+publisher:"Clemson University" +contributor:("Dr. Todd Schweisinger")

Clemson University

1. Yadav, Yogendra Kumar. A Savonius Wind Turbine with Electric Generator: Model and Test.

Degree: MS, Mechanical Engineering, 2016, Clemson University

URL: https://tigerprints.clemson.edu/all_theses/2428

► The overall goal of this research is to study the performance of Savonius wind tur-bine. Some of the advantages of a Savonius wind turbine include… (more)

▼ The overall goal of this research is to study the performance of Savonius wind tur-bine. Some of the advantages of a Savonius wind turbine include simple construction, good startup characteristics, low noise, and reduced wear. The applications of this type of wind machine include water pumping and small scale electricity generation. In the present re-search, an experimental model of the Savonius wind turbine is studied including the for-mulation of a mathematical model. The mathematic model for the torque acting on the Savonius rotor has been developed and the permanent magnet synchronous generator (PMSG) model has been simulated using the d-q synchronous reference frame theory. In the present research, the mathematic model of the wind turbine system has been simulated in MATLAB/Simulink environment. The model includes the wind turbine model and the permanent magnet synchronous generator (PMSG) model. The wind turbine pa-rameters of the experimental system have been used for the simulation purpose. A 1kW PMSG has been coupled with the wind turbine to study the dynamic performance of the wind turbine system. The system response and performance have been evaluated at 3 dif-ferent wind speeds of 16.9 m/sec, 19.8 m/sec, and 21.9 m/sec corresponding to the wind speeds of the blower used for experimental system. The experimental Savonius wind turbine has been developed to compare the nu-merical and experimental results. The experimental system includes Savonius rotor, PMSG, charge controller and rectifier, current and voltage transducers, frequency to analog converters, electrical load, and a National Instruments Data Acquisition Device (NI DAQ). The current and voltage transducers are used to measure the current and voltage in the system and the outputs are connected to the NI DAQ. The frequency to analog converters are used to measure the rpm of the rotor and the anemometer. The charge controller is meant for battery charging applications of the system. The numerical and experimental results have been obtained at three different wind speeds (16.9 m/sec, 19.8 m/sec, and 21.9 m/sec). The maximum value of the electric power generated is 2.7 Watts at a wind speed of 21.9 m/sec. Comparison of experimental and numerical results at the wind speed of 21.9 m/sec shows there is an approximate difference of 16%, 11%, 61% and 4% for the angular velocity, voltage, current, and electrical power generated, respectively. The difference in the values may be attributed to the fact that the mathematical model does not include the three-dimensional (3D) fluid effects and environ-mental factors. Advisors/Committee Members: Dr. John R. Wagner, Committee Chair, Dr. Todd Schweisinger, Committee Member, Dr. Yue Wang, Committee Member.

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APA (6^th Edition):

Yadav, Y. K. (2016). A Savonius Wind Turbine with Electric Generator: Model and Test. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/2428

Chicago Manual of Style (16^th Edition):

Yadav, Yogendra Kumar. “A Savonius Wind Turbine with Electric Generator: Model and Test.” 2016. Masters Thesis, Clemson University. Accessed January 21, 2021. https://tigerprints.clemson.edu/all_theses/2428.

MLA Handbook (7^th Edition):

Yadav, Yogendra Kumar. “A Savonius Wind Turbine with Electric Generator: Model and Test.” 2016. Web. 21 Jan 2021.

Vancouver:

Yadav YK. A Savonius Wind Turbine with Electric Generator: Model and Test. [Internet] [Masters thesis]. Clemson University; 2016. [cited 2021 Jan 21]. Available from: https://tigerprints.clemson.edu/all_theses/2428.

Council of Science Editors:

Yadav YK. A Savonius Wind Turbine with Electric Generator: Model and Test. [Masters Thesis]. Clemson University; 2016. Available from: https://tigerprints.clemson.edu/all_theses/2428

Clemson University

2. Tao, Xinran (William). Design, Modeling and Control of a Thermal Management System for Hybrid Electric Vehicles.

Degree: PhD, Mechanical Engineering, 2016, Clemson University

URL: https://tigerprints.clemson.edu/all_dissertations/1631

► Hybrid electric vehicle (HEV) technology has evolved in the last two decades to become economically feasible for mass produced automobiles. With the integration of a… (more)

