Experimental and Machine Learning Study of a Modified Cymbal Piezoelectric Energy Harvester

Cymbal piezoelectric energy harvesters offer an effective platform for converting mechanical vibrations into electrical energy due to their ability to exploit both longitudinal (d₃₃) and transverse (d₃₁) piezoelectric coefficients. However, the design of flexible cymbal structu...

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主要な著者:	Turuna Seecharan, Cobi Kiffmeyer, Nolan Voiles, Kyle Enrlichman, Alex Hankins, Ping Zhao
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-11-01
シリーズ:	Micromachines
主題:	cymbal piezoelectric harvester PVDF singular value decomposition machine learning prediction
オンライン･アクセス:	https://www.mdpi.com/2072-666X/16/12/1342
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