Topological optimization of variable area plate capacitors for coupled electromechanical energy harvesters

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2019-09-01

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Abstract

This article examines how topological optimization can be applied to identify nonintuitive capacitor plate patterning that maximizes average power dissipated through an electrical circuit during energy harvesting. Coupled electromechanical equations of motion are derived that include both the instantaneous and change in overlapping conductive area as functions of plate rotation. A genetic algorithm is used to optimize these terms and then map them to physical plate configurations. The results obtained apply specifically to the case presented; however, the methods are general and can be used to solve a broad range of electrostatic energy harvesting problems.

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10.1177/1045389X19861792

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Sequeira, D, K Coonley and B Mann (2019). Topological optimization of variable area plate capacitors for coupled electromechanical energy harvesters. Journal of Intelligent Material Systems and Structures, 30(15). pp. 2198–2211. 10.1177/1045389X19861792 Retrieved from https://hdl.handle.net/10161/31261.

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Coonley

Kip Coonley

Assistant Professor Of The Practice in the Thomas Lord Department of Mechanical Engineering and Materials Science

Kip D. Coonley received the Ph.D. degree in Electrical and Computer Engineering from Duke University, Durham, NC in 2023, the M.S. degree in Electrical Engineering from Dartmouth College, Hanover, NH, in 1999 and the B.S. degree in Physics from Bates College, Lewiston, ME, in 1997. Following graduation from Dartmouth, he developed electronically controlled dimmers for fluorescent and incandescent lamps at Lutron Electronics, Coopersburg, PA. From 2001 to 2005, he was a Research Engineer at RTI International, where he designed high-efficiency thermoelectrics using epitaxially grown superlattice thin-film structures. Since 2005, he has been the Undergraduate Laboratory Manager in the Department of Electrical and Computer Engineering at Duke University, Durham, NC earning the doctoral degree in 2023. His research interests include undergraduate engineering education, energy harvesting, RFID, power electronics, plasma physics, and thin films.


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