详细信息

Viscoelasticity Modeling of Dielectric Elastomers by Kelvin Voigt-Generalized Maxwell Model  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Viscoelasticity Modeling of Dielectric Elastomers by Kelvin Voigt-Generalized Maxwell Model

作者:TuanDung Nguyen[1];Li, Jin[1];Sun, Lijie[1];DanhQuang Tran[1];Xuan, Fuzhen[1]

机构:[1]East China Univ Sci & Technol, Sch Mech & Power Engn, 130 Meilong Rd, Shanghai 200237, Peoples R China

年份:2021

卷号:13

期号:13

外文期刊名:POLYMERS

收录:;EI(收录号:20212910656585);WOS:【SCI-EXPANDED(收录号:WOS:000671217100001)】;

基金:tThis research was funded by National Natural Science Foundation of China, grant number 52075172 and the Natural Science Foundation of Shanghai, grant number 19ZR1413300.

语种:英文

外文关键词:dielectric elastomer; electromechanical coupling; creep; viscoelastic electromechanical modeling; soft robotics

摘要:Dielectric elastomers (DEs) are polymer materials consisting of a network of polymer chains connected by covalent cross-links. This type of structural feature allows DEs to generate large displacement outputs owing to the nonlinear electromechanical coupling and time-dependent viscoelastic behavior. The major challenge is to properly actuate the nonlinear soft materials in applications of robotic manipulations. To characterize the complex time-dependent viscoelasticity of the DEs, a nonlinear rheological model is proposed to describe the time-dependent viscoelastic behaviors of DEs by combining the advantages of the Kelvin-Voigt model and the generalized Maxwell model. We adopt a Monte Carlo statistical simulation method as an auxiliary method, to the best knowledge of the author which has never reportedly been used in this field, to improve the quantitative prediction ability of the generalized model. The proposed model can simultaneously describe the DE deformation processes under step voltage and alternating voltage excitation. Comparisons between the numerical simulation results and experimental data demonstrate the effectiveness of the proposed generalized rheological model with a maximum prediction error of 3.762% and root-mean-square prediction error of 9.03%. The results presented herein can provide theoretical guidance for the design of viscoelastic DE actuators and serve as a basis for manipulation control to suppress the viscoelastic creep and increase the speed response of the dielectric elastomer actuators (DEA).

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