▼ Hybrid electric vehicle (HEV) technology has evolved in the last two decades to become economically feasible for mass produced automobiles. With the integration of a lithium battery pack and electric motors, HEVs offer a significantly higher fuel efficiency than traditional vehicles that are driven solely by an internal combustion engine. However, the additional HEV components also introduce new challenges for the powertrain thermal management system design. In addition to the common internal combustion engine, the battery pack, the generator(s), as well as the electric motor(s) are now widely applied in the HEVs and have become new heat sources and they also require proper thermal management. Conventional cooling systems have been typically equipped with a belt driven water pump and radiator fan, as well as other mechanical actuators such as the thermostat valve. The operation of these components is generally determined by the engine speed. This open-loop cooling strategy has a low efficiency and suffers the risk of over-cooling the coolant and components within the system. In advanced thermal management systems, the mechanical elements are upgraded by computer controlled actuators including a servo-motor driven pump, variable speed fans, a smart thermostat, and an electric motor driven compressor. These electrified actuators offer the opportunity to improve temperature tracking and reduce parasitic losses. This dissertation investigates a HEV powertrain thermal management system featuring computer controlled cooling system actuators. A suite of mathematical models have been created to describe the thermal behaviour of the HEV powertrain components. Model based controllers were developed for the vehicle's cooling systems including the battery pack, electric motors, and internal combustion engine. Optimal control theory has been applied to determine the ideal battery cooling air temperature and the desired heat removal rate on e-motor cooling surface. A model predictive controller(MPC) was developed to regulate the refrigerant compressor and track the battery cooling air temperature. A series of Lyapunov-based nonlinear controllers have been implemented to regulate the coolant pumps and radiator fans in the cooling systems for the engine and e-motors. Representative numerical results are presented and discussed. Overall, the proposed control strategies have demonstrated the effectiveness in improving both the temperature tracking performance and the cooling system power consumption reduction. The peak temperature error in the selected A123 battery core can be tracked within 0.25 C of the target; a 50% reduction of the vapor compression system energy consumption can be obtained by properly designing the cooling air flow structure. Similarly, the cooling system of HEV electric motors shows that the machine internal peak temperature can be tracked to the target value with a maximum error of 3.9 C and an average error of 0.13 C. A 70% to 81% cooling system energy consumption reduction can be… Advisors/Committee Members: Dr. John R. Wagner, Committee Chair, Dr. Richard S. Miller, Dr. Todd Schweisinger, Dr. Ardalan Vahidi.

Subjects/Keywords: Battery; Controller; Hybrid Electric Vehicle; Thermal Management

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APA (6^th Edition):

Tao, X. (. (2016). Design, Modeling and Control of a Thermal Management System for Hybrid Electric Vehicles. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1631

Chicago Manual of Style (16^th Edition):

Tao, Xinran (William). “Design, Modeling and Control of a Thermal Management System for Hybrid Electric Vehicles.” 2016. Doctoral Dissertation, Clemson University. Accessed January 21, 2021. https://tigerprints.clemson.edu/all_dissertations/1631.

MLA Handbook (7^th Edition):

Tao, Xinran (William). “Design, Modeling and Control of a Thermal Management System for Hybrid Electric Vehicles.” 2016. Web. 21 Jan 2021.

Vancouver:

Tao X(. Design, Modeling and Control of a Thermal Management System for Hybrid Electric Vehicles. [Internet] [Doctoral dissertation]. Clemson University; 2016. [cited 2021 Jan 21]. Available from: https://tigerprints.clemson.edu/all_dissertations/1631.

Council of Science Editors:

Tao X(. Design, Modeling and Control of a Thermal Management System for Hybrid Electric Vehicles. [Doctoral Dissertation]. Clemson University; 2016. Available from: https://tigerprints.clemson.edu/all_dissertations/1631

Clemson University

3. Ganesh, Sneha. Design and Analysis of a Mechanical Driveline with Generator for an Atmospheric Energy Harvester.

Degree: MS, Mechanical Engineering, 2017, Clemson University

URL: https://tigerprints.clemson.edu/all_theses/2794

► The advent of renewable energy as a primary power source for microelectronic devices has motivated research within the energy harvesting community over the past decade.… (more)

