Refinement of a 3D finite strain viscoelastic constitutive model for thermally induced shape memory polymers
Refinement of a previously developed 3D finite strain viscoelastic constitutive model for thermally induced shape memory polymers is proposed. In the previous model, the temperature-dependent material parameters consist of two parts: parameters at high and low temperatures. In addition, six paramete...
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2021-04-01
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doaj-1ef5fae8b37c43d0bed89c1ac650c9a72021-03-22T12:34:57ZengElsevierPolymer Testing0142-94182021-04-0196107139Refinement of a 3D finite strain viscoelastic constitutive model for thermally induced shape memory polymersYingyu Wang0Jichong Wang1Xiongqi Peng2School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200030, ChinaSchool of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200030, ChinaCorresponding author.; School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200030, ChinaRefinement of a previously developed 3D finite strain viscoelastic constitutive model for thermally induced shape memory polymers is proposed. In the previous model, the temperature-dependent material parameters consist of two parts: parameters at high and low temperatures. In addition, six parameters are fitted simultaneously only based on a single curve of initial elastic modulus, incurring difficulty in parameter identification. In this paper, the parameters at high temperature are derived from those at low temperature by using a modified Adam-Gibbs model and Arrhenius-type of time-temperature superposition shift factor. In addition, by introducing a physics based viscosity parameter, only three parameters are needed to be determined by the curve of initial elastic modulus. The number of material parameters is thus reduced from seventeen in the old model to thirteen, and the material parameter identification process is much easier to be implemented. Finally, the refined model is validated by comparing with three experimental sets of free recovery from the literature.http://www.sciencedirect.com/science/article/pii/S0142941821000891Shape memory polymerFinite strainViscoelasticConstitutive model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yingyu Wang Jichong Wang Xiongqi Peng |
spellingShingle |
Yingyu Wang Jichong Wang Xiongqi Peng Refinement of a 3D finite strain viscoelastic constitutive model for thermally induced shape memory polymers Polymer Testing Shape memory polymer Finite strain Viscoelastic Constitutive model |
author_facet |
Yingyu Wang Jichong Wang Xiongqi Peng |
author_sort |
Yingyu Wang |
title |
Refinement of a 3D finite strain viscoelastic constitutive model for thermally induced shape memory polymers |
title_short |
Refinement of a 3D finite strain viscoelastic constitutive model for thermally induced shape memory polymers |
title_full |
Refinement of a 3D finite strain viscoelastic constitutive model for thermally induced shape memory polymers |
title_fullStr |
Refinement of a 3D finite strain viscoelastic constitutive model for thermally induced shape memory polymers |
title_full_unstemmed |
Refinement of a 3D finite strain viscoelastic constitutive model for thermally induced shape memory polymers |
title_sort |
refinement of a 3d finite strain viscoelastic constitutive model for thermally induced shape memory polymers |
publisher |
Elsevier |
series |
Polymer Testing |
issn |
0142-9418 |
publishDate |
2021-04-01 |
description |
Refinement of a previously developed 3D finite strain viscoelastic constitutive model for thermally induced shape memory polymers is proposed. In the previous model, the temperature-dependent material parameters consist of two parts: parameters at high and low temperatures. In addition, six parameters are fitted simultaneously only based on a single curve of initial elastic modulus, incurring difficulty in parameter identification. In this paper, the parameters at high temperature are derived from those at low temperature by using a modified Adam-Gibbs model and Arrhenius-type of time-temperature superposition shift factor. In addition, by introducing a physics based viscosity parameter, only three parameters are needed to be determined by the curve of initial elastic modulus. The number of material parameters is thus reduced from seventeen in the old model to thirteen, and the material parameter identification process is much easier to be implemented. Finally, the refined model is validated by comparing with three experimental sets of free recovery from the literature. |
topic |
Shape memory polymer Finite strain Viscoelastic Constitutive model |
url |
http://www.sciencedirect.com/science/article/pii/S0142941821000891 |
work_keys_str_mv |
AT yingyuwang refinementofa3dfinitestrainviscoelasticconstitutivemodelforthermallyinducedshapememorypolymers AT jichongwang refinementofa3dfinitestrainviscoelasticconstitutivemodelforthermallyinducedshapememorypolymers AT xiongqipeng refinementofa3dfinitestrainviscoelasticconstitutivemodelforthermallyinducedshapememorypolymers |
_version_ |
1724208661464612864 |