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.
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June 2019
Research-Article
Challenges and Status on Design and Computation for Emerging Additive Manufacturing Technologies
Yuen-Shan Leung,
Yuen-Shan Leung
Epstein Department of Industrial
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
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Tsz-Ho Kwok,
Tsz-Ho Kwok
Department of Mechanical,
Industrial and Aerospace Engineering,
Concordia University,
Montreal, QC H3G 1M8, Canada
Industrial and Aerospace Engineering,
Concordia University,
Montreal, QC H3G 1M8, Canada
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Xiangjia Li,
Xiangjia Li
Epstein Department of Industrial
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
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Yang Yang,
Yang Yang
Epstein Department of Industrial
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
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Charlie C. L. Wang,
Charlie C. L. Wang
Department of Mechanical
and Automation Engineering,
The Chinese University of Hong Kong,
Shatin, Hong Kong, China
and Automation Engineering,
The Chinese University of Hong Kong,
Shatin, Hong Kong, China
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Yong Chen
Yong Chen
Epstein Department of Industrial
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
Search for other works by this author on:
Yuen-Shan Leung
Epstein Department of Industrial
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
Tsz-Ho Kwok
Department of Mechanical,
Industrial and Aerospace Engineering,
Concordia University,
Montreal, QC H3G 1M8, Canada
Industrial and Aerospace Engineering,
Concordia University,
Montreal, QC H3G 1M8, Canada
Xiangjia Li
Epstein Department of Industrial
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
Yang Yang
Epstein Department of Industrial
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
Charlie C. L. Wang
Department of Mechanical
and Automation Engineering,
The Chinese University of Hong Kong,
Shatin, Hong Kong, China
and Automation Engineering,
The Chinese University of Hong Kong,
Shatin, Hong Kong, China
Yong Chen
Epstein Department of Industrial
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
1Corresponding author.
Contributed by the Computers and Information Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received May 7, 2018; final manuscript received October 29, 2018; published online March 18, 2019. Assoc. Editor: Rahul Rai.
J. Comput. Inf. Sci. Eng. Jun 2019, 19(2): 021013 (21 pages)
Published Online: March 18, 2019
Article history
Received:
May 7, 2018
Revised:
October 29, 2018
Citation
Leung, Y., Kwok, T., Li, X., Yang, Y., Wang, C. C. L., and Chen, Y. (March 18, 2019). "Challenges and Status on Design and Computation for Emerging Additive Manufacturing Technologies." ASME. J. Comput. Inf. Sci. Eng. June 2019; 19(2): 021013. https://doi.org/10.1115/1.4041913
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