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You searched for +publisher:"University of South Carolina" +contributor:("Ramy Harik"). Showing records 1 – 12 of 12 total matches.

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University of South Carolina

1. Halbritter, Joshua A. Automation of Process Planning for Automated Fiber Placement.

Degree: MSin Aerospace Engineering, Mechanical Engineering, 2020, University of South Carolina

  Process planning represents an essential stage of the Automated Fiber Placement (AFP) workflow. It develops useful and efficient machine processes based upon the working… (more)

Subjects/Keywords: Aerospace Engineering; Automated Fiber Placement; Carbon Fiber Composite; Fiber Defects; Process Planning

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APA (6th Edition):

Halbritter, J. A. (2020). Automation of Process Planning for Automated Fiber Placement. (Masters Thesis). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/5953

Chicago Manual of Style (16th Edition):

Halbritter, Joshua A. “Automation of Process Planning for Automated Fiber Placement.” 2020. Masters Thesis, University of South Carolina. Accessed April 13, 2021. https://scholarcommons.sc.edu/etd/5953.

MLA Handbook (7th Edition):

Halbritter, Joshua A. “Automation of Process Planning for Automated Fiber Placement.” 2020. Web. 13 Apr 2021.

Vancouver:

Halbritter JA. Automation of Process Planning for Automated Fiber Placement. [Internet] [Masters thesis]. University of South Carolina; 2020. [cited 2021 Apr 13]. Available from: https://scholarcommons.sc.edu/etd/5953.

Council of Science Editors:

Halbritter JA. Automation of Process Planning for Automated Fiber Placement. [Masters Thesis]. University of South Carolina; 2020. Available from: https://scholarcommons.sc.edu/etd/5953


University of South Carolina

2. Saidy, Clint. Development Of A Supplier’s Delivery Time And Delivered Quality Performance Index And Assessment Of Alternative Decisions Regarding Underperforming Suppliers For The Aerospace Industry.

Degree: MS, Mechanical Engineering, 2018, University of South Carolina

  This study investigates current practices of supplier’s delivery assessment so that a comprehensive index and a cost function model could be properly developed. Following… (more)

Subjects/Keywords: Aerospace Engineering; Engineering; Development; Supplier’s Delivery Time; Delivered Quality; Performance Index; Assessment; Alternative Decisions; Underperforming Suppliers; Aerospace Industry

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APA (6th Edition):

Saidy, C. (2018). Development Of A Supplier’s Delivery Time And Delivered Quality Performance Index And Assessment Of Alternative Decisions Regarding Underperforming Suppliers For The Aerospace Industry. (Masters Thesis). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/4807

Chicago Manual of Style (16th Edition):

Saidy, Clint. “Development Of A Supplier’s Delivery Time And Delivered Quality Performance Index And Assessment Of Alternative Decisions Regarding Underperforming Suppliers For The Aerospace Industry.” 2018. Masters Thesis, University of South Carolina. Accessed April 13, 2021. https://scholarcommons.sc.edu/etd/4807.

MLA Handbook (7th Edition):

Saidy, Clint. “Development Of A Supplier’s Delivery Time And Delivered Quality Performance Index And Assessment Of Alternative Decisions Regarding Underperforming Suppliers For The Aerospace Industry.” 2018. Web. 13 Apr 2021.

Vancouver:

Saidy C. Development Of A Supplier’s Delivery Time And Delivered Quality Performance Index And Assessment Of Alternative Decisions Regarding Underperforming Suppliers For The Aerospace Industry. [Internet] [Masters thesis]. University of South Carolina; 2018. [cited 2021 Apr 13]. Available from: https://scholarcommons.sc.edu/etd/4807.

Council of Science Editors:

Saidy C. Development Of A Supplier’s Delivery Time And Delivered Quality Performance Index And Assessment Of Alternative Decisions Regarding Underperforming Suppliers For The Aerospace Industry. [Masters Thesis]. University of South Carolina; 2018. Available from: https://scholarcommons.sc.edu/etd/4807


University of South Carolina

3. Albazzan, Mazen. Efficient Design Optimization Methodology For Nonconventional Laminated Thin-Walled Composite Structures.

