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Topical Review | Open Access

Digital light processing based multimaterial 3D printing: challenges, solutions and perspectives

Jianxiang Cheng1,2Shouyi Yu1,2Rong Wang1,2( )Qi Ge1,2 ( )
Shenzhen Key Laboratory of Soft Mechanics & Smart Manufacturing, Southern University of Science and Technology, Shenzhen 518055, People’s Republic of China
Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen 518055, People’s Republic of China
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Abstract

Multimaterial (MM) 3D printing shows great potential for application in metamaterials, flexible electronics, biomedical devices and robots, since it can seamlessly integrate distinctive materials into one printed structure. Among numerous MM 3D printing technologies, digital light processing (DLP) MM 3D printing is compatible with a wide range of materials from hydrogels to ceramics, and can print MM 3D structures with high resolution, high complexity and fast speed. This paper introduces the fundamental mechanisms of DLP 3D printing, and reviews the recent advances of DLP MM 3D printing technologies with emphasis on material switching methods and material contamination issues. It also summarizes a number of typical examples of DLP MM 3D printing systems developed in the past decade, and introduces their system structures, working principles, material switching methods, residual resin removal methods, printing steps, as well as the representative structures and applications. Finally, we provide perspectives on the directions of the further development of DLP MM 3D printing technology.

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International Journal of Extreme Manufacturing
Article number: 042006

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Cite this article:
Cheng J, Yu S, Wang R, et al. Digital light processing based multimaterial 3D printing: challenges, solutions and perspectives. International Journal of Extreme Manufacturing, 2024, 6(4): 042006. https://doi.org/10.1088/2631-7990/ad4a2c

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Received: 01 September 2023
Revised: 01 February 2024
Accepted: 10 May 2024
Published: 28 May 2024
© 2024 The Author(s).

Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.