Modeling shape-memory effects in amorphous polymers

被引:6
|
作者
Xiao, Rui [1 ]
机构
[1] Hohai Univ, Coll Mech & Mat, Dept Engn Mech, Nanjing 210098, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
shape-memory polymers; constitutive modeling; glass transition; temperature-memory effects;
D O I
10.1016/j.matpr.2019.05.324
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The time-dependent behavior of glass transition can be used to achieve shape-memory behaviors in amorphous polymers. Thus, modeling the shape-memory effect in amorphous polymers requires considering the viscoelastic/viscoplastic behaviour across the glass transition region. Here, we discuss our past efforts to develop constitutive models for the glass transition behavior of amorphous polymers to predict the shape-memory behavior under a variety of conditions. We first demonstrate that a viscoelastic model with multiple relaxation processes can describe the temperature memory effect and multiple shape-memory effect in amorphous thermosets and thermoplastics. The viscoelastic model is further extended to a viscoplastic model. Comparison with experimental results shows that the viscoplastic model can accurately predict the partially constrained shape recovery of polymers programmed below the glass transition temperature. Finally, we present a constitutive model to describe the effect of solvent absorption on the thermomechanical properties and shape-memory behavior of amorphous polymers. We derive an explicit function to describe the influence of solvent concentration on viscosity and implement the model for finite element analysis. The thermo-chemo-mechanical coupled model is able to describe the isothermal recovery of programmed SMPs in water. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1462 / 1468
页数:7
相关论文
共 50 条
  • [31] Shape-memory polymers for biomedical applications
    Yakacki, Christopher M.
    Gall, Ken
    Advances in Polymer Science, 2010, 226 (01) : 147 - 175
  • [32] Characterization Methods for Shape-Memory Polymers
    Wagermaier, Wolfgang
    Kratz, Karl
    Heuchel, Matthias
    Lendlein, Andreas
    SHAPE-MEMORY POLYMERS, 2010, 226 : 97 - 145
  • [33] Shape-Memory Polymers for Biomedical Applications
    Yakacki, Christopher M.
    Gall, Ken
    SHAPE-MEMORY POLYMERS, 2010, 226 : 147 - 175
  • [34] Characterization methods for shape-memory polymers
    Wagermaier, Wolfgang
    Kratz, Karl
    Heuchel, Matthias
    Lendlein, Andreas
    Advances in Polymer Science, 2010, 226 (01) : 97 - 145
  • [35] Electrically conductive shape-memory polymers
    Lan, X.
    Huang, W.M.
    Leng, J.S.
    Liu, N.
    Phee, L.S.J.
    Yuan, Q.
    Yuan, Quan
    Gummi, Fasern, Kunststoffe, 2008, 61 (12): : 784 - 789
  • [36] Modeling the solvent-induced shape-memory behavior of glassy polymers
    Xiao, Rui
    Nguyen, Thao D.
    SOFT MATTER, 2013, 9 (39) : 9455 - 9464
  • [37] Shape-memory biomedical polymers launched
    Wood, Andrew
    Chemical Week, 2002, 164 (18)
  • [38] Reversible Bidirectional Shape-Memory Polymers
    Behl, Marc
    Kratz, Karl
    Zotzmann, Joerg
    Noechel, Ulrich
    Lendlein, Andreas
    ADVANCED MATERIALS, 2013, 25 (32) : 4466 - 4469
  • [39] Deformation limits in shape-memory polymers
    Yakacki, Christopher M.
    Willis, Samantha
    Luders, Chris
    Gall, Ken
    ADVANCED ENGINEERING MATERIALS, 2008, 10 (1-2) : 112 - 119
  • [40] A unified thermodynamic modeling approach for amorphous shape memory polymers
    Duan, Hao
    Gu, Jianping
    Sun, Huiyu
    Zeng, Hao
    COMPUTATIONAL MATERIALS SCIENCE, 2025, 246