ricardo, F. (2018). A Simulation-Based Screening of Production Parameters in Unconventional Reservoirs. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173837
Chicago Manual of Style (16th Edition):
Ricardo, FNU. “A Simulation-Based Screening of Production Parameters in Unconventional Reservoirs.” 2018. Masters Thesis, Texas A&M University. Accessed March 04, 2021.
http://hdl.handle.net/1969.1/173837.
MLA Handbook (7th Edition):
Ricardo, FNU. “A Simulation-Based Screening of Production Parameters in Unconventional Reservoirs.” 2018. Web. 04 Mar 2021.
Vancouver:
Ricardo F. A Simulation-Based Screening of Production Parameters in Unconventional Reservoirs. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1969.1/173837.
Council of Science Editors:
Ricardo F. A Simulation-Based Screening of Production Parameters in Unconventional Reservoirs. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173837
Penn State University
19.
Nunes, Marcus Alexandre.
Analysis of RNA-Seq Data with Excess of Zeros.
Degree: 2013, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/18932
► Next-generation sequencing technologies are revolutionizing the analysis of genomics data. Also called massively parallel signature sequencing (MPSS), these methods generate large amounts of data by…
(more)
▼ Next-generation sequencing technologies are revolutionizing the analysis of genomics data. Also called massively parallel signature sequencing (MPSS), these methods generate large amounts of data by generating and identifying millions of short sequences of genetic code. These short sequences are aligned to a reference genome and the number of occurrences of reads in each gene is counted. The counts obtained from this procedure are used to define the digital expression of the genes.
However, a large portion of these counts are zeros. The conventional Generalized Linear Model used to test differential expression in RNA-Seq data are not capable of dealing with this issue satisfactorily. In this work we propose a method capable of handling this characteristic of genomic data by using the Hurdle model. We fit Hurdle models to count data from next-gen sequencing sources and we develop a Likelihood Ratio Test to compare the fits of two of these models in order to decide which one better fits the data. We also derive near-optimal designs for these models, using a variation of the exchange algorithm.
We present simulation results to demonstrate the performance of our proposed method and compare it to current methods. In order to gain an understanding of the method characteristics, several cases, with different parameters, are analyzed. To assess the power and the asymptotic behavior of our test, we simulate simple examples where the gene counts do not belong to a genomic dataset. However, to evaluate how our method performs in real world applications, we simulate datasets that resemble real counts from RNA-Seq
experiments. Moreover, we compare our method to a well known differential gene expression method from the literature.
Advisors/Committee Members: James Landis Rosenberger, Dissertation Advisor/Co-Advisor, Yu Zhang, Committee Chair/Co-Chair, Qunhua Li, Committee Member, John Edward Carlson, Special Member.
Subjects/Keywords: generalized linear models; RNA-Seq; design of experiments; optimal
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Chicago ·
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CSE |
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APA (6th Edition):
Nunes, M. A. (2013). Analysis of RNA-Seq Data with Excess of Zeros. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/18932
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Nunes, Marcus Alexandre. “Analysis of RNA-Seq Data with Excess of Zeros.” 2013. Thesis, Penn State University. Accessed March 04, 2021.
https://submit-etda.libraries.psu.edu/catalog/18932.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Nunes, Marcus Alexandre. “Analysis of RNA-Seq Data with Excess of Zeros.” 2013. Web. 04 Mar 2021.
Vancouver:
Nunes MA. Analysis of RNA-Seq Data with Excess of Zeros. [Internet] [Thesis]. Penn State University; 2013. [cited 2021 Mar 04].
Available from: https://submit-etda.libraries.psu.edu/catalog/18932.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Nunes MA. Analysis of RNA-Seq Data with Excess of Zeros. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/18932
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Texas A&M University
20.
Ricardo, FNU.
A Simulation-Based Screening of Production Parameters in Unconventional Reservoirs.
Degree: MS, Petroleum Engineering, 2018, Texas A&M University
URL: http://hdl.handle.net/1969.1/173742
► Multi-stage hydraulic fracturing is the most commonly used completion technique to produce oil and gas from unconventional reservoirs. The fracture surfaces create a highly conductive…
(more)
▼ Multi-stage hydraulic fracturing is the most commonly used completion technique to produce oil and gas from unconventional reservoirs. The fracture surfaces create a highly conductive area for the drainage of the hydrocarbons from a tight matrix. It is therefore believed that the production performance for unconventional reservoirs is mainly controlled by the fracture and completion
design. However, the in-situ properties of the reservoir matrix and the fluid compositional variability in the matrix could also influence the production performance. Therefore, it is necessary to clearly identify the most important parameters related to both matrix and fractures, in order to fully optimize the production from the unconventional reservoirs.
