期刊论文详细信息
POLYMER 卷:181
A coupling model for cooperative dynamics in shape memory polymer undergoing multiple glass transitions and complex stress relaxations
Article
Wang, Xiaodong1  Liu, Yuheng1  Lu, Haibao1  Wu, Nan2  Hui, David3  Fu, Yong-Qing4 
[1] Harbin Inst Technol, Sci & Technol Adv Composites Special Environm Lab, Harbin 150080, Heilongjiang, Peoples R China
[2] Univ Manitoba, Dept Mech Engn, Winnipeg, MB R3T 2N2, Canada
[3] Univ New Orleans, Dept Mech Engn, Composite Mat Res Lab, New Orleans, LA 70148 USA
[4] Northumbria Univ, Fac Engn & Environm, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England
关键词: Shape memory polymer;    Shape memory effect;    Cooperative dynamics;   
DOI  :  10.1016/j.polymer.2019.121785
来源: Elsevier
PDF
【 摘 要 】

Modelling multi-shape memory effect (multi-SME) of shape memory polymers (SMPs) is a critical challenge for fields of mathematics/statistics and condensed-matter physics. These SMPs have a huge number of segments and their thermomechanical behaviors are determined by heating history and cooperative relaxations (e.g., relaxation of all segments occurs simultaneously). In this study, a one-dimensional coupling model was proposed to investigate the cooperative dynamics of multiple glass transitions and thermomechanical behaviors of the SMPs. The overall relaxation behaviors of different tangled segments in the SMPs were formulated based on the Boltzmann's superposition principle by coupling the highest transition temperature (T-min) and initial transition temperature (T-max) of all segments. Dependences of thermomechanical properties and relaxation strains upon the parameters of T-max, T-min, relaxation time and heating rate were theoretically investigated. Multiple glass transitions, thermomechanical and shape memory behaviors of the SMPs have been well described using this newly proposed coupling model. Finally, the simulation results were compared with the experimental data, and good agreements between them were obtained.

【 授权许可】

Free   

【 预 览 】
附件列表
Files Size Format View
10_1016_j_polymer_2019_121785.pdf 3274KB PDF download
  文献评价指标  
  下载次数:7次 浏览次数:0次