▼ The advent of renewable energy as a primary power source for microelectronic devices has motivated research within the energy harvesting community over the past decade. Compact, self-contained, portable energy harvesters can be applied to wireless sensor networks, Internet of Things (IoT) smart appliances, and a multitude of standalone equipment; replacing batteries and improving the operational life of such systems. Atmospheric changes influenced by cyclical temporal variations offer an abundance of harvestable thermal energy. However, the low conversion efficiency of a common thermoelectric device does not tend to be practical for microcircuit operations. One solution may lie in a novel electromechanical power transformer integrated with a thermodynamic based phase change material to create a temperature/pressure energy harvester. The performance of the proposed harvester will be investigated using both numerical and experimental techniques to offer insight into its functionality and power generation capabilities. The atmospheric energy harvester consists of a ethyl chloride filled mechanical bellows attached to an end plate and constrained by a stiff spring and four guide rails that allow translational motion. The electromechanical power transformer consists of a compound gear train driven by the bellows end plate, a ratchet-controlled coil spring to store energy, and a DC micro generator. Nonlinear mathematical models have been developed for this multi-domain dynamic system using fundamental engineering principles. The initial analyses predicted 9.6 mW electric power generation over a 24 hour period for Â±1Â°C temperature variations about a nominal 22Â°C temperature. Transfer functions were identified from the lumped parameter models and the transient behavior of the coupled thermal-electromechanical system has been studied. A prototype experimental system was fabricated and laboratory tested to study the overall performance and validate the mathematical models for the integrated energy harvester system. The experimental results agree with the numerical analyses in behavioral characteristics. Further, the power generation capacity of 30 mW for a representative electrical resistance load and emulated rack input which correspond to 50 cyclic bidirectional temperature variations (~175 hours of field operation) validated the simulation models. This research study provides insight into the challenges of designing an electromechanical power transformer to complement an atmospheric energy harvester system. The mathematical models estimated the behavior and performance of the integrated harvester system and establishes a foundation for future optimization studies. The opportunity to power microelectronic devices in the milliwatt range for burst electric operation or with the use of supercapacitors/batteries enables global remote operation of smart appliances. This system can assist in reducing/eliminating the need for batteries and improving the operational life of a variety of autonomous equipment. Future… Advisors/Committee Members: Dr. John Wagner, Committee Chair, Dr. Yue (Sophie) Wang, Dr. Todd Schweisinger.

Subjects/Keywords: atmospheric variations; dynamic modeling; energy harvesting; energy storage; transfer function design

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APA (6^th Edition):

Ganesh, S. (2017). Design and Analysis of a Mechanical Driveline with Generator for an Atmospheric Energy Harvester. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/2794

Chicago Manual of Style (16^th Edition):

Ganesh, Sneha. “Design and Analysis of a Mechanical Driveline with Generator for an Atmospheric Energy Harvester.” 2017. Masters Thesis, Clemson University. Accessed January 21, 2021. https://tigerprints.clemson.edu/all_theses/2794.

MLA Handbook (7^th Edition):

Ganesh, Sneha. “Design and Analysis of a Mechanical Driveline with Generator for an Atmospheric Energy Harvester.” 2017. Web. 21 Jan 2021.

Vancouver:

Ganesh S. Design and Analysis of a Mechanical Driveline with Generator for an Atmospheric Energy Harvester. [Internet] [Masters thesis]. Clemson University; 2017. [cited 2021 Jan 21]. Available from: https://tigerprints.clemson.edu/all_theses/2794.

Council of Science Editors:

Ganesh S. Design and Analysis of a Mechanical Driveline with Generator for an Atmospheric Energy Harvester. [Masters Thesis]. Clemson University; 2017. Available from: https://tigerprints.clemson.edu/all_theses/2794

Clemson University

4. Wang, Tianwei (Thomas). Investigation of Advanced Engine Cooling Systems - Optimization and Nonlinear Control.

Degree: PhD, Mechanical Engineering, 2016, Clemson University

URL: https://tigerprints.clemson.edu/all_dissertations/1647

► Advanced automotive engine cooling systems can positively impact the performance, fuel economy, and reliability of internal combustion engines. A smart engine cooling system typically features… (more)