In this paper the fractional factorial experimental
design is used to perform sensitivity analyses on the unconventional reservoir parameters. This approach allows us to screen the most important matrix and fracture parameters that will affect the production and rank them based on their individual weighting factors. The approach is simulation-based and uses an in-house compositional flow simulator for deformable organic-rich source formations. The problem includes a selected list of 15 parameters related to the formation, fracture and fluid properties, and wellbore conditions. The screening considers the evolution of the weighting factors, during 1, 5 and 10 years of production.
The results show that 9 out of 15 major parameters dominate the production performance of the well, which are matrix porosity, bottomhole pressure, stress-dependence of the matrix permeability, fracture width, fracture permeability and large pore threshold. The rank of each parameter is dependent on the production time.
Advisors/Committee Members: Akkutlu, I. Yucel (advisor), Reece, Julia S. (committee member), Gildin, Eduardo (committee member).
Subjects/Keywords: Sensitivity analysis; optimization; design of experiments; unconventional reservoirs
Record Details
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Ricardo, F. (2018). A Simulation-Based Screening of Production Parameters in Unconventional Reservoirs. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173742
Chicago Manual of Style (16th Edition):
Ricardo, FNU. “A Simulation-Based Screening of Production Parameters in Unconventional Reservoirs.” 2018. Masters Thesis, Texas A&M University. Accessed March 04, 2021.
http://hdl.handle.net/1969.1/173742.
MLA Handbook (7th Edition):
Ricardo, FNU. “A Simulation-Based Screening of Production Parameters in Unconventional Reservoirs.” 2018. Web. 04 Mar 2021.
Vancouver:
Ricardo F. A Simulation-Based Screening of Production Parameters in Unconventional Reservoirs. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1969.1/173742.
Council of Science Editors:
Ricardo F. A Simulation-Based Screening of Production Parameters in Unconventional Reservoirs. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173742
West Virginia University
21.
Shi, Xiaofei.
Chemometric Calibration of Surface enchanced Raman Spectra for Quantitative Analysis.
Degree: PhD, Industrial and Managements Systems Engineering, 2019, West Virginia University
URL: https://doi.org/10.33915/etd.7443
;
https://researchrepository.wvu.edu/etd/7443
► Raman spectroscopy, recognized as a powerful analytical technique, has been widely employed in many fields especially in the detection of hazard material containing in…
(more)
▼ Raman spectroscopy, recognized as a powerful analytical technique, has been widely employed in many fields especially in the detection of hazard material containing in food or water. However, multiplexed analyte quantification based on Raman spectra remains a challenge due to the difficulties in accurate and precise modeling of the relationship between multiple analyte concentrations and dense spectral data with noise.
In this work, a statistical procedure was developed to efficiently generate high-quality calibration models quantifying the analyte concentrations versus spectra relationship. The resulting calibration models are able to provide estimated concentration ranges (which reflect both point and uncertainty estimates) for the analytes of interest in an unknown sample based on its observed Raman spectrum. The calibration procedure integrates three unique methodology components. (i) Stochastic kriging with time-series errors was adapted to model Raman spectra as a function on analyte concentrations. (ii) Built on the kriging modeling, bootstrap resampling methods were adapted to quantify the uncertainty of analyte concentration estimates. (iii) Based on the uncertainty quantification capability, a two-stage experimental
design method was developed for efficient sampling: How to use a minimum amount of experimental effort to achieve calibration models with desired uncertainty of analyte estimates?
Simulation studies were derived from laboratory experimental data, and used to demonstrate the efficiency of the calibration procedure over the methods.
Advisors/Committee Members: Feng Yang, Nianqiang Wu.
Subjects/Keywords: Chemometrics; Kriging; Design of experiments; Inverse modeling; Uncertainty quantification; Operational Research
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Shi, X. (2019). Chemometric Calibration of Surface enchanced Raman Spectra for Quantitative Analysis. (Doctoral Dissertation). West Virginia University. Retrieved from https://doi.org/10.33915/etd.7443 ; https://researchrepository.wvu.edu/etd/7443
Chicago Manual of Style (16th Edition):
Shi, Xiaofei. “Chemometric Calibration of Surface enchanced Raman Spectra for Quantitative Analysis.” 2019. Doctoral Dissertation, West Virginia University. Accessed March 04, 2021.
https://doi.org/10.33915/etd.7443 ; https://researchrepository.wvu.edu/etd/7443.
MLA Handbook (7th Edition):
Shi, Xiaofei. “Chemometric Calibration of Surface enchanced Raman Spectra for Quantitative Analysis.” 2019. Web. 04 Mar 2021.
Vancouver:
Shi X. Chemometric Calibration of Surface enchanced Raman Spectra for Quantitative Analysis. [Internet] [Doctoral dissertation]. West Virginia University; 2019. [cited 2021 Mar 04].