Degree: MS, 2018, University of South Carolina

  Structural designers seek the best possible design of a structure that optimally meets the requirements of a specific application. The measure of the quality… (more)

Subjects/Keywords: Aerospace Engineering; Efficient Design; Nonconventional; Laminated; Thin-Walled; Composite Structures

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APA (6th Edition):

Albazzan, M. (2018). Efficient Design Optimization Methodology For Nonconventional Laminated Thin-Walled Composite Structures. (Masters Thesis). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/4929

Chicago Manual of Style (16th Edition):

Albazzan, Mazen. “Efficient Design Optimization Methodology For Nonconventional Laminated Thin-Walled Composite Structures.” 2018. Masters Thesis, University of South Carolina. Accessed April 13, 2021. https://scholarcommons.sc.edu/etd/4929.

MLA Handbook (7th Edition):

Albazzan, Mazen. “Efficient Design Optimization Methodology For Nonconventional Laminated Thin-Walled Composite Structures.” 2018. Web. 13 Apr 2021.

Vancouver:

Albazzan M. Efficient Design Optimization Methodology For Nonconventional Laminated Thin-Walled Composite Structures. [Internet] [Masters thesis]. University of South Carolina; 2018. [cited 2021 Apr 13]. Available from: https://scholarcommons.sc.edu/etd/4929.

Council of Science Editors:

Albazzan M. Efficient Design Optimization Methodology For Nonconventional Laminated Thin-Walled Composite Structures. [Masters Thesis]. University of South Carolina; 2018. Available from: https://scholarcommons.sc.edu/etd/4929


University of South Carolina

4. Shi, Yang. Manufacturing Feature Recognition With 2D Convolutional Neural Networks.

Degree: MS, Mechanical Engineering, 2018, University of South Carolina

  Feature recognition is a critical sub-discipline of CAD/CAM that focuses on the design and implementation of algorithms for automated identification of manufacturing features. The… (more)

Subjects/Keywords: Mechanical Engineering; Manufacturing; Feature Recognition; D Convolutional; Neural Networks

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APA (6th Edition):

Shi, Y. (2018). Manufacturing Feature Recognition With 2D Convolutional Neural Networks. (Masters Thesis). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/5100

Chicago Manual of Style (16th Edition):

Shi, Yang. “Manufacturing Feature Recognition With 2D Convolutional Neural Networks.” 2018. Masters Thesis, University of South Carolina. Accessed April 13, 2021. https://scholarcommons.sc.edu/etd/5100.

MLA Handbook (7th Edition):

Shi, Yang. “Manufacturing Feature Recognition With 2D Convolutional Neural Networks.” 2018. Web. 13 Apr 2021.

Vancouver:

Shi Y. Manufacturing Feature Recognition With 2D Convolutional Neural Networks. [Internet] [Masters thesis]. University of South Carolina; 2018. [cited 2021 Apr 13]. Available from: https://scholarcommons.sc.edu/etd/5100.

Council of Science Editors:

Shi Y. Manufacturing Feature Recognition With 2D Convolutional Neural Networks. [Masters Thesis]. University of South Carolina; 2018. Available from: https://scholarcommons.sc.edu/etd/5100


University of South Carolina

5. Sarikaya, Ibrahim. Plasma Surface Functionalization of AFP Manufactured Composites for Improved Adhesive Bond Performance.

Degree: MSin Mechanical Engineering, Mechanical Engineering, 2019, University of South Carolina

  High-performance composite structures not only require a reliable fabrication process when creating primary structures, but also a high fidelity and repeatable bonding process for… (more)

Subjects/Keywords: Engineering; Mechanical Engineering

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APA (6th Edition):

Sarikaya, I. (2019). Plasma Surface Functionalization of AFP Manufactured Composites for Improved Adhesive Bond Performance. (Masters Thesis). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/5158

Chicago Manual of Style (16th Edition):

Sarikaya, Ibrahim. “Plasma Surface Functionalization of AFP Manufactured Composites for Improved Adhesive Bond Performance.” 2019. Masters Thesis, University of South Carolina. Accessed April 13, 2021. https://scholarcommons.sc.edu/etd/5158.

MLA Handbook (7th Edition):

Sarikaya, Ibrahim. “Plasma Surface Functionalization of AFP Manufactured Composites for Improved Adhesive Bond Performance.” 2019. Web. 13 Apr 2021.

Vancouver:

Sarikaya I. Plasma Surface Functionalization of AFP Manufactured Composites for Improved Adhesive Bond Performance. [Internet] [Masters thesis]. University of South Carolina; 2019. [cited 2021 Apr 13]. Available from: https://scholarcommons.sc.edu/etd/5158.