▼ Advanced automotive engine cooling systems can positively impact the performance, fuel economy, and reliability of internal combustion engines. A smart engine cooling system typically features multiple real time computer controlled actuators: a three way linear smart valve, a variable speed coolant pump, and electric radiator fan(s). In this dissertation, several innovative comprehensive nonlinear control and optimization operation strategies for the next generation smart cooling application will be analyzed. First, the optimal control has been investigated to minimize the electric energy usage of radiator fan matrix. A detailed mathematical model of the radiator fan(s) matrix operation and the forced convection heat transfer process was developed to establish a mixed integer nonlinear programming problem. An interior points approach was introduced to solve the energy consumption minimization problem. A series of laboratory tests have been conducted with different fan configurations and rotational shaft speed combinations, with the objective to cool a thermal loaded engine. Both the mathematical approach and the laboratory test results demonstrated the effectiveness of similar control strategies. Based on the tests data and mathematical analysis, an optimization control strategy reduced the fan matrix power consumption by up to 67%. Second, a series of experimental laboratory tests were implemented to investigate the contributions of each electro-mechanical device in automotive thermal management system. The test results established a basis for several key operating conclusions. The smart valve and variable speed pump impacted the engine temperature by adjusting the heat transfer rate between the engine and the radiator through coolant redirection and/or coolant flow rate. On the other hand, the radiator fan(s) operation affects the engine's temperature by modifying the heat rejection rate of the radiator which can influence the entire cooling system. In addition, the smart valve's operation changes the engine's temperature magnitude the greatest amount followed by the radiator fan(s) and the coolant pump. Furthermore, from a power consumption aspect, the radiator fan(s) consumes the most engine power in comparison to the two other actuators. Third, a Lyapunov based nonlinear control strategy for the radiator fan matrix was studied to accommodate transient engine temperature tracking at heavy heat load. A reduced order mathematical model established a basis for the closed-loop real time feedback system. Representative numerical and experimental tests demonstrated that the advanced control strategy can regulate the engine temperature tracking error within 0.12Â°C and compensate the unknown heat load. The nonlinear controller provided superior performance in terms of power consumption and temperature tracking as evident by the reduced magnitude when compared to a classical proportional integral with lookup table based controller and a bang bang controller. Fourth, a nonlinear adaptive… Advisors/Committee Members: Dr. John Wagner, Committee Chair, Dr. Georges Fadel, Dr. Xiangchun Xuan, Dr. Todd Schweisinger.

Subjects/Keywords: Energy Conservation; Experimental Test; Nonlinear Control; Optimization Control; Powertrain Cooling System; Thermal Management

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Wang, T. (. (2016). Investigation of Advanced Engine Cooling Systems - Optimization and Nonlinear Control. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1647

Chicago Manual of Style (16^th Edition):

Wang, Tianwei (Thomas). “Investigation of Advanced Engine Cooling Systems - Optimization and Nonlinear Control.” 2016. Doctoral Dissertation, Clemson University. Accessed January 21, 2021. https://tigerprints.clemson.edu/all_dissertations/1647.

MLA Handbook (7^th Edition):

Wang, Tianwei (Thomas). “Investigation of Advanced Engine Cooling Systems - Optimization and Nonlinear Control.” 2016. Web. 21 Jan 2021.

Vancouver:

Wang T(. Investigation of Advanced Engine Cooling Systems - Optimization and Nonlinear Control. [Internet] [Doctoral dissertation]. Clemson University; 2016. [cited 2021 Jan 21]. Available from: https://tigerprints.clemson.edu/all_dissertations/1647.

Council of Science Editors:

Wang T(. Investigation of Advanced Engine Cooling Systems - Optimization and Nonlinear Control. [Doctoral Dissertation]. Clemson University; 2016. Available from: https://tigerprints.clemson.edu/all_dissertations/1647

Clemson University

5. McGaughy, Mitchell. Design and Analysis of a Single Stage, Traveling Wave, Thermoacoustic Engine for Bi-Directional Turbine Generator Integration.

Degree: MS, Mechanical Engineering, 2018, Clemson University

URL: https://tigerprints.clemson.edu/all_theses/2962

► The demand for clean, sustainable, and cost-effective energy continues to increase due to global population growth and corresponding use of consumer products. Thermoacoustic technology… (more)

Subjects/Keywords: Mechanical Engineering

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APA (6^th Edition):

McGaughy, M. (2018). Design and Analysis of a Single Stage, Traveling Wave, Thermoacoustic Engine for Bi-Directional Turbine Generator Integration. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/2962

Chicago Manual of Style (16^th Edition):

McGaughy, Mitchell. “Design and Analysis of a Single Stage, Traveling Wave, Thermoacoustic Engine for Bi-Directional Turbine Generator Integration.” 2018. Masters Thesis, Clemson University. Accessed January 21, 2021. https://tigerprints.clemson.edu/all_theses/2962.

MLA Handbook (7^th Edition):

McGaughy, Mitchell. “Design and Analysis of a Single Stage, Traveling Wave, Thermoacoustic Engine for Bi-Directional Turbine Generator Integration.” 2018. Web. 21 Jan 2021.

