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Leveraging Ferroelectret Nanogenerators for Acoustic Applications.
Song, Ziling; Cai, Xianfa; Wang, Yiqin; Yang, Wenyu; Li, Wei.
Afiliação
  • Song Z; College of Integrated Circuit Science and Engineering, Nanjing University of Posts and Telecommunications, 9 Wenyuan Rd., Nanjing 210046, China.
  • Cai X; College of Integrated Circuit Science and Engineering, Nanjing University of Posts and Telecommunications, 9 Wenyuan Rd., Nanjing 210046, China.
  • Wang Y; College of Integrated Circuit Science and Engineering, Nanjing University of Posts and Telecommunications, 9 Wenyuan Rd., Nanjing 210046, China.
  • Yang W; School of Mechanical Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Rd., Wuhan 430074, China.
  • Li W; College of Integrated Circuit Science and Engineering, Nanjing University of Posts and Telecommunications, 9 Wenyuan Rd., Nanjing 210046, China.
Micromachines (Basel) ; 14(12)2023 Nov 23.
Article em En | MEDLINE | ID: mdl-38138314
ABSTRACT
Ferroelectret nanogenerator (FENG), renowned for its remarkable electromechanical conversion efficiency and low Young's modulus, has gained significant attention in various acoustic applications. The increasing interest is attributed to the crucial role acoustic devices play in our daily lives. This paper provides a comprehensive review of the advancements made in using FENG for acoustic applications. It elaborates on the operational mechanism of FENG in acoustics, with a special focus on comparing the influence of different fabrication materials and techniques on its properties. This review categorizes acoustic applications of FENG into three primary areas acoustic sensing, acoustic actuation, and acoustic energy harvesting. The detailed descriptions of FENG's implementations in these areas are provided, and potential directions and challenges for further development are outlined. By demonstrating the wide range of potential applications for FENG, it is shown that FENG can be adapted to meet different individual needs.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article