Parameter Identification and Validation of Shape-Memory Polymers within the Framework of Finite Strain Viscoelasticity.

finite viscoelasticity functional materials modeling parameter identification physical aging shape memory effect shape memory polymer swelling

Journal

Materials (Basel, Switzerland)
ISSN: 1996-1944
Titre abrégé: Materials (Basel)
Pays: Switzerland
ID NLM: 101555929

Informations de publication

Date de publication:
19 Apr 2021
Historique:
received: 07 03 2021
revised: 30 03 2021
accepted: 01 04 2021
entrez: 30 4 2021
pubmed: 1 5 2021
medline: 1 5 2021
Statut: epublish

Résumé

Shape-Memory Polymers (SMPs) can be stretched to large deformations and recover induced strains when exposed to an appropriate stimulus, such as heat. This emerging class of functional polymers has attracted much interest and found applications in medicine and engineering. Nevertheless, prior to any application, their physical and mechanical properties must be thoroughly studied and understood in order to make predictions or to design structures thereof. In this contribution, the viscoelastic behavior of a polyether-based polyurethane (Estane) and its rate- and temperature-dependent behavior have been studied experimentally and by the mean of simulations. The model-inherent material parameters are identified with the assumption of the thermo-rheological complexity. Here, the numerical results of uni-axial stress relaxations were compared with the associated experiments in conjucation with the Levenberg-Marquard optimization method to determine the parameters of the Prony equation. The ability of the model to simulate the thermo-mechanical properties of Estane was evaluated by data-rich experimental observations on tension and torsion in various temperature ranges. Heterogeneous tests are included into the experimental program to cover a broader spectrum of loading scenarios.

Identifiants

pubmed: 33921751
pii: ma14082049
doi: 10.3390/ma14082049
pmc: PMC8073646
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Deutsche Forschungsgemeinschaft
ID : STE 969/8-1 and STE 969/8-2

Références

J Appl Biomater Funct Mater. 2012;10(3):259-64
pubmed: 23258560
Polymers (Basel). 2018 Jan 23;10(2):
pubmed: 30966144
Adv Mater. 2021 Mar;33(9):e2007982
pubmed: 33470493

Auteurs

Ehsan Ghobadi (E)

Institute of Applied Mechanics (CE), University of Stuttgart, Pfaffenwaldring 7, 70569 Stuttgart, Germany.

Alexey Shutov (A)

Lavrentyev Institute of Hydrodynamics, Lavrentyeva 15, 630090 Novosibirsk, Russia.

Holger Steeb (H)

Institute of Applied Mechanics (CE), University of Stuttgart, Pfaffenwaldring 7, 70569 Stuttgart, Germany.
Stuttgart Center for Simulation Science, University of Stuttgart, Pfaffenwaldring 5a, 70569 Stuttgart, Germany.

Classifications MeSH