Characteristic evaluation of dielectric elastomer actuator based on the stretchable electrode density

Taichi Murakami, Ayato Minaminosono, Ardi Wianata, Hozuma Okabe, Hiroki Shigemune, Shingo Maeda

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Dielectric elastomer actuators (DEAs) have a high energy density and low power consumption. The development of DEAs operating characteristics may greatly contribute to the development of the next generation of soft actuators. In the previous works, we reported a brushing method to fabricate ideal stretchable electrodes for DEA using Carbon nanotube (CNT) powders. In this study, we investigated the relationships between the characteristics of the DEA and the density of the CNT as a stretchable electrode. When the electrode density was low, the increasing area due to the DEAs actuation cause the electrode resistance to elevate steeply. The increase in this electric resistance indicates the degradation of the network connection between the CNTs. In the case of a low density of CNT, the plane stress of DEAs against voltage increment became smaller. As a result, higher voltages can be applied. Currently, we succeeded in restraining the displacement of the DEAs in response to voltage changes. This technique is intended to finely control the deformation of the DEA in regard to the voltage change. Therefore, our technology has the potential contribution to an area where fine control of actuators is required, such as motion control and position control.

本文言語English
ホスト出版物のタイトル2021 IEEE 4th International Conference on Soft Robotics, RoboSoft 2021
出版社Institute of Electrical and Electronics Engineers Inc.
ページ563-566
ページ数4
ISBN(電子版)9781728177137
DOI
出版ステータスPublished - 2021 4 12
イベント4th IEEE International Conference on Soft Robotics, RoboSoft 2021 - New Haven, United States
継続期間: 2021 4 122021 4 16

出版物シリーズ

名前2021 IEEE 4th International Conference on Soft Robotics, RoboSoft 2021

Conference

Conference4th IEEE International Conference on Soft Robotics, RoboSoft 2021
国/地域United States
CityNew Haven
Period21/4/1221/4/16

ASJC Scopus subject areas

  • 人工知能
  • 機械工学
  • 制御と最適化
  • モデリングとシミュレーション

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