Datasets for Comprehensive Hyperelastic Constitutive Modeling and Analysis of Multi-Elastic Polydimethylsiloxane (PDMS) for Wearable Device Applications
Description
To replicate the mechanical properties of polydimethylsiloxane (PDMS) in finite element method (FEM), an accurate constitutive model is required, preferably one that encompasses a wide range of PDMS elasticity. In this study, using commercial COMSOL Multiphysics FEM software, we determine Mooney-Rivlin 5 parameters as the best hyperelastic model fitted against PDMS experimental data, and proceed to construct a parameter correlation plot combining PDMS of different concentrations together. Experimental validation is then performed using parameters extracted from this plot, showing good agreement between simulation and experimental result. In addition, to reflect model applicability, simulations related to basic mechanical deformations involved in wearable devices (compression, stretching, bending and twisting) are performed and analyzed. Further analysis is also performed to investigate the effect of combining different experimental datasets as input into the model. These datasets include COMSOL mph file containing the setup related to Levenberg-Marquardt least squares method for fitting the main PDMS samples' experimental data (Excel files) to Mooney-Rivlin 5 parameters model. Also included are COMSOL mph files for compression, stretching, bending and twisting simulations.
Files
Steps to reproduce
Raw data (tensile, compressive and shear) were obtained using UTM in standard ASTM-approved mechanical deformation experiments. The results were then used an input for non-linear least squares fitting with several hyperelastic models. The chosen model (Mooney-Rivlin 5 parameters model) follow the methodology outlined in the MR5 COMSOL Multiphysics (mph) file. The material parameters obtained from the curve fitting process were then used to form several simulations outlined in Stretch, Compression, Bending and Twisting mph files.
Institutions
Categories
Funding
National Research Foundation of Korea
2020R1F1A1075031
National Research Foundation of Korea
2018R1A5A1025511