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Article

Collaborative Optimization of Density and Surface Roughness of 316L Stainless Steel in Selective Laser Melting

by 1,2, 1,3,*, 1, 1,3,* and 1
1
Intelligent Manufacturing Key Laboratory of Ministry of Education, Shantou University, Shantou 515063, China
2
Digital Technology Research and Application Center, Shantou Polytechnic, Shantou 515078, China
3
Shantou Ray-Bonus Additive Manufacture Research Institute, Shantou 515063, China
*
Authors to whom correspondence should be addressed.
Materials 2020, 13(7), 1601; https://doi.org/10.3390/ma13071601
Received: 15 February 2020 / Revised: 25 March 2020 / Accepted: 26 March 2020 / Published: 1 April 2020
(This article belongs to the Special Issue Advances in Additive Manufacturing)
Although the concept of additive manufacturing has been proposed for several decades, momentum in the area of selective laser melting (SLM) is finally starting to build. In SLM, density and surface roughness, as the important quality indexes of SLMed parts, are dependent on the processing parameters. However, there are few studies on their collaborative optimization during SLM to obtain high relative density and low surface roughness simultaneously in the literature. In this work, the response surface method was adopted to study the influences of different processing parameters (laser power, scanning speed and hatch space) on density and surface roughness of 316L stainless steel parts fabricated by SLM. A statistical relationship model between processing parameters and manufacturing quality is established. A multi-objective collaborative optimization strategy considering both density and surface roughness is proposed. The experimental results show that the main effects of processing parameters on the density and surface roughness are similar. We observed that the laser power and scanning speed significantly affected the above objective quality, but the influence of the hatch spacing was comparatively low. Based on the above optimization, 316L stainless steel parts with excellent surface roughness and relative density can be obtained by SLM with optimized processing parameters. View Full-Text
Keywords: selective laser melting; 316L stainless steel; multi-objective optimization; relative density; surface roughness selective laser melting; 316L stainless steel; multi-objective optimization; relative density; surface roughness
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MDPI and ACS Style

Deng, Y.; Mao, Z.; Yang, N.; Niu, X.; Lu, X. Collaborative Optimization of Density and Surface Roughness of 316L Stainless Steel in Selective Laser Melting. Materials 2020, 13, 1601. https://doi.org/10.3390/ma13071601

AMA Style

Deng Y, Mao Z, Yang N, Niu X, Lu X. Collaborative Optimization of Density and Surface Roughness of 316L Stainless Steel in Selective Laser Melting. Materials. 2020; 13(7):1601. https://doi.org/10.3390/ma13071601

Chicago/Turabian Style

Deng, Yong, Zhongfa Mao, Nan Yang, Xiaodong Niu, and Xiangdong Lu. 2020. "Collaborative Optimization of Density and Surface Roughness of 316L Stainless Steel in Selective Laser Melting" Materials 13, no. 7: 1601. https://doi.org/10.3390/ma13071601

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