EMERF Liaison with Academia and Students
EMERF Liaison with Academia and Students
To foster communication and collaboration between industry, academia and students, EMERF sponsors an engineering student to attend and present at the MCMA Technical Conference. Students are selected from a large pool of applicants based upon the relevance of their research to the motor and motion control industry.
EMERF Student Presentations
Transverse Flux Machine with Ferrite Magnets
Zhao Wan, Research Assistant, North Carolina State University, Raleigh, North Carolina (2017)
Zhao Wan received his Bachelor’s degree in 2011 from Yanshan University in China, and is currently pursuing a PhD degree in electrical engineering in North Carolina State University, under the advisement of Dr. Iqbal Husain. Since 2014, he has been working on a NSF sponsored project to design novel direct drive motors. In 2015, he worked as an R&D intern at ABB US Corporate Research Center. His main research interest is design of permanent magnet machines for electric vehicle traction applications.
Multi-Objective Design Optimization of a Surface-Mounted Hetergeneous-Pole Permanent Magnet Machine
Andrew Kasha, PhD student, School of Engineering, Purdue University, West Lafayette, Indiana (2016)
Andrew Kasha is studying power magnetics and machine design under the guidance of Professor Scott Sudhoff. He received his BSEE with highest distinction from Purdue in 2013. He has experience in electric utility distribution, power converter hardware development, magnetic materials testing, and motor design and construction. His research interests include modeling of electric machinery and the integration of renewable energy sources for distributed generation.
DC Assisted Bipolar Switched Reluctance Machines
Tausif Husain, PhD candidate, ECE Department, The University of Akron, Akron, Ohio (2015)
Tausif Husain received his BSc degree in electrical engineering from American International University Bangladesh (AIUB), Dhaka Bangladesh, and his MS from the University of Akron in Akron, Ohio in 2010 and 2013 respectively. In 2016 he received his PhD in electrical engineering at The University of Akron where he focused on the design and control of electric machines. Dr. Husain is a Senior Electrical Engineer at BorgWarner.
Cogging Torque Reduction in Flux-Switching Permanent Magnet Machines by Rotor Pole Shaping
Chandan Sikder, PhD candidate, Department of ECE, North Carolina State University, Raleigh, North Carolina (2014)
Chandan Sikder received his BSc in Engineering from Bangladesh University of Engineering and Technology and was previously in the PhD program at Akron University. His areas of interest included electric machines, motor drives, power electronics, electromagnetic and structural analysis of electric machines, and special machines. In 2016 he received his PhD in Electrical and Computer Engineering from North Carolina State University. Dr. Sikder is a Design Engineer III, Software, Power Electronics and Motor Control at Regal Beloit Corporation.
Rational Asymmetrical Electric Machines
Jamal Alsawalhi, PhD Student, Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana (2013)
The objective of this work is to increase the torque density of electric machinery using a rotationally asymmetrical rotor. The main idea behind this design is to favor torque density in one direction at the expense of torque density in the opposite direction. The first asymmetrical machine considered is an asymmetrical reluctance machine, which is compared to a symmetrical reluctance machine using the concept of Pareto-optimal front. Next, the application of an asymmetrical rotor is applied to a surface-mount permanent magnet synchronous machine that is currently under study. Dr. Alsawalhi received the B.S., M.S., and Ph.D. degrees in electrical engineering from Purdue University, West Lafayette, IN, USA, in 2009, 2011, and 2014, respectively. He recently joined the faculty of the Petroleum Institute in Abu Dhabi, UAE., as an Assistant Professor.
Comparison of Core Loss Models for Motor Design Optimization
Yateendra Deshpande, PhD Student, Department of Electrical and Computer Engineering, Texas A&M University (2012)
Genetic Algorithms (GA) define system design parameters as genes and use an evolutionary approach for optimization. This method generates a population of designs which are evaluated in each generation. Traditionally, the system evaluation is based either on Magnetic Equivalent Circuits or analytical equations that describe the motor magnetics. With the decreased computing costs and advent of distributed computing systems, numerical evaluations based on (Finite Element Analysis) FEA can also be performed. With increasing energy costs, efficiency optimization is an important aspect of the design process. If the system model gives an inaccurate description of the system behavior, the GA leads to a false optimum. Hence it is necessary to study the accuracy of loss models. One aspect of core loss models that is peculiar of motors is “vector hysteresis” which has been of interest for a very long time. My study presents the trade-offs between using computationally intensive models versus simplified but less accurate Steinmetz equations for the purpose of design optimization. Dr. Deshpande received his B.S. and M.S. from the Indian Institute of Technology, Madras and his PhD in Electrical Engineering from Texas A&M University in 2014.
Notable Differences between Current Source and Voltage Source Excitation
John Tatarchuk, Graduate Student, The University of Texas at Austin (2011)
The distinction between the use of a current waveform or voltage waveform to excite dynamic hysteresis loops for the characterization of soft magnetic materials is often vaguely defined in industry standards and publications. Since for all magnetic materials, the differential permeability (dB/dH) is not constant, there can be significant differences between dynamic hysteresis loops and magnetization curves that are generated with periodic voltage and current waveforms. My work shows that this is particularly true at higher frequencies due to the effects of eddy currents. Amplifying and buffering circuits were created to study these differences in three different magnetic materials. Analysis of the collected data reveals significant and methodical variation in dynamic hysteresis loops and permeability curves. Additionally, the prediction that a square voltage wave should have a lower core loss at any specific peak flux density than with other voltage waveforms was tested and verified.
Machine Optimization Using Population Based Design
Jacob A. Krizan, Graduate Student in Electrical Engineering (PhD candidate), Purdue University (2010)
Machine design processes have evolved considerably over the past few decades due to advancements in computing power. Numerous new applications have also been found for machines from the widespread use of power electronics and improvements to battery technology. These developments have driven the desire to optimize machine drives for specific applications and have given engineers the computational tools to achieve this goal. Dr. Krizan received his B.S. in Electrical Engineering from Bucknell University in 2008 and his PhD in Electrical Engineering from Purdue University in 2012. He is a Product Development Engineer at Ford Motor Company.
My research focuses on the theory and technical description of techniques developed to optimize machines using population-based algorithms. Designing in this fashion allows machines to be optimized for each application over large design spaces all while saving engineering time.
Development of an Educational Engineering Workshop on Electric Vehicle and Motor Technology
Shane Colton, Graduate Student in Mechanical Engineering, Massachusetts Institute of Technology (2009)
Shane Colton describes the development of an educational program centered on electric motor and electric vehicle technology at the MIT Edgerton Center. The program, called the Summer Engineering Workshop, has matched students from local high schools with MIT undergraduate and graduate students sharing a common interest in electric vehicles, their propulsion systems, and their controls. Past projects included the creation of a “do-it-yourself” self-balancing scooter and an electric go-kart with a novel regenerative braking system. In the summer of 2009, the Summer Engineering Workshop developed a compact electric kick-scooter powered by two 500W brushless in-wheel motors. This project provided opportunity for the group to go beyond integration of existing components and into the field of electric machine design. We developed an understanding of the theoretical and practical considerations through many avenues: research of prior art, design from first principles, integrated magnetic and mechanical computer-aided design, and ultimately the real-world construction and testing of these motors. In the process, academic and industry professionals provided insight that benefited both the educational and the technical objectives of the project. The final product will become a valuable research and teaching tool, and the success of the program highlights some strengths of combined technical and educational development.