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作者:

Zhang, Xue-Jiao (Zhang, Xue-Jiao.) | Yang, Qing-Sheng (Yang, Qing-Sheng.) (学者:杨庆生) | Shang, Jun-Jun (Shang, Jun-Jun.) | Liu, Xia (Liu, Xia.) | Leng, Jin-song (Leng, Jin-song.)

收录:

EI SCIE

摘要:

In this paper, an atomistic investigation was performed to reveal the dependence of the graphene content on the shape memory effect of the multilayer graphene reinforced poly (L-lactide-co-e-caprolactone). Uniaxial compression deformation was carried out to show the shape memory effect of the graphene composites. The temperature response of the composites was obtained during shape recovery. It is observed that the composites with higher graphene content exhibit larger recovery ratio and are more sensitive to temperature during a gradual warming recovery. The graphene composites show good reusable properties and the shape of composites is able to fully recover by constant temperature recovery tests. Especially, the graphene of the composite was subjected to a separate heating test to check the role of the graphene in shape recovery of the composite, where electro-induced indirect heating was qualitatively simulated. It is shown that the recovery first appeared in composites with the most content of graphene. The polymer will have a temperature hysteresis compared with graphene in composites. The shape recovery trajectory of graphene and the evolution of the interaction between graphene and polymers during the process of shape memory were clearly presented to reveal the mechanism how graphene promotes the performance of shape memory. This research can provide a guidance for obtaining composite materials with ideal shape memory effect.

关键词:

atomistic simulation graphene content layered structures polymer composites shape memory effect

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 ] [Shang, Jun-Jun]Beijing Univ Technol, Dept Engn Mech, Beijing 100124, Peoples R China
  • [ 4 ] [Liu, Xia]Beijing Univ Technol, Dept Engn Mech, Beijing 100124, Peoples R China
  • [ 5 ] [Leng, Jin-song]Beijing Univ Technol, Dept Engn Mech, Beijing 100124, Peoples R China
  • [ 6 ] [Leng, Jin-song]Harbin Inst Technol, Ctr Composite Mat & Struct, Harbin 150001, 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 :

SMART MATERIALS AND STRUCTURES

ISSN: 0964-1726

年份: 2021

期: 5

卷: 30

4 . 1 0 0

JCR@2022

ESI学科: MATERIALS SCIENCE;

ESI高被引阀值:8

被引次数:

WoS核心集被引频次: 1

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

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