scholarly journals Prediction of powder bed thickness by spatter detection from coaxial optical images in selective laser melting of 316L stainless steel

2022 ◽  
Vol 213 ◽  
pp. 110301
Author(s):  
Weihao Zhang ◽  
Honglin Ma ◽  
Qi Zhang ◽  
Shuqian Fan
2017 ◽  
Vol 164 (6) ◽  
pp. C250-C257 ◽  
Author(s):  
G. Sander ◽  
S. Thomas ◽  
V. Cruz ◽  
M. Jurg ◽  
N. Birbilis ◽  
...  

2011 ◽  
Vol 189-193 ◽  
pp. 3664-3667 ◽  
Author(s):  
Sheng Zhang ◽  
Qing Song Wei ◽  
Guang Ke Lin ◽  
Xiao Zhao ◽  
Yu Sheng Shi

316L stainless steel parts were manufactured via selective laser melting . This work stu- dies the effects of powder characteristics such as particle size and particle shape composition on the density. It shows that the powder with a broad size distribution and using spherical fine powder can lead to an increase in the density of the loose powder and thus the densification of the laser melted powder. The aerosol powder forms parts of lower oxygen content well, and the density can reach to 90%.


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