@inproceedings{b18b5c6c35794702a332c64c66857fea,
title = "Simulation and Optimization of Piezoelectric Cantilever Configurations for Energy Harvesting with Multi-modal Vibrations",
abstract = "The power generation capacity of piezoelectric cantilever energy harvester is limited by the narrow bandwidth of beam resonances. To overcome this problem, vibration modal analysis of piezoelectric cantilevers was carried out with different configurations that can be realized in a vertical system. Combining with the operating characteristics of the rotating machine, a scheme was proposed. In this scheme, the bending and torsional vibration modes were combined to constitute the piezoelectric cantilever energy harvester with wideband characteristics. The coupling of the bending mode and the twisting mode was implemented, by the segmented piezoelectric plate structure and the distributive mass arrangements. Finite element analysis was done for those configurations, and the simulation results show that the natural frequency of first bending mode is 11.26 Hz and the natural frequency of twisting mode can be reduced to 20.08 Hz. The amplitude of the output voltage from single piezoelectric plate, could be up to as high as 2.4 V. The optimized energy harvester has the broadband power generation capacity to be more suitable for a wide range of rotor speeds.",
keywords = "Bending mode, Broadband, Energy harvester, Piezoelectric cantilever, Twisting mode",
author = "Weiqiang Mo and Yubin Lin and Shiqing Huang and Zuolu Wang and Fengshou Gu and Bo Liang and Hongjun Wang",
note = "Funding Information: Acknowledgements. The support for this research under the Open Fund Project of Key Laboratory of Modern Measurement and Control Technology, Ministry of Education (Grant No. KF20211123205) is gratefully acknowledged. Without their financial support, this work would not have been possible. Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference of The Efficiency and Performance Engineering Network 2022, TEPEN 2022 ; Conference date: 18-08-2022 Through 21-08-2022",
year = "2023",
month = mar,
day = "4",
doi = "10.1007/978-3-031-26193-0_67",
language = "English",
isbn = "9783031261923",
volume = "129",
series = "Mechanisms and Machine Science",
publisher = "Springer, Cham",
pages = "766--775",
editor = "Hao Zhang and Yongjian Ji and Tongtong Liu and Xiuquan Sun and Ball, {Andrew David}",
booktitle = "Proceedings of TEPEN 2022",
address = "Switzerland",
}
