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Frontiers of Computer Science

Front. Comput. Sci.    2017, Vol. 11 Issue (2) : 347-357     DOI: 10.1007/s11704-016-6154-6
RESEARCH ARTICLE |
Optimizing product manufacturability in 3D printing
Yu HAN,Guozhu JIA()
School of Economics and Management, Beihang University, Beijing 100191, China
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Abstract

3D printing has become a promising technique for industry production. This paper presents a research on the manufacturability optimization of discrete products under the influence of 3D printing technology. For this, we first model the problem using a tree structure, and then formulate it as a linear integer programming, where the total production time is to be minimized with the production cost constraint. To solve the problem, a differential evolution (DE) algorithm is developed, which automatically determines whether traditional manufacturing methods or 3D printing technology should be used for each part of the production. The algorithm is further quantitatively evaluated on a synthetic dataset, compared with the exhaustive search and alternating optimization solutions. Simulation results show that the proposed algorithm can well combine the traditional manufacturing methods and 3D printing technology in production, which is helpful to attain optimized product design and process planning concerning manufacture time. Therefore, it is beneficial to provide reference of the widely application and further industrialization of the 3D printing technology.

Keywords 3D printing      manufacturability      optimization      discrete products      differential evolution algorithm     
Corresponding Authors: Guozhu JIA   
Just Accepted Date: 19 July 2016   Online First Date: 17 October 2016    Issue Date: 06 April 2017
 Cite this article:   
Yu HAN,Guozhu JIA. Optimizing product manufacturability in 3D printing[J]. Front. Comput. Sci., 2017, 11(2): 347-357.
 URL:  
http://journal.hep.com.cn/fcs/EN/10.1007/s11704-016-6154-6
http://journal.hep.com.cn/fcs/EN/Y2017/V11/I2/347
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Yu HAN
Guozhu JIA
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