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Author:

Liu, Li-Ya (Liu, Li-Ya.) | Yang, Qing-Sheng (Yang, Qing-Sheng.) (Scholars:杨庆生)

Indexed by:

EI Scopus

Abstract:

Graphene considered as an ideal reinforcement for metal matrix composites (MMCs) because of its excellent optical, electrical and mechanical properties has important application prospects in materials science, micro-nano processing and so on. Meanwhile, additive manufactured MMCs becomes the hotspot of current research due to the advantages of precise and controllable structure and easy implementation of modularization. In this paper, a two-dimensional rate-dependent crystal plasticity model using the numerical model is developed to simulate the mechanical behaviors of additive manufactured graphene-reinforced aluminium matrix composites (AMCs) under tensile load in a mesoscale. The mechanical properties are described by varying the volume fractions and distribution patterns of graphene. The results verify that graphene is the main load-bearing part of AMCs. The volume fraction and distribution pattern of graphene play an important role in the crystal dislocation strengthening of AMCs. Moreover, it is proved that the additive manufactured graphene-reinforced AMCs have a potential improvement with increased graphene volume fraction and optimized geometric graphene parameters. © Published under licence by IOP Publishing Ltd.

Keyword:

Volume fraction Reinforcement Plasticity Metallic matrix composites Modular construction Additives Crystals Aluminum Polymer matrix composites Graphene 3D printers

Author Community:

  • [ 1 ] [Liu, Li-Ya]Department of Engineering Mechanics, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Yang, Qing-Sheng]Department of Engineering Mechanics, Beijing University of Technology, Beijing; 100124, China

Reprint Author's Address:

  • 杨庆生

    [yang, qing-sheng]department of engineering mechanics, beijing university of technology, beijing; 100124, china

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Source :

ISSN: 1757-8981

Year: 2019

Issue: 1

Volume: 531

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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