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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Main Authors: Yingyu Wang, Jichong Wang, Xiongqi Peng
Format: Article
Language:English
Published: Elsevier 2021-04-01
Series:Polymer Testing
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0142941821000891
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spelling 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
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