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Challenges and Status on Design and Computation for Emerging Additive Manufacturing Technologies

Title:

Challenges and Status on Design and Computation for Emerging Additive Manufacturing Technologies

Leung, Yuen-Shan, Kwok, Tsz-Ho ORCID: https://orcid.org/0000-0001-7240-1426, Li, Xiangjia, Yang, Yang, Wang, Charlie C. L. and Chen, Yong (2019) Challenges and Status on Design and Computation for Emerging Additive Manufacturing Technologies. Journal of Computing and Information Science in Engineering, 19 (2). ISSN 1530-9827

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Official URL: http://dx.doi.org/10.1115/1.4041913

Abstract

The revolution of additive manufacturing (AM) has led to many opportunities in fabricating complex and novel products. The increase of printable materials and the emergence of novel fabrication processes continuously expand the possibility of engineering systems in which product components are no longer limited to be single material, single scale, or single function. In fact, a paradigm shift is taking place in industry from geometry-centered usage to supporting functional demands. Consequently, engineers are expected to resolve a wide range of complex and difficult problems related to functional design. Although a higher degree of design freedom beyond geometry has been enabled by AM, there are only very few computational design approaches in this new AM-enabled domain to design objects with tailored properties and functions. The objectives of this review paper are to provide an overview of recent additive manufacturing developments and current computer-aided design methodologies that can be applied to multimaterial, multiscale, multiform, and multifunctional AM technologies. The difficulties encountered in the computational design approaches are summarized and the future development needs are emphasized. In the paper, some present applications and future trends related to additive manufacturing technologies are also discussed.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical, Industrial and Aerospace Engineering
Item Type:Article
Refereed:Yes
Authors:Leung, Yuen-Shan and Kwok, Tsz-Ho and Li, Xiangjia and Yang, Yang and Wang, Charlie C. L. and Chen, Yong
Journal or Publication:Journal of Computing and Information Science in Engineering
Date:18 March 2019
Funders:
  • National Science Foundation (NSF)
  • Daniel J. Epstein Institute
Digital Object Identifier (DOI):10.1115/1.4041913
ID Code:985962
Deposited By: TSZ HO KWOK
Deposited On:11 Feb 2020 17:01
Last Modified:11 Feb 2020 17:01
Additional Information:© ASME
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