Large deformation analysis of a dielectric elastomer membrane-spring system

2009 ◽  
Author(s):  
Tianhu He ◽  
Leilei Cui ◽  
Cheng Chen
2014 ◽  
Vol 912-914 ◽  
pp. 981-988
Author(s):  
Lei Lei Cui ◽  
Li Li

Due to the capability of high strain, dielectric elastomers are promising for applications as transducers in cameras, robots, valves, pumps, energy harvesters and so on. This paper focuses on the large deformation analysis of a dielectric elastomer membrane.The membrane is initially flat and attached to a disk in the inner circle and to a rigid ring in the outer circle, then a weight is applied to the disk and the membrane deforms into an axisymmetric shape, undergoing large out-of-plane deformation. The membrane is assumed to behave elastically in accordance with the ogden law. The governing equations are derived by combining kinematics and thermodynamics and a set of ordinary differential equations (ODEs) are obtained finally. The ODEs are solved by using shooting method. The obtained results show that the deformation field in the membrane is very inhomogeneous.


2011 ◽  
Vol 55 (2) ◽  
pp. 537-541 ◽  
Author(s):  
XiaoHong Wu ◽  
WenJie Sun ◽  
Bo Li ◽  
HuaLing Chen ◽  
JinXiong Zhou

2019 ◽  
Vol 163 ◽  
pp. 146-167 ◽  
Author(s):  
Nasrin Jafari ◽  
Mojtaba Azhari ◽  
Bijan Boroomand

2010 ◽  
Vol 139-141 ◽  
pp. 893-896 ◽  
Author(s):  
Yuan Tong Gu

To accurately and effectively simulate large deformation is one of the major challenges in numerical modeling of metal forming. In this paper, an adaptive local meshless formulation based on the meshless shape functions and the local weak-form is developed for the large deformation analysis. Total Lagrangian (TL) and the Updated Lagrangian (UL) approaches are used and thoroughly compared each other in computational efficiency and accuracy. It has been found that the developed meshless technique provides a superior performance to the conventional FEM in dealing with large deformation problems for metal forming. In addition, the TL has better computational efficiency than the UL. However, the adaptive analysis is much more efficient using in the UL approach than using in the TL approach.


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