Council of Science Editors:

Sarikaya I. Plasma Surface Functionalization of AFP Manufactured Composites for Improved Adhesive Bond Performance. [Masters Thesis]. University of South Carolina; 2019. Available from: https://scholarcommons.sc.edu/etd/5158


University of South Carolina

6. Baz Radwan, Anis. Experimental Analysis of the Automated Fiber Placement Manufacturing Parameters for High and Low Tack Prepreg Material.

Degree: MSin Aerospace Engineering, Computer Science and Engineering, 2019, University of South Carolina

  Automated Fiber Placement (AFP) is a flexible but complex manufacturing technique which is used to layup carbon fiber tows into flat or curved structures.… (more)

Subjects/Keywords: Aerospace Engineering; Engineering; Automated Fiber Placement; carbon fiber layup; high tack thermoset prepreg; low tack thermoset prepreg

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APA (6th Edition):

Baz Radwan, A. (2019). Experimental Analysis of the Automated Fiber Placement Manufacturing Parameters for High and Low Tack Prepreg Material. (Masters Thesis). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/5432

Chicago Manual of Style (16th Edition):

Baz Radwan, Anis. “Experimental Analysis of the Automated Fiber Placement Manufacturing Parameters for High and Low Tack Prepreg Material.” 2019. Masters Thesis, University of South Carolina. Accessed April 13, 2021. https://scholarcommons.sc.edu/etd/5432.

MLA Handbook (7th Edition):

Baz Radwan, Anis. “Experimental Analysis of the Automated Fiber Placement Manufacturing Parameters for High and Low Tack Prepreg Material.” 2019. Web. 13 Apr 2021.

Vancouver:

Baz Radwan A. Experimental Analysis of the Automated Fiber Placement Manufacturing Parameters for High and Low Tack Prepreg Material. [Internet] [Masters thesis]. University of South Carolina; 2019. [cited 2021 Apr 13]. Available from: https://scholarcommons.sc.edu/etd/5432.

Council of Science Editors:

Baz Radwan A. Experimental Analysis of the Automated Fiber Placement Manufacturing Parameters for High and Low Tack Prepreg Material. [Masters Thesis]. University of South Carolina; 2019. Available from: https://scholarcommons.sc.edu/etd/5432


University of South Carolina

7. Sacco, Christopher. Machine Learning Methods for Rapid Inspection of Automated Fiber Placement Manufactured Composite Structures.

Degree: MSin Aerospace Engineering, Computer Science and Engineering, 2019, University of South Carolina

  The advanced manufacturing capabilities provided through the automated fiber placement (AFP) system has allowed for faster layup time and more consistent production across a… (more)

Subjects/Keywords: Aerospace Engineering; Engineering; automated fiber placement; layup time; consistent production; composite structures; manufacturing defects; automated inspection

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APA (6th Edition):

Sacco, C. (2019). Machine Learning Methods for Rapid Inspection of Automated Fiber Placement Manufactured Composite Structures. (Masters Thesis). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/5475

Chicago Manual of Style (16th Edition):

Sacco, Christopher. “Machine Learning Methods for Rapid Inspection of Automated Fiber Placement Manufactured Composite Structures.” 2019. Masters Thesis, University of South Carolina. Accessed April 13, 2021. https://scholarcommons.sc.edu/etd/5475.

MLA Handbook (7th Edition):

Sacco, Christopher. “Machine Learning Methods for Rapid Inspection of Automated Fiber Placement Manufactured Composite Structures.” 2019. Web. 13 Apr 2021.

Vancouver:

Sacco C. Machine Learning Methods for Rapid Inspection of Automated Fiber Placement Manufactured Composite Structures. [Internet] [Masters thesis]. University of South Carolina; 2019. [cited 2021 Apr 13]. Available from: https://scholarcommons.sc.edu/etd/5475.

