Recovery from fatigue of pneumatic artificial muscle using a thermoplastic elastomer
Recovery from fatigue of pneumatic artificial muscle using a thermoplastic elastomer
复制标题
使用热塑性弹性体的气动人工肌肉的疲劳恢复
DOI:
10.1080/01691864.2020.1824808
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发表时间:
2020
影响因子:
2
通讯作者:
Ando Shingo
中科院分区:
文献类型:
--
作者:
Tomori Hiroki;Sasama Takuma;Ando Shingo
Robots, driven by soft actuators, aim at ensuring human safety. Owing to their relatively higher output force than other soft actuators, rubber pneumatic artificial muscles (PAM) are actively researched. In particular, straight-fiber pneumatic artificial muscle (SFPAM) has high output and contraction abilities. However, significant deformation places substantial strain on rubber, shortening the lifespan of artificial muscle. Therefore, improving the lifespan of artificial muscle is important for practical applications. To achieve this, this study proposes the use of a repairable elastomer with artificial muscle. We suggest that the lifespan of artificial muscle can be improved using a maintenance process. Herein, styrene-ethylene-propylene-styrene (SEPS), a type of thermoplastic elastomer, was selected and a heat-based maintenance method proposed. Fatigue test results using the SEPS sample showed an increase in fatigue lifespan using the proposed heat treatment. However, we also have to address undesired deformation of SEPS exhibiting plastic property by heating. To avoid contact with SEPS during heating, we proposed contactless heating method with microwave. To make SEPS catch microwave, we created carbon black-blended SEPS samples. Fatigue tests indicated that the heat treatment method with microwave also increased the lifespan of carbon black-blended SEPS samples.
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DOI:
--
发表时间:
2019
期刊:
影响因子:
--
作者:
H. Tomori;Y. Sato;S. Ando
通讯作者:
S. Ando
DOI:
10.1109/robot.2007.364151
发表时间:
2007
期刊:
Proceedings 2007 IEEE International Conference on Robotics and Automation
影响因子:
--
作者:
Taro Nakamura;Hitomi Shinohara
通讯作者:
Hitomi Shinohara
DOI:
10.1117/12.698845
发表时间:
2006
期刊:
--
影响因子:
--
作者:
Taro Nakamura
通讯作者:
Taro Nakamura
DOI:
10.1109/robosoft.2018.8404918
发表时间:
2018
期刊:
2018 IEEE International Conference on Soft Robotics (RoboSoft)
影响因子:
--
作者:
A. Kojima;M. Okui;Yasuyuki Yamada;Taro Nakamura
通讯作者:
Taro Nakamura
影响因子:
5.2
作者:
Terryn, Seppe;Brancart, Joost;Vanderborght, Bram
通讯作者:
Vanderborght, Bram