Effects of geometrical characteristics on defect distributions in alloy components produced by selective laser melting

• Published in: China foundry Vol. 18; no. 4; pp. 369 - 378
• Main Authors: Cai, Yao, Lu, Tao, Ma, Gui-dian, Li, Wang, Pan, Ye, Ding, Hui
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.07.2021; Foundry Journal Agency; School of Materials Science and Engineering,Southeast University,Jiangsu Key Laboratory of Advanced Metallic Materials,Nanjing 211189,China%Nanjing Chamlion Laser Technology Co.,Ltd,Nanjing 210039,China
• Subjects: Degassing of metals; Engineering; Heat resistant alloys; Machines; Manufacturing; Materials Engineering; Metallic Materials; Metals; Nickel alloys; Processes; Research & Development; Specialty metals industry; Steel, Stainless; TG142.71/146.21/146.1; A; defect; AlSi10Mg; formability; Inconel 718; 5; selective laser melting; 316L stainless steel; geometrical characteristics
• ISSN: 1672-6421; 2365-9459
• DOI: 10.1007/s41230-021-1048-0

Selective laser melting (SLM) has been applied to manufacture various alloy components with excellent properties, but its further application is restricted by the intrinsic defects. In this work, the internal defect distributions in samples of three alloys (316L stainless steel, AlSi10Mg and Inconel 718) were investigated respectively, considering the effects of geometrical characteristics of the samples. The defects in the 316L stainless steel sample tend to be formed densely in the central part with large wall thickness, indicating a strong sensitivity to heat accumulation. Contrarily, the Inconel 718 sample shows a higher relative density with homogeneous defect distribution, indicating better formability for the SLM process. For the AlSi10Mg sample, the defect density keeps increasing as the deposition goes on. Typically, the defect density located at sample edges shows an abnormally high level comparing with the inner part, especially in the top sections of AlSi10Mg and Inconel 718 samples. The results are helpful for the geometrical design, the adjustment of building orientation and the further optimization of process parameters in the SLM process.