Vancouver:

McGaughy M. Design and Analysis of a Single Stage, Traveling Wave, Thermoacoustic Engine for Bi-Directional Turbine Generator Integration. [Internet] [Masters thesis]. Clemson University; 2018. [cited 2021 Jan 21]. Available from: https://tigerprints.clemson.edu/all_theses/2962.

Council of Science Editors:

McGaughy M. Design and Analysis of a Single Stage, Traveling Wave, Thermoacoustic Engine for Bi-Directional Turbine Generator Integration. [Masters Thesis]. Clemson University; 2018. Available from: https://tigerprints.clemson.edu/all_theses/2962

6. Freeman, Paul. Autonomous Control and Automotive Simulator Based Driver Training Methodologies for Vehicle Run-Off-Road and Recovery Events.

Degree: PhD, Mechanical Engineering, 2014, Clemson University

URL: https://tigerprints.clemson.edu/all_dissertations/1441

► Traffic fatalities and injuries continue to demand the attention of researchers and governments across the world as they remain significant factors in public health… (more)

▼ Traffic fatalities and injuries continue to demand the attention of researchers and governments across the world as they remain significant factors in public health and safety. Enhanced legislature along with vehicle and roadway technology has helped to reduce the impact of traffic crashes in many scenarios. However, one specifically troublesome area of traffic safety, which persists, is run-off-road (ROR) where a vehicle's wheels leave the paved portion of the roadway and begin traveling on the shoulder or side of the road. Large percentages of fatal and injury traffic crashes are attributable to ROR. One of the most critical reasons why ROR scenarios quickly evolve into serious crashes is poor driver performance. Drivers are unprepared to safely handle the situation and often execute dangerous maneuvers, such as overcorrection or sudden braking, which can lead to devastating results. Currently implemented ROR countermeasures such as roadway infrastructure modifications and vehicle safety systems have helped to mitigate some ROR events but remain limited in their approach. A complete solution must directly address the primary factor contributing to ROR crashes which is driver performance errors. Four vehicle safety control systems, based on sliding control, linear quadratic, state flow, and classical theories, were developed to autonomously recover a vehicle from ROR without driver intervention. The vehicle response was simulated for each controller under a variety of common road departure and return scenarios. The results showed that the linear quadratic and sliding control methodologies outperformed the other controllers in terms of overall stability. However, the linear quadratic controller was the only design to safely recover the vehicle in all of the simulation conditions examined. On average, it performed the recovery almost 50 percent faster and with 40 percent less lateral error than the sliding controller at the expense of higher yaw rates. The performance of the linear quadratic and sliding algorithms was investigated further to include more complex vehicle modeling, state estimation techniques, and sensor measurement noise. The two controllers were simulated amongst a variety of ROR conditions where typical driver performance was inadequate to safely operate the vehicle. The sliding controller recovered the fastest within the nominal conditions but exhibited large variability in performance amongst the more extreme ROR scenarios. Despite some small sacrifice in lateral error and yaw rate, the linear quadratic controller demonstrated a higher level of consistency and stability amongst the various conditions examined. Overall, the linear quadratic controller recovered the vehicle 25 percent faster than the sliding controller while using 70 percent less steering, which combined with its robust performance, indicates its high potential as an autonomous ROR countermeasure. The present status of autonomous vehicle control research for ROR remains premature for commercial implementation; in the meantime,… Advisors/Committee Members: Dr. John Wagner, Dr. Timothy Burg, Dr. Todd Schweisinger, Dr. Ardalan Vahidi.

Subjects/Keywords: automotive safety; autonomous control; driving simulator; run-off-road; vehicle dynamics; Mechanical Engineering

…throughout my time at Clemson. I would also like to thank Dr. Todd Schweisinger for his…

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APA (6^th Edition):

Freeman, P. (2014). Autonomous Control and Automotive Simulator Based Driver Training Methodologies for Vehicle Run-Off-Road and Recovery Events. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1441

Chicago Manual of Style (16^th Edition):

Freeman, Paul. “Autonomous Control and Automotive Simulator Based Driver Training Methodologies for Vehicle Run-Off-Road and Recovery Events.” 2014. Doctoral Dissertation, Clemson University. Accessed January 21, 2021. https://tigerprints.clemson.edu/all_dissertations/1441.

MLA Handbook (7^th Edition):

Freeman, Paul. “Autonomous Control and Automotive Simulator Based Driver Training Methodologies for Vehicle Run-Off-Road and Recovery Events.” 2014. Web. 21 Jan 2021.

