Prediction model of surface roughness of selective laser melting formed parts based on back propagation neural network-Reference-Cited by-同舟云学术

Prediction model of surface roughness of selective laser melting formed parts based on back propagation neural network

Author:

Zhang Wang¹^ORCID,Luo Chunwang²,Ma Qingyuan³,Lin Zhenqiang¹,Yang Lan³,Zheng Jun¹^ORCID,Ge Xiaohong¹,Zhang Wei³,Liu Yuangang⁴,Tian Jumei⁵

Affiliation:

1. College of Materials Science and Engineering Xiamen University of Technology Xiamen China

2. College of Electrical Engineering and Automation Xiamen University of Technology Xiamen China

3. State Key Laboratory of Powder Metallurgy Central South University Changsha China

4. College of Chemical Engineering Huaqiao University Xiamen China

5. Xiamen Medical College Engineering Research Center of Fujian University for Stomatological Biomaterials Xiamen China

Funder

Natural Science Foundation of Hunan Province

Publisher

Wiley

Subject

General Medicine

Link

Reference21 articles.

3. Research of densification of 316L stainless steel powder in selective laser melting process;Sun TT;Laser Technol,2010

5. Cytocompatibility and electrochemical properties of Ti–au alloys for biomedical applications;Keun‐Taek O;J Biomed Mater Res,2007

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