Available from: https://doi.org/10.33915/etd.7443 ; https://researchrepository.wvu.edu/etd/7443.
Council of Science Editors:
Shi X. Chemometric Calibration of Surface enchanced Raman Spectra for Quantitative Analysis. [Doctoral Dissertation]. West Virginia University; 2019. Available from: https://doi.org/10.33915/etd.7443 ; https://researchrepository.wvu.edu/etd/7443
University of Manchester
22.
Sammut-Powell, Camilla.
Improved Design Criteria Robust for Complex Variance
Structures.
Degree: 2018, University of Manchester
URL: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:313032
► There are many design criteria available which have been constructed to address specific statistical design problems. Although much research has been conducted to improve the…
(more)
▼ There are many
design criteria available which have
been constructed to address specific statistical
design problems.
Although much research has been conducted to improve the
design
procedure to address the needs of the experiment, often with the
introduction of new criteria, it can be that they lack robustness
to assumptions meaning that the optimum
design produced could be of
little use if the experimental assumptions are not met. Not
evaluating the robustness for such criteria could therefore be
detrimental to a study and criteria which are highly sensitive to
such issues should not be used. Within the thesis, we consider the
performance of some chosen criteria for response surface studies
when assumptions are no longer met. We demonstrate flaws in well
accepted criteria and introduce new and improved criteria which are
more appropriate for the construction and evaluation of designs.
The problems addressed are for designs with interest in estimating
the parameters and hence take some functional form of the
D-optimality criterion. The new criteria proposed provide superior
alternative designs to the naively constructed designs using the
accepted criteria. The focus is on three problems: the effect of
trends on designs, self-robustness of a
design with respect to
parameter estimates and the inappropriate use of a criterion
developed from asymptotic results in small samples. The effect of
trends has only been studied within a restrictive choice of models,
with the aim of orthogonalizing the fixed effect parameters to the
trend parameters. We propose a new criterion which allows the trend
to affect the variance and for the response to have a non-normal
distribution, as well as having other advantageous properties. We
also propose a criterion to evaluate the self-robustness of a
design, i.e. robust for the assumed parameter values, which uses
the information matrix to generate the possibilities for the
parameter estimate and is therefore dependent on the
design. This
is a dynamic approach and allows for an intrinsic assessment of the
performance of a
design. The inappropriate use of criteria
developed from asymptotic results in small samples is our final
design problem of interest. We propose using a corrected criterion,
adjusting for the use of an asymptotic result in a small sample.
The correction takes into account the use of the estimates of
variance components and combines the information for the fixed
effects and the variance components in a new way other than simply
taking the product of the information matrices.
Advisors/Committee Members: PAN, JIANXIN J, Donev, Alexander, Pan, Jianxin.
Subjects/Keywords: Design of Experiments; Robustness; Variance Components; Small Samples; Mixed Models
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APA ·
Chicago ·
MLA ·
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CSE |
Export
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Manager
APA (6th Edition):
Sammut-Powell, C. (2018). Improved Design Criteria Robust for Complex Variance
Structures. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:313032
Chicago Manual of Style (16th Edition):
Sammut-Powell, Camilla. “Improved Design Criteria Robust for Complex Variance
Structures.” 2018. Doctoral Dissertation, University of Manchester. Accessed March 04, 2021.
http://www.manchester.ac.uk/escholar/uk-ac-man-scw:313032.
MLA Handbook (7th Edition):
Sammut-Powell, Camilla. “Improved Design Criteria Robust for Complex Variance
Structures.” 2018. Web. 04 Mar 2021.
Vancouver:
Sammut-Powell C. Improved Design Criteria Robust for Complex Variance
Structures. [Internet] [Doctoral dissertation]. University of Manchester; 2018. [cited 2021 Mar 04].
Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:313032.
Council of Science Editors:
Sammut-Powell C. Improved Design Criteria Robust for Complex Variance
Structures. [Doctoral Dissertation]. University of Manchester; 2018. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:313032
Universidade do Rio Grande do Sul
23.
Farias, Marcelo Fernandes.
Determinação da influência de parâmetros de processo de forjamento a quente utilizando DOE (projeto de experimentos).
