Performance Optimization of a Conical Dielectric Elastomer Actuator

被引:27
|
作者
Cao, Chongjing [1 ,2 ]
Conn, Andrew T. [1 ,3 ]
机构
[1] Bristol Robot Lab, Bristol BS16 1QY, Avon, England
[2] Univ Bristol, Dept Aerosp Engn, Bristol BS8 1TR, Avon, England
[3] Univ Bristol, Dept Mech Engn, Bristol BS8 1TR, Avon, England
基金
英国工程与自然科学研究理事会;
关键词
dielectric elastomer actuators (DEAs); conical configuration optimization; hyperelastic model stroke output; work output;
D O I
10.3390/act7020032
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Dielectric elastomer actuators (DEAs) are known as artificial muscles' due to their large actuation strain, high energy density and self-sensing capability. The conical configuration has been widely adopted in DEA applications such as bio-inspired locomotion and micropumps for its good compactness, ease for fabrication and large actuation stroke. However, the conical protrusion of the DEA membrane is characterized by inhomogeneous stresses, which complicate their design. In this work, we present an analytical model-based optimization for conical DEAs with the three biasing elements: (I) linear compression spring; (II) biasing mass; and (III) antagonistic double-cone DEA. The optimization is to find the maximum stroke and work output of a conical DEA by tuning its geometry (inner disk to outer frame radius ratio a/b) and pre-stretch ratio. The results show that (a) for all three cases, stroke and work output are maximum for a pre-stretch ratio of 1 x 1 for the Parker silicone elastomer, which suggests the stretch caused by out-of-plane deformation is sufficient for this specific elastomer. (b) Stroke maximization is obtained for a lower a/b ratio while a larger a/b ratio is required to maximize work output, but the optimal a/b ratio is less than 0.3 in all three cases. (c) The double-cone configuration has the largest stroke while single cone with a biasing mass has the highest work output.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] A Compound-Structure Frame for Improving the Performance of a Dielectric Elastomer Actuator
    Berselli, Giovanni
    Vertechy, Rocco
    Vassura, Gabriele
    Castelli, Vincenzo Parenti
    ADVANCES IN ROBOT KINEMATICS: ANALYSIS AND DESIGN, 2008, : 291 - 299
  • [32] Soft dielectric elastomer actuator micropump
    Ghazali, Farah Afiqa Mohd
    Mah, Che Ken
    AbuZaiter, Alaa
    Chee, Pei Song
    Ali, Mohamed Sultan Mohamed
    SENSORS AND ACTUATORS A-PHYSICAL, 2017, 263 : 276 - 284
  • [33] Twisted Dielectric Elastomer Stack Actuator
    Jung, Ho Sang
    Yang, Sang Yul
    Cho, Kyeong Ho
    Song, Min-Geun
    Choi, Hyouk Ryeol
    2016 13TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI), 2016, : 112 - 113
  • [34] Modeling of a Dielectric Elastomer Bender Actuator
    White, Paul
    Latscha, Stella
    Yim, Mark
    ACTUATORS, 2014, 3 (03) : 245 - 269
  • [35] Wireless Powered Dielectric Elastomer Actuator
    Chen, Lai
    Sasatani, Takuya
    Or, Keung
    Nishikawa, Satoshi
    Kawahara, Yoshihiro
    Niiyama, Ryuma
    Kuniyoshi, Yasuo
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 6 (04) : 7278 - 7284
  • [36] A Robust Multilayer Dielectric Elastomer Actuator
    Wolak, Mason A.
    Zhu, Lei
    MULTIFUNCTIONAL POLYMERIC AND HYBRID MATERIALS, 2015, 1718 : 145 - 155
  • [37] Modelling and Control of a Dielectric Elastomer Actuator
    Liang, Wenyu
    Cao, Jiawei
    Ren, Qinyuan
    2018 3RD IEEE INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (IEEE ICARM), 2018, : 124 - 129
  • [38] Modeling and control of a dielectric elastomer actuator
    Gupta, Ujjaval
    Gu, Guo-Ying
    Zhu, Jian
    ELECTROACTIVE POLYMER ACTUATORS AND DEVICES (EAPAD) 2016, 2016, 9798
  • [39] Inverse dynamics modelling and tracking control of conical dielectric elastomer actuator based on GRU neural network
    Zhang, Yue
    Wu, Jundong
    Huang, Peng
    Su, Chun-Yi
    Wang, Yawu
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 118
  • [40] Dielectric elastomer actuator biased by magnetorheological elastomer with permanent magnet
    Bernat, Jakub
    Kolota, Jakub
    Gajewski, Piotr
    Marcinkowska, Agnieszka
    SMART MATERIALS AND STRUCTURES, 2023, 32 (09)