Additive manufacturing, also known as three-dimensional (3D) printing, enables production of complex customized shapes without requiring specialized tooling and fixture, and mass customization can then be realized with larger adoption. The slicing procedure is one of the fundamental tasks for 3D printing, and the slicing resolution has to be very high for fine fabrication, especially in the recent developed continuous liquid interface production (CLIP) process. The slicing procedure is then becoming the bottleneck in the prefabrication process, which could take hours for one model. This becomes even more significant in mass customization, where hundreds or thousands of models have to be fabricated. We observe that the customized products are generally in a same homogeneous class of shape with small variation. Our study finds that the slicing information of one model can be reused for other models in the same homogeneous group under a properly defined parameterization. Experimental results show that the reuse of slicing information has a maximum of 50 times speedup, and its utilization is dropped from more than 90% to less than 50% in the prefabrication process.
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June 2017
Research-Article
Mass Customization: Reuse of Digital Slicing for Additive Manufacturing
Tsz-Ho Kwok,
Tsz-Ho Kwok
Epstein Department of Industrial
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
e-mail: tszhokwo@usc.edu
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
e-mail: tszhokwo@usc.edu
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Hang Ye,
Hang Ye
Department of Industrial
and Systems Engineering,
University at Buffalo,
The State University of New York,
Buffalo, NY 14260
e-mail: hye2@buffalo.edu
and Systems Engineering,
University at Buffalo,
The State University of New York,
Buffalo, NY 14260
e-mail: hye2@buffalo.edu
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Yong Chen,
Yong Chen
Epstein Department of Industrial
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
e-mail: yongchen@usc.edu
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
e-mail: yongchen@usc.edu
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Chi Zhou,
Chi Zhou
Department of Industrial
and Systems Engineering,
University at Buffalo,
The State University of New York,
Buffalo, NY 14260
e-mail: chizhou@buffalo.edu
and Systems Engineering,
University at Buffalo,
The State University of New York,
Buffalo, NY 14260
e-mail: chizhou@buffalo.edu
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Wenyao Xu
Wenyao Xu
Department of Computer
Science and Engineering,
University at Buffalo,
The State University of New York,
Buffalo, NY 14260
e-mail: wenyaoxu@buffalo.edu
Science and Engineering,
University at Buffalo,
The State University of New York,
Buffalo, NY 14260
e-mail: wenyaoxu@buffalo.edu
Search for other works by this author on:
Tsz-Ho Kwok
Epstein Department of Industrial
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
e-mail: tszhokwo@usc.edu
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
e-mail: tszhokwo@usc.edu
Hang Ye
Department of Industrial
and Systems Engineering,
University at Buffalo,
The State University of New York,
Buffalo, NY 14260
e-mail: hye2@buffalo.edu
and Systems Engineering,
University at Buffalo,
The State University of New York,
Buffalo, NY 14260
e-mail: hye2@buffalo.edu
Yong Chen
Epstein Department of Industrial
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
e-mail: yongchen@usc.edu
and Systems Engineering,
University of Southern California,
Los Angeles, CA 90089
e-mail: yongchen@usc.edu
Chi Zhou
Department of Industrial
and Systems Engineering,
University at Buffalo,
The State University of New York,
Buffalo, NY 14260
e-mail: chizhou@buffalo.edu
and Systems Engineering,
University at Buffalo,
The State University of New York,
Buffalo, NY 14260
e-mail: chizhou@buffalo.edu
Wenyao Xu
Department of Computer
Science and Engineering,
University at Buffalo,
The State University of New York,
Buffalo, NY 14260
e-mail: wenyaoxu@buffalo.edu
Science and Engineering,
University at Buffalo,
The State University of New York,
Buffalo, NY 14260
e-mail: wenyaoxu@buffalo.edu
1Corresponding author.
Contributed by the Design Engineering Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received May 6, 2016; final manuscript received June 20, 2016; published online February 16, 2017. Assoc. Editor: Xiaoping Qian.
J. Comput. Inf. Sci. Eng. Jun 2017, 17(2): 021009 (8 pages)
Published Online: February 16, 2017
Article history
Received:
May 6, 2016
Revised:
June 20, 2016
Citation
Kwok, T., Ye, H., Chen, Y., Zhou, C., and Xu, W. (February 16, 2017). "Mass Customization: Reuse of Digital Slicing for Additive Manufacturing." ASME. J. Comput. Inf. Sci. Eng. June 2017; 17(2): 021009. https://doi.org/10.1115/1.4034010
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