Degree: 2017, Universidade do Rio Grande do Sul
URL: http://hdl.handle.net/10183/170979
► Atualmente o Projeto de Experimentos (DOE) vem sendo largamente utilizado para determinar os fatores de projetos e processos mais significativos afetando uma variável resposta e…
(more)
▼ Atualmente o Projeto de Experimentos (DOE) vem sendo largamente utilizado para determinar os fatores de projetos e processos mais significativos afetando uma variável resposta e para estabelecer modelos empíricos entre os fatores, entretanto este método ainda é pouco utilizado e processo de forjamento a quente. O presente trabalho analisa a influência individual e cumulativa de alguns parâmetros controláveis de um processo de forjamento a quente em matriz fechada na força de prensagem necessária para sua realização. Esta análise foi realizada utilizando a técnica de Projeto de Experimentos (DOE). Para a determinação da influência dos parâmetros de processo selecionados na variável resposta do Projeto de Experimentos (DOE), uma série de ensaios variando o lubrificante utilizado, o diâmetro da geratriz e a temperatura de forjamento foram realizados. A variável resposta para o experimento foi definida como a força de prensagem exigida do equipamento para a realização do forjamento. Para este trabalho foi utilizado o material ABNT 4140 fornecido em barras trefiladas de 28,6mm (1.1/8″) posteriormente forjado a quente em matriz fechada. Os resultados mostraram que o fator que mais influencia na força de prensagem para a situação ensaiada é o lubrificante. Os demais fatores, mesmo combinados, não apresentaram uma influência significativa na variável resposta. O presente estudo demonstra que é possível a utilização de técnicas de ajuste e definição de parâmetros de processo de forjamento a quente de maneira confiável e sem a necesside da aplicação dos complexos programas de simulação computacional e os métodos de tentativa e erro ainda presentes na indústria. Finalmente este trabalho reforça a versatilidade do Projeto de Experimentos (DOE) ainda pouco aplicado em processos de forjamento.
Nowadays the Design of Experiments (DOE) has been widely used to determine the most significant project and process factors affecting a response variable and to establish empirical models among the factors, although this method is still little used and the process of hot forging. This work analyzes the individual and cumulative influence of some controllable parameters in a closed die hot forging process in the pressing force required for its realization. This analysis was performed using a Design of Experiments (DOE) method. To determine the influence of variable factors selected in response Design of Experiments (DOE), a several tests varying the lubricant, the diameter of the billet and the forging temperature was performed. The response variable for the experiment was defined as pressing force. For this study, it was used the ABNT 4140 steel provided in drawn bars of 28,6mm (1 1/8 ″). The fator that had more influence over the pressing force was the lubricant. Other factors, whether or not combined, did not show a significant influence on the response variable. This study demonstrates that it is possible use techniques to set hot forging process parameters reliably and without necesside the application of complex computer simulation…
Advisors/Committee Members: Schaeffer, Lirio.
Subjects/Keywords: Design of Experiments; Forjamento a quente; Métodos estatísticos; DOE; Hot Forging
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APA ·
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APA (6th Edition):
Farias, M. F. (2017). Determinação da influência de parâmetros de processo de forjamento a quente utilizando DOE (projeto de experimentos). (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/170979
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Farias, Marcelo Fernandes. “Determinação da influência de parâmetros de processo de forjamento a quente utilizando DOE (projeto de experimentos).” 2017. Thesis, Universidade do Rio Grande do Sul. Accessed March 04, 2021.
http://hdl.handle.net/10183/170979.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Farias, Marcelo Fernandes. “Determinação da influência de parâmetros de processo de forjamento a quente utilizando DOE (projeto de experimentos).” 2017. Web. 04 Mar 2021.
Vancouver:
Farias MF. Determinação da influência de parâmetros de processo de forjamento a quente utilizando DOE (projeto de experimentos). [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2017. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/10183/170979.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Farias MF. Determinação da influência de parâmetros de processo de forjamento a quente utilizando DOE (projeto de experimentos). [Thesis]. Universidade do Rio Grande do Sul; 2017. Available from: http://hdl.handle.net/10183/170979
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Manitoba
24.
Sirski, Monica.
On the statistical analysis of functional data arising from designed experiments.
Degree: Statistics, 2012, University of Manitoba
URL: http://hdl.handle.net/1993/5285
► We investigate various methods for testing whether two groups of curves are statistically significantly different, with the motivation to apply the techniques to the analysis…
(more)
▼ We investigate various methods for testing whether two groups of curves are statistically significantly different, with the motivation to apply the techniques to the
analysis of data arising from designed
experiments. We propose a set of tests based on pairwise differences between individual curves. Our objective is to compare the power and robustness of a variety of tests, including a collection of permutation tests, a test based on the functional principal components scores, the adaptive Neyman test and the functional F test. We illustrate the application of these tests in the context of a designed 2
4 factorial experiment with a case study using data provided by NASA. We apply the methods for comparing curves to this factorial data by dividing the data into two groups by each effect (A, B, . . . , ABCD) in turn. We carry out a large simulation study investigating the power of the tests in detecting contamination, location, and shift effects on unimodal and monotone curves. We conclude that the permutation test using the mean of the pairwise differences in L1 norm has the best overall power performance and is a robust test statistic applicable in a wide variety of situations. The advantage of using a permutation test is that it is an exact, distribution-free test that performs well overall when applied to functional data. This test may be extended to more than two groups by constructing test statistics based on averages of pairwise differences between curves from the different groups and, as such, is an important building-block for larger
experiments and more complex designs.
