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Open Access

Recent advances on 3D printing graphene-based composites

Haichang GuoRuicong LvShulin Bai( )
Department of Materials Science and Engineering, CAPT/HEDPS/LTCS, Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, College of Engineering, Peking University, Beijing, 100871, China
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Abstract

3D printing or additive manufacturing (AM) has revolutionized the way of manufacturing by designing complex structures in a customized feature which cannot be realized by traditional processing methods. Incoming materials are trying to adopt 3D printing techniques which directly fabricate sophisticated entities with multi-functionality like mechanical, electrical, thermal and magnetic properties etc. For the realization of advanced materials, 3D printing techniques are emerging from single material to composite materials manufacturing by simply introducing the nano- and micro-reinforcements with the matrix. In this review, we provide an outline of 3D printing graphene-based composites according to various AM techniques including fused deposition modeling (FDM), direct ink writing (DIW), stereolithography (SLA) and selective laser sintering (SLS). First a brief introduction of various AM techniques is given to get a basic understanding of the principles of 3D printing, and then the fabrication process, structural characteristics and applications of different 3D printing techniques for graphene-based composites are summarized. In addition, some effective simulation and characterization methods are also included. We hope that this review would clarify the potential of AM techniques for composite materials and can open new prospects for designing of novel materials.

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Nano Materials Science
Pages 101-115

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Cite this article:
Guo H, Lv R, Bai S. Recent advances on 3D printing graphene-based composites. Nano Materials Science, 2019, 1(2): 101-115. https://doi.org/10.1016/j.nanoms.2019.03.003

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Received: 27 March 2019
Accepted: 19 April 2019
Published: 01 June 2019
© 2019 Chongqing University. Production and hosting by Elsevier B.V. on behalf of KeAi.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).