Council of Science Editors:

Sacco C. Machine Learning Methods for Rapid Inspection of Automated Fiber Placement Manufactured Composite Structures. [Masters Thesis]. University of South Carolina; 2019. Available from: https://scholarcommons.sc.edu/etd/5475


University of South Carolina

8. Wehbe, Roudy. Tow-Path Characterization for Automated Fiber Placement.

Degree: PhD, Mechanical Engineering, 2020, University of South Carolina

  Automated Fiber Placement (AFP) is a manufacturing process used to fabricate large composite structures for aerospace applications. During the process, the machine head deposits… (more)

Subjects/Keywords: Mechanical Engineering; Automated Fiber Placement; Defects; Geometric Modeling; Physics-Based Modeling; Process Parameters; Wrinkling

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APA (6th Edition):

Wehbe, R. (2020). Tow-Path Characterization for Automated Fiber Placement. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/5899

Chicago Manual of Style (16th Edition):

Wehbe, Roudy. “Tow-Path Characterization for Automated Fiber Placement.” 2020. Doctoral Dissertation, University of South Carolina. Accessed April 13, 2021. https://scholarcommons.sc.edu/etd/5899.

MLA Handbook (7th Edition):

Wehbe, Roudy. “Tow-Path Characterization for Automated Fiber Placement.” 2020. Web. 13 Apr 2021.

Vancouver:

Wehbe R. Tow-Path Characterization for Automated Fiber Placement. [Internet] [Doctoral dissertation]. University of South Carolina; 2020. [cited 2021 Apr 13]. Available from: https://scholarcommons.sc.edu/etd/5899.

Council of Science Editors:

Wehbe R. Tow-Path Characterization for Automated Fiber Placement. [Doctoral Dissertation]. University of South Carolina; 2020. Available from: https://scholarcommons.sc.edu/etd/5899


University of South Carolina

9. Albazzan, Mazen. Efficient Design Optimization Methodology for Manufacturable Variable Stiffness Laminated Composite Structures.

Degree: PhD, Mechanical Engineering, 2020, University of South Carolina

  Because of their superior mechanical and environmental properties compared to traditional metals, fiber-reinforced composite materials have earned a widespread acceptance for different structural applications.… (more)

Subjects/Keywords: Mechanical Engineering; Composite Laminate Design Optimization; Composite Structures; Fiber Steered Laminates; Lamination Parameters; Multi-level Optimization; Variable Stiffness Laminates

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APA (6th Edition):

Albazzan, M. (2020). Efficient Design Optimization Methodology for Manufacturable Variable Stiffness Laminated Composite Structures. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/5731

Chicago Manual of Style (16th Edition):

Albazzan, Mazen. “Efficient Design Optimization Methodology for Manufacturable Variable Stiffness Laminated Composite Structures.” 2020. Doctoral Dissertation, University of South Carolina. Accessed April 13, 2021. https://scholarcommons.sc.edu/etd/5731.

MLA Handbook (7th Edition):

Albazzan, Mazen. “Efficient Design Optimization Methodology for Manufacturable Variable Stiffness Laminated Composite Structures.” 2020. Web. 13 Apr 2021.

Vancouver:

Albazzan M. Efficient Design Optimization Methodology for Manufacturable Variable Stiffness Laminated Composite Structures. [Internet] [Doctoral dissertation]. University of South Carolina; 2020. [cited 2021 Apr 13]. Available from: https://scholarcommons.sc.edu/etd/5731.

Council of Science Editors:

Albazzan M. Efficient Design Optimization Methodology for Manufacturable Variable Stiffness Laminated Composite Structures. [Doctoral Dissertation]. University of South Carolina; 2020. Available from: https://scholarcommons.sc.edu/etd/5731


University of South Carolina

10. Bahamonde Jácome, Luis G. 3D Topology Optimization of Spatially Reinforced Composites.

Degree: PhD, Mechanical Engineering, 2019, University of South Carolina

  Topology optimization is a numerical design tool used to generate structural concepts that present optimal load paths for a given set of functional requirements.… (more)

Subjects/Keywords: Engineering; Mechanical Engineering; 3D topology optimization; spatially reinforced composites; functional generative design; macromechanical model; stable coupling algorithm; scalable optimization algorithm

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APA (6th Edition):

Bahamonde Jácome, L. G. (2019). 3D Topology Optimization of Spatially Reinforced Composites. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/5457

Chicago Manual of Style (16th Edition):

Bahamonde Jácome, Luis G. “3D Topology Optimization of Spatially Reinforced Composites.” 2019. Doctoral Dissertation, University of South Carolina. Accessed April 13, 2021. https://scholarcommons.sc.edu/etd/5457.

