Selective Laser Melting of Stainless-Steel: A Review of Process, Microstructure, Mechanical Properties and Post-Processing treatments

被引:16
作者
Sghaier, Thabet A. M. [1 ]
Sahlaoui, Habib [1 ]
Mabrouki, Tarek [2 ]
Sallem, Haifa [3 ]
Rech, Joel [4 ]
机构
[1] Univ Tunis UT, Natl High Sch Engn Tunis ENSIT, Lab Mech Mat & Proc LMMP LR 99ES05, 5 Ave Taha Hussein,BP 56, Tunis 1008, Tunisia
[2] Univ Tunis El Manar, Natl Engn Sch Tunis ENIT, Appl Mech & Engn Lab LMAI LR 11ES19, BP 37, Tunis 1002, Tunisia
[3] Univ Appl Sci Western Switzerland HES SO, HEI VS, Sion, Switzerland
[4] Univ Lyon, Ecole Cent Lyon, ENISE, LTDS,UMR CNRS 5513, 58 Rue