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作者:

Zhang, Xue-Jiao (Zhang, Xue-Jiao.) | Yang, Qing-Sheng (Yang, Qing-Sheng.) (学者:杨庆生) | Leng, Jin-Song (Leng, Jin-Song.)

收录:

EI SCIE

摘要:

Poly(l-lactide-co-epsilon-caprolactone) is an environment-friendly shape memory polymer. Molecular dynamics method was used to study the shape memory effect and mechanical properties of graphene oxide-reinforced poly(l-lactide-co-epsilon-caprolactone) to understand the microscopic mechanism. Two models containing dispersed graphene oxide were constructed. It is shown that the addition of graphene oxide causes the glass transition temperature of material to rise because of limitation on polymer activity. The uniaxial tensile properties of the composites were studied. The results exhibited that strength of composites depend on the interface state of the polymer and graphene oxide. The strength of the composite with covalent bond is much higher than that of another without the covalent bond between graphene oxide and poly(l-lactide-co-epsilon-caprolactone) generated. Stress softening effect was observed in the cross-linked composite in the glass state. Their uniaxial tension thermodynamic cycles were carried out to consider the shape memory effect of the composites. It is shown that graphene oxide-reinforced composites with different interactions exhibit fair shape memory effect in the direction of paralleling graphene oxide surface. In terms of the direction perpendicular to graphene oxide sheet, the fixed ratios of the composites decrease slightly about 1.64%-3.63%, and the recovery ratios of the composites with the covalent bond are higher than others about 3.22%-12.93%.

关键词:

covalent bond graphene oxide molecular dynamics shape memory effect shape memory polymer composites

作者机构:

  • [ 1 ] [Zhang, Xue-Jiao]Beijing Univ Technol, Dept Engn Mech, Beijing 100124, Peoples R China
  • [ 2 ] [Yang, Qing-Sheng]Beijing Univ Technol, Dept Engn Mech, Beijing 100124, Peoples R China
  • [ 3 ] [Leng, Jin-Song]Beijing Univ Technol, Dept Engn Mech, Beijing 100124, Peoples R China
  • [ 4 ] [Leng, Jin-Song]Harbin Inst Technol, Ctr Composite Mat & Struct, Harbin, Peoples R China

通讯作者信息:

  • 杨庆生

    [Yang, Qing-Sheng]Beijing Univ Technol, Dept Engn Mech, Beijing 100124, Peoples R China

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来源 :

JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES

ISSN: 1045-389X

年份: 2020

期: 18

卷: 31

页码: 2152-2164

2 . 7 0 0

JCR@2022

ESI学科: MATERIALS SCIENCE;

ESI高被引阀值:37

JCR分区:3

被引次数:

WoS核心集被引频次: 5

SCOPUS被引频次: 8

ESI高被引论文在榜: 0 展开所有

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