Vancouver:

Freeman P. Autonomous Control and Automotive Simulator Based Driver Training Methodologies for Vehicle Run-Off-Road and Recovery Events. [Internet] [Doctoral dissertation]. Clemson University; 2014. [cited 2021 Jan 21]. Available from: https://tigerprints.clemson.edu/all_dissertations/1441.

Council of Science Editors:

Freeman P. Autonomous Control and Automotive Simulator Based Driver Training Methodologies for Vehicle Run-Off-Road and Recovery Events. [Doctoral Dissertation]. Clemson University; 2014. Available from: https://tigerprints.clemson.edu/all_dissertations/1441

7. Anderson, Rachel Kristen. Student Development as Cross-Disciplinary Team Members: Real-Time Observations of Student Experiences During a Team Project.

Degree: PhD, Engineering and Science Education, 2017, Clemson University

URL: https://tigerprints.clemson.edu/all_dissertations/1875

► Recent graduates entering the professional field must draw on their content knowledge as well as their collaboration skills to address professional projects. These projects increasingly… (more)

▼ Recent graduates entering the professional field must draw on their content knowledge as well as their collaboration skills to address professional projects. These projects increasingly call for diverse skill sets from multiple disciplines and personal backgrounds and interests thereby requiring professionals to engage with cross-disciplinary differences. In order for undergraduate students to be prepared for teamwork as professionals, they need to experience and practice collaboration as students. However, undergraduate education typically incorporates mono-disciplinary student experiences that do not scaffold an understanding of or appreciation for differences in viewpoints and training of individuals in technical and non-technical fields. Incorporating effective collaboration experiences into the curriculum requires a deeper understanding of how students approach teamwork and develop as effective team members during a project. My research uncovers the experiences of students during a cross-disciplinary project through a real-time data collection approach. I became a participant observer on a single cross-disciplinary student team and observed team meetings, interviewed team members, and collected written documents from students to elicit thick, rich descriptions of their development as team members during the project. I operationalize an existing framework for cross-disciplinary professional practice as potential stages of development students might experience during a project. Through the lens of this existing model, I identify the student trajectories through these development stages as well as the events and social structures that sometimes impede student development. This dissertation uses a multi-manuscript format to discuss my contribution to the literature in four unique ways. â€¢ I expose the â€œmessinessâ€ of qualitative research by sharing an audit trail of my research experience. â€¢ I expand the current understanding of student cross-disciplinary teamwork by presenting four student cases showing a range of salient student roles and how those roles developed during the project. â€¢ I provide a detailed account of how a sub-team of three engineering students navigated their roles and engaged with cross-disciplinary difference during a five-day intensive project. â€¢ I also examine social norms and power structures in higher education to uncover how they influence student and faculty actions during a project and their subsequent impact on student development. Together, these four manuscripts expand the current understanding of student cross-disciplinary collaboration and hold implications for researchers, practitioners, policy makers, and even students. Advisors/Committee Members: Dr. Julie Martin, Committee Chair, Dr. Karen High, Dr. Leidy Klotz, Dr. Todd Schweisinger, Dr. Barbara Speziale.

Subjects/Keywords: Cross-Disciplinary; Teamwork; Undergraduate Research

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APA (6^th Edition):

Anderson, R. K. (2017). Student Development as Cross-Disciplinary Team Members: Real-Time Observations of Student Experiences During a Team Project. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1875

Chicago Manual of Style (16^th Edition):

Anderson, Rachel Kristen. “Student Development as Cross-Disciplinary Team Members: Real-Time Observations of Student Experiences During a Team Project.” 2017. Doctoral Dissertation, Clemson University. Accessed January 21, 2021. https://tigerprints.clemson.edu/all_dissertations/1875.

MLA Handbook (7^th Edition):

Anderson, Rachel Kristen. “Student Development as Cross-Disciplinary Team Members: Real-Time Observations of Student Experiences During a Team Project.” 2017. Web. 21 Jan 2021.

Vancouver:

Anderson RK. Student Development as Cross-Disciplinary Team Members: Real-Time Observations of Student Experiences During a Team Project. [Internet] [Doctoral dissertation]. Clemson University; 2017. [cited 2021 Jan 21]. Available from: https://tigerprints.clemson.edu/all_dissertations/1875.

Council of Science Editors:

Anderson RK. Student Development as Cross-Disciplinary Team Members: Real-Time Observations of Student Experiences During a Team Project. [Doctoral Dissertation]. Clemson University; 2017. Available from: https://tigerprints.clemson.edu/all_dissertations/1875

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Open Access Theses and Dissertations