MLA Handbook (7th Edition):

Bahamonde Jácome, Luis G. “3D Topology Optimization of Spatially Reinforced Composites.” 2019. Web. 13 Apr 2021.

Vancouver:

Bahamonde Jácome LG. 3D Topology Optimization of Spatially Reinforced Composites. [Internet] [Doctoral dissertation]. University of South Carolina; 2019. [cited 2021 Apr 13]. Available from: https://scholarcommons.sc.edu/etd/5457.

Council of Science Editors:

Bahamonde Jácome LG. 3D Topology Optimization of Spatially Reinforced Composites. [Doctoral Dissertation]. University of South Carolina; 2019. Available from: https://scholarcommons.sc.edu/etd/5457


University of South Carolina

11. Wehbe, Roudy. Modeling Of Tow Wrinkling In Automated Fiber Placement Based On Geometrical Considerations.

Degree: MS, Mechanical Engineering, 2017, University of South Carolina

  Automated manufacturing of fiber reinforced composite structures via numerically controlled hardware yields parts with increased accuracy and repeatability as compared to hand-layup parts. Automated… (more)

Subjects/Keywords: Aerospace Engineering; Engineering; Modeling; Tow Wrinkling; Automated Fiber; Placement; Based on Geometrical Considerations

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APA (6th Edition):

Wehbe, R. (2017). Modeling Of Tow Wrinkling In Automated Fiber Placement Based On Geometrical Considerations. (Masters Thesis). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/4449

Chicago Manual of Style (16th Edition):

Wehbe, Roudy. “Modeling Of Tow Wrinkling In Automated Fiber Placement Based On Geometrical Considerations.” 2017. Masters Thesis, University of South Carolina. Accessed April 13, 2021. https://scholarcommons.sc.edu/etd/4449.

MLA Handbook (7th Edition):

Wehbe, Roudy. “Modeling Of Tow Wrinkling In Automated Fiber Placement Based On Geometrical Considerations.” 2017. Web. 13 Apr 2021.

Vancouver:

Wehbe R. Modeling Of Tow Wrinkling In Automated Fiber Placement Based On Geometrical Considerations. [Internet] [Masters thesis]. University of South Carolina; 2017. [cited 2021 Apr 13]. Available from: https://scholarcommons.sc.edu/etd/4449.

Council of Science Editors:

Wehbe R. Modeling Of Tow Wrinkling In Automated Fiber Placement Based On Geometrical Considerations. [Masters Thesis]. University of South Carolina; 2017. Available from: https://scholarcommons.sc.edu/etd/4449


University of South Carolina

12. Backer, Wout De. Multi-Axis Multi-Material Fused Filament Fabrication with Continuous Fiber Reinforcement.

Degree: PhD, Mechanical Engineering, 2017, University of South Carolina

  Additive Manufacturing (AM) has become a well-recognized method of manufacturing and has steadily become more accessible as it allows designers to prototype ideas, products… (more)

Subjects/Keywords: Engineering; Mechanical Engineering; Multi-Axis; Multi-Material; Fused Filament; Fabrication; Continuous Fiber Reinforcement

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APA (6th Edition):

Backer, W. D. (2017). Multi-Axis Multi-Material Fused Filament Fabrication with Continuous Fiber Reinforcement. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/4397

Chicago Manual of Style (16th Edition):

Backer, Wout De. “Multi-Axis Multi-Material Fused Filament Fabrication with Continuous Fiber Reinforcement.” 2017. Doctoral Dissertation, University of South Carolina. Accessed April 13, 2021. https://scholarcommons.sc.edu/etd/4397.

MLA Handbook (7th Edition):

Backer, Wout De. “Multi-Axis Multi-Material Fused Filament Fabrication with Continuous Fiber Reinforcement.” 2017. Web. 13 Apr 2021.

Vancouver:

Backer WD. Multi-Axis Multi-Material Fused Filament Fabrication with Continuous Fiber Reinforcement. [Internet] [Doctoral dissertation]. University of South Carolina; 2017. [cited 2021 Apr 13]. Available from: https://scholarcommons.sc.edu/etd/4397.

Council of Science Editors:

Backer WD. Multi-Axis Multi-Material Fused Filament Fabrication with Continuous Fiber Reinforcement. [Doctoral Dissertation]. University of South Carolina; 2017. Available from: https://scholarcommons.sc.edu/etd/4397

.