Advisors/Committee Members: Brewster, John F. (Statistics) (supervisor), Leblanc, Alexandre (Statistics) McLeod, Robert (Statistics), Lix, Lisa (Community Health Sciences) Vining, G. Geoffrey (Virginia Tech) (examiningcommittee).
Subjects/Keywords: functional data analysis; design of experiments; permutation test; power analysis
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APA ·
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MLA ·
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CSE |
Export
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Manager
APA (6th Edition):
Sirski, M. (2012). On the statistical analysis of functional data arising from designed experiments. (Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/5285
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Sirski, Monica. “On the statistical analysis of functional data arising from designed experiments.” 2012. Thesis, University of Manitoba. Accessed March 04, 2021.
http://hdl.handle.net/1993/5285.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Sirski, Monica. “On the statistical analysis of functional data arising from designed experiments.” 2012. Web. 04 Mar 2021.
Vancouver:
Sirski M. On the statistical analysis of functional data arising from designed experiments. [Internet] [Thesis]. University of Manitoba; 2012. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1993/5285.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Sirski M. On the statistical analysis of functional data arising from designed experiments. [Thesis]. University of Manitoba; 2012. Available from: http://hdl.handle.net/1993/5285
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Linköping University
25.
Raja, Visakha.
Sub-Modelling of a Jet Engine Component and Creation of Stiffness Interval Based on Cast Dimensional Variations.
Degree: Solid Mechanics, 2011, Linköping University
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-69479
► While designing jet-engine components information about the loads that the component will be subjected to, is critical. For this, a full system analysis of…
(more)
▼ While designing jet-engine components information about the loads that the component will be subjected to, is critical. For this, a full system analysis of the engine is often performed with every component put together in a large finite element model, which is called the whole engine model (WEM). This model will mostly be composed of lower order shell elements with a few thousands of elements. At the design level of a component, the FE model is detailed with several hundred thousand higher order solid elements. The detailed model cannot be directly put into the whole engine model due to excessive run times. Therefore there must be a simpler representation of the component -a sub-model- with much fewer elements so that it can be assembled into the whole engine model. This simple model must have the same stiffness (load/displacement) in chosen directions, the same mass and the basic mode shapes and frequencies should also be the same with the detailed model. 4 different structural optimisation schemes were studied to prepare a model: sizing optimisation, optimisation with material properties as design variables, combined sizing and material property optimisation and free-size optimisation. Among these free-size optimisation where each element in the model has its own design variable -thickness- was found to be the most effective method. The stiffness could be matched to the detailed model as close as 5% and so also could the first two fundamental mode shapes and frequencies. Additionally, the initial sub-model prepared was used to do a preliminary study on how variations in casting dimensions would affect the stiffness of the component in a certain direction. This was done by creating a design of experiments (DoE) for the stiffness. A response surface for the stiffness was created in terms of the dimensions that have the most significant effect. This was later used to predict an interval for the stiffness based on variations in the cast dimensions with a confidence level of 99.7%.
Subjects/Keywords: Sub-modelling; Structural Optimisation; Design of Experiments; TECHNOLOGY; TEKNIKVETENSKAP
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APA (6th Edition):
Raja, V. (2011). Sub-Modelling of a Jet Engine Component and Creation of Stiffness Interval Based on Cast Dimensional Variations. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-69479
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Raja, Visakha. “Sub-Modelling of a Jet Engine Component and Creation of Stiffness Interval Based on Cast Dimensional Variations.” 2011. Thesis, Linköping University. Accessed March 04, 2021.
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-69479.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Raja, Visakha. “Sub-Modelling of a Jet Engine Component and Creation of Stiffness Interval Based on Cast Dimensional Variations.” 2011. Web. 04 Mar 2021.
Vancouver:
Raja V. Sub-Modelling of a Jet Engine Component and Creation of Stiffness Interval Based on Cast Dimensional Variations. [Internet] [Thesis]. Linköping University; 2011. [cited 2021 Mar 04].
Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-69479.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Raja V. Sub-Modelling of a Jet Engine Component and Creation of Stiffness Interval Based on Cast Dimensional Variations. [Thesis]. Linköping University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-69479
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Delft University of Technology
26.
van den Bergh, Arjan (author).
Systematic Design Optimization of grabs handling cohesive bulk materials: Systematisch ontwerp optimalisatie van overslag grijpers voor cohesive bulk materialen.
Degree: 2019, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:13045a6d-59a3-4907-9b8e-7f1e2636e8ce
► Grabs are often used for unloading bulk carriers that transport iron ore cargoes around the globe. The unloading process is time-consuming, and terminals strive to…
(more)
▼ Grabs are often used for unloading bulk carriers that transport iron ore cargoes around the globe. The unloading process is time-consuming, and terminals strive to maximise their turnover capacity. Grab performance is a combination of maximum crane capacity, grab design and bulk material behaviour. Due to bulk uncertainties occurred by varying physical bulk properties, moisture content and consolidation, grab performance is hard to predict. To incorporate the bulk variability in the design process of grabs, or other large-scale bulk handling equipment, an optimization framework is proposed in which equipment is systematically optimized. With the framework an iron ore grab is optimized for handling iron ore pellets and iron ore fines. By a minimum number of experiments grab design was improved, increasing the turnover capacity for iron ore pellets by 12% and iron ore fines with 8%, and reducing the effect of varying bulk conditions. Optimization methods such as Latin Hypercube sampling, surrogate modelling and genetic algorithms proved to be successful for grab optimization. Further research of implementing the framework in the design process, and surrogate modelling is recommended.
Transport Engineering and Logistics
Advisors/Committee Members: Schott, Dingena (mentor), Mohajeri, Javad (mentor), Delft University of Technology (degree granting institution).
Subjects/Keywords: Optimisation framework; DEM; Grabs; Cohesive bulk materials; Design of Experiments
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APA (6th Edition):
van den Bergh, A. (. (2019). Systematic Design Optimization of grabs handling cohesive bulk materials: Systematisch ontwerp optimalisatie van overslag grijpers voor cohesive bulk materialen. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:13045a6d-59a3-4907-9b8e-7f1e2636e8ce
Chicago Manual of Style (16th Edition):
van den Bergh, Arjan (author). “Systematic Design Optimization of grabs handling cohesive bulk materials: Systematisch ontwerp optimalisatie van overslag grijpers voor cohesive bulk materialen.” 2019. Masters Thesis, Delft University of Technology. Accessed March 04, 2021.
http://resolver.tudelft.nl/uuid:13045a6d-59a3-4907-9b8e-7f1e2636e8ce.
MLA Handbook (7th Edition):
van den Bergh, Arjan (author). “Systematic Design Optimization of grabs handling cohesive bulk materials: Systematisch ontwerp optimalisatie van overslag grijpers voor cohesive bulk materialen.” 2019. Web. 04 Mar 2021.
Vancouver:
van den Bergh A(. Systematic Design Optimization of grabs handling cohesive bulk materials: Systematisch ontwerp optimalisatie van overslag grijpers voor cohesive bulk materialen. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 04].
Available from: http://resolver.tudelft.nl/uuid:13045a6d-59a3-4907-9b8e-7f1e2636e8ce.
Council of Science Editors:
van den Bergh A(. Systematic Design Optimization of grabs handling cohesive bulk materials: Systematisch ontwerp optimalisatie van overslag grijpers voor cohesive bulk materialen. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:13045a6d-59a3-4907-9b8e-7f1e2636e8ce
University of Florida
27.
Zhang, Yiming.
Using Multiple Predictions and Multiple Sources of Data for Design Space Exploration.
Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2018, University of Florida
URL: https://ufdc.ufl.edu/UFE0052158
► Design optimization and uncertainty quantification need to examine a large number of candidate configurations. This is commonly done by doing simulations and/or experiments at a…
(more)
▼ Design optimization and uncertainty quantification need to examine a large number of candidate configurations. This is commonly done by doing simulations and/or
experiments at a number of
design points and approximating at untested points using surrogates. The objective of this work is to check on combining multiple ways to predict by integrating various data sources and numerical models. A series of approaches are proposed as in the following.
Advisors/Committee Members: HAFTKA,RAPHAEL TUVIA (committee chair), BALACHANDAR,SIVARAMAKRISHNAN (committee member), MICHAILIDIS,GEORGE (committee member), JACKSON,THOMAS L (committee member), LAM,HERMAN (committee member).
Subjects/Keywords: design-of-experiments – multi-fidelity – multiple-predictions – surrogate-modeling – uncertainty-quantification
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APA ·
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Manager
APA (6th Edition):
Zhang, Y. (2018). Using Multiple Predictions and Multiple Sources of Data for Design Space Exploration. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0052158
Chicago Manual of Style (16th Edition):
Zhang, Yiming. “Using Multiple Predictions and Multiple Sources of Data for Design Space Exploration.” 2018. Doctoral Dissertation, University of Florida. Accessed March 04, 2021.
https://ufdc.ufl.edu/UFE0052158.
MLA Handbook (7th Edition):
Zhang, Yiming. “Using Multiple Predictions and Multiple Sources of Data for Design Space Exploration.” 2018. Web. 04 Mar 2021.
Vancouver:
Zhang Y. Using Multiple Predictions and Multiple Sources of Data for Design Space Exploration. [Internet] [Doctoral dissertation]. University of Florida; 2018. [cited 2021 Mar 04].
Available from: https://ufdc.ufl.edu/UFE0052158.
Council of Science Editors:
Zhang Y. Using Multiple Predictions and Multiple Sources of Data for Design Space Exploration. [Doctoral Dissertation]. University of Florida; 2018. Available from: https://ufdc.ufl.edu/UFE0052158
University of Arkansas
28.
Harris, Michael.
Spatio-Temporal Prediction of Arkansas Gubernatorial Election.
Degree: MS, 2019, University of Arkansas
URL: https://scholarworks.uark.edu/etd/3414
► Our goal is to create spatio-temporal models for predicting future gubernatorial elections. For a concrete example of how well our models work we use…
(more)
▼ Our goal is to create spatio-temporal models for predicting future gubernatorial elections. For a concrete example of how well our models work we use past data to predict the 2018 Arkansas gubernatorial election and use the existing 2018 election data to check our models predictive accuracy. Gubernatorial election data was collected from the Arkansas Secretary of State website while related covariate data was collected from the website for the Federal Reserve Bank of St. Louis. The data we collect is on the county level. For predictive purposes we fit multiple models to the data using Markov chain Monte Carlo and compare each model to determine which has the best predictive ability.
Advisors/Committee Members: Giovanni Petris, Avishek Chakraborty, John R. Tipton.
Subjects/Keywords: Design of Experiments and Sample Surveys; Statistical Models
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APA (6th Edition):
Harris, M. (2019). Spatio-Temporal Prediction of Arkansas Gubernatorial Election. (Masters Thesis). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/3414
Chicago Manual of Style (16th Edition):
Harris, Michael. “Spatio-Temporal Prediction of Arkansas Gubernatorial Election.” 2019. Masters Thesis, University of Arkansas. Accessed March 04, 2021.
https://scholarworks.uark.edu/etd/3414.
MLA Handbook (7th Edition):
Harris, Michael. “Spatio-Temporal Prediction of Arkansas Gubernatorial Election.” 2019. Web. 04 Mar 2021.
Vancouver:
Harris M. Spatio-Temporal Prediction of Arkansas Gubernatorial Election. [Internet] [Masters thesis]. University of Arkansas; 2019. [cited 2021 Mar 04].
Available from: https://scholarworks.uark.edu/etd/3414.
Council of Science Editors:
Harris M. Spatio-Temporal Prediction of Arkansas Gubernatorial Election. [Masters Thesis]. University of Arkansas; 2019. Available from: https://scholarworks.uark.edu/etd/3414
University of Manchester
29.
Sammut-Powell, Camilla.
Improved design criteria robust for complex variance structures.
Degree: PhD, 2018, University of Manchester
URL: https://www.research.manchester.ac.uk/portal/en/theses/improved-design-criteria-robust-for-complex-variance-structures(dd96c6d8-cb38-4c26-a125-fb24c50c77e3).html
;
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771454
► There are many design criteria available which have been constructed to address specific statistical design problems. Although much research has been conducted to improve the…
(more)
▼ There are many design criteria available which have been constructed to address specific statistical design problems. Although much research has been conducted to improve the design procedure to address the needs of the experiment, often with the introduction of new criteria, it can be that they lack robustness to assumptions meaning that the optimum design produced could be of little use if the experimental assumptions are not met. Not evaluating the robustness for such criteria could therefore be detrimental to a study and criteria which are highly sensitive to such issues should not be used. Within the thesis, we consider the performance of some chosen criteria for response surface studies when assumptions are no longer met. We demonstrate flaws in well accepted criteria and introduce new and improved criteria which are more appropriate for the construction and evaluation of designs. The problems addressed are for designs with interest in estimating the parameters and hence take some functional form of the D-optimality criterion. The new criteria proposed provide superior alternative designs to the naively constructed designs using the accepted criteria. The focus is on three problems: the effect of trends on designs, self-robustness of a design with respect to parameter estimates and the inappropriate use of a criterion developed from asymptotic results in small samples. The effect of trends has only been studied within a restrictive choice of models, with the aim of orthogonalizing the fixed effect parameters to the trend parameters. We propose a new criterion which allows the trend to affect the variance and for the response to have a non-normal distribution, as well as having other advantageous properties. We also propose a criterion to evaluate the self-robustness of a design, i.e. robust for the assumed parameter values, which uses the information matrix to generate the possibilities for the parameter estimate and is therefore dependent on the design. This is a dynamic approach and allows for an intrinsic assessment of the performance of a design. The inappropriate use of criteria developed from asymptotic results in small samples is our final design problem of interest. We propose using a corrected criterion, adjusting for the use of an asymptotic result in a small sample. The correction takes into account the use of the estimates of variance components and combines the information for the fixed effects and the variance components in a new way other than simply taking the product of the information matrices.
Subjects/Keywords: 510; Design of Experiments; Robustness; Variance Components; Small Samples; Mixed Models
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APA ·
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Manager
APA (6th Edition):
Sammut-Powell, C. (2018). Improved design criteria robust for complex variance structures. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/improved-design-criteria-robust-for-complex-variance-structures(dd96c6d8-cb38-4c26-a125-fb24c50c77e3).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771454
Chicago Manual of Style (16th Edition):
Sammut-Powell, Camilla. “Improved design criteria robust for complex variance structures.” 2018. Doctoral Dissertation, University of Manchester. Accessed March 04, 2021.
https://www.research.manchester.ac.uk/portal/en/theses/improved-design-criteria-robust-for-complex-variance-structures(dd96c6d8-cb38-4c26-a125-fb24c50c77e3).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771454.
MLA Handbook (7th Edition):
Sammut-Powell, Camilla. “Improved design criteria robust for complex variance structures.” 2018. Web. 04 Mar 2021.
Vancouver:
Sammut-Powell C. Improved design criteria robust for complex variance structures. [Internet] [Doctoral dissertation]. University of Manchester; 2018. [cited 2021 Mar 04].
Available from: https://www.research.manchester.ac.uk/portal/en/theses/improved-design-criteria-robust-for-complex-variance-structures(dd96c6d8-cb38-4c26-a125-fb24c50c77e3).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771454.
Council of Science Editors:
Sammut-Powell C. Improved design criteria robust for complex variance structures. [Doctoral Dissertation]. University of Manchester; 2018. Available from: https://www.research.manchester.ac.uk/portal/en/theses/improved-design-criteria-robust-for-complex-variance-structures(dd96c6d8-cb38-4c26-a125-fb24c50c77e3).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771454
University of North Texas
30.
Garcia, Andres.
Design and Manufacture of Molding Compounds for High Reliability Microelectronics in Extreme Conditions.
Degree: 2016, University of North Texas
URL: https://digital.library.unt.edu/ark:/67531/metadc955110/
► The widespread use of electronics in more avenues of consumer use is increasing. Applications range from medical instrumentation that directly can affect someone's life, down…
(more)
▼ The widespread use of electronics in more avenues of consumer use is increasing. Applications range from medical instrumentation that directly can affect someone's life, down hole sensors for oil and gas, aerospace, aeronautics, and automotive electronics. The increased power density and harsh environment makes the reliability of the packaging a vital part of the reliability of the device. The increased importance of analog devices in these applications, their high voltage and high temperature resilience is resulting in challenges that have not been dealt with before. In particular packaging where insulative properties are vital use polymer resins modified by ceramic fillers. The distinct dielectric properties of the resin and the filler result in charge storage and release of the polarization currents in the composite that have had unpredictable consequences on reliability. The objective of this effort is therefore to investigate a technique that
can be used to measure the polarization in filled polymer resins and evaluate reliable molding compounds. A valuable approach to measure polarization in polymers where charge release is tied to the glass transition in the polymer is referred to as thermally stimulated depolarization current (TSDC) technique. In this dissertation a new TSDC measurement system was designed and fabricated. The instrument is an assembly of several components that are automated via a LabVIEW program that gives the user flexibility to test different dielectric compounds at high temperatures and high voltage. The temperature control is enabled through the use of dry air convection heating at a very slow rate enabling controlled heating and cooling. Charge trapping and de-trapping processes were investigated in order to obtain information on insulating polymeric composites and how to optimize it. A number of material properties were investigated. First, polarization due to charges on the filer were
investigated using composites containing charged and uncharged particles using quartz and ion exchange montmorillonite silicates in an epoxy matrix. The thermally-activated charge release shows a difference in the composite characteristics and preparation. This difference indicates that the trap levels depend on the de-trapping process and on the chemical nature of the trap site. Using a numerical approach to the release spectra, a model was developed to examine through short time testing, important parameters such as glass transition temperature, residual polarization, depolarization peak, window polarization modeling and activation energy of relaxations. Second the
design of mold compounds that could combine manufacturing (temperature of molding), geometric (thickness of packaging material), composition (amount and size of filler) effects was developed using a novel
design of
experiments approach. The statistical DOE enabled the determination of which causes should be considered
when designing a mold compound that has minimal polarization both as singular variables as well as combined variables. …
Advisors/Committee Members: D'Souza, Nandika Anne, 1967-, Shi, Sheldon Q., Brostow, Witold, 1934-, Reidy, Richard, Shepherd, Nigel, Choi, Tae-Youl, Tuncer, Enis.
Subjects/Keywords: Dielectrics; insulators; polarization; mold compounds; design of experiments
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Open Access Theses and Dissertations