Tools
Tools
Jarrah, HR, Zolfagharian, A, Hedayati, R, Serjouei, A 
ORCID: https://orcid.org/0000-0002-7250-4131 and Bodaghi, M ORCID: https://orcid.org/0000-0002-0707-944X,
2021.
Nonlinear finite element modelling of thermo-visco-plastic styrene and polyurethane shape memory polymer foams.
Actuators, 10 (3): 46.
Preview |
Text
1421785_Bodaghi.pdf - Published version Download (5MB) | Preview |
Abstract
This paper presents nonlinear finite element (FE) models to predict time- and temperature-dependent responses of shape memory polymer (SMP) foams in the large deformation regime. For the first time, an A SMP foam constitutive model is implemented in the ABAQUS FE package with the aid of a VUMAT subroutine to predict thermo-visco-plastic behaviors. A phenomenological constitutive model is reformulated adopting a multiplicative decomposition of the deformation gradient into thermal and mechanical parts considering visco-plastic SMP matrix and glass microsphere inclusions. The stress split scheme is considered by a Maxwell element in parallel with a hyper-elastic rubbery spring. The Eyring dashpot is used for modelling the isotropic resistance to the local molecular rearrangement such as chain rotation. A viscous flow rule is adopted to prescribe shear viscosity and stress. An evolution rule is also considered for the athermal shear strengths to simulate macroscopic post-yield strain-softening behavior. In order to validate the accuracy of the model as well as the solution procedure, the numerical results are compared to experimental responses of Styrene and Polyurethane SMP foams at different temperatures and under different strain rates. The results show that the introduced FE modelling procedure is capable of capturing the major phenomena observed in experiments such as elastic and elastic-plastic behaviors, softening plateau regime, and densification.
| Item Type: | Journal article |
|---|---|
| Publication Title: | Actuators |
| Creators: | Jarrah, H.R., Zolfagharian, A., Hedayati, R., Serjouei, A. and Bodaghi, M. |
| Publisher: | MDPI |
| Date: | 28 February 2021 |
| Volume: | 10 |
| Number: | 3 |
| Identifiers: | Number Type 10.3390/act10030046 DOI 1421785 Other |
| Rights: | © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
| Divisions: | Schools > School of Science and Technology |
| Record created by: | Jonathan Gallacher |
| Date Added: | 09 Mar 2021 17:19 |
| Last Modified: | 31 May 2021 15:05 |
| URI: | https://irep.ntu.ac.uk/id/eprint/42467 |
Actions (login required)
 |
Edit View |
Statistics
Views
Views per month over past year
Downloads
Downloads per month over past year
