A thermomechanical model of multi-shape memory effect for amorphous polymer with tunable segment compositions

Xiaodong Wang, Haibao Lu, Xiaojuan Shi, Kai Yu, Richard Fu

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)
8 Downloads (Pure)

Abstract

Multi-shape memory effect (multi-SME) in amorphous polymers has attracted great attention due to their complex thermal transitions and multi-step recovery behavior. Many experimental studies have been reported for synthesis, characterization, testing and demonstration of the multi-SME. However, theoretical approaches have seldom been applied although they are critically needed to understand the principles and predict the behavior of the multi-SME in various amorphous polymers. In this study, a new thermomechanical model was proposed to describe the thermo-/chemo-responsive multi-SME of amorphous polymers with tunable segment compositions. Based on the Weibull statistical model, a new constitutive framework was established to describe temperature-, stretch ratio- and strain-dependent behaviors of thermo-/chemo-responsive multi-SME. Finally, this newly proposed model was applied to quantitatively identify the crucial factors for the thermo-/chemo-responsive shape recovery behaviors, which have been verified by the reported experimental data.
Original languageEnglish
Pages (from-to)298-305
Number of pages8
JournalComposites Part B: Engineering
Volume160
Early online date17 Oct 2018
DOIs
Publication statusPublished - 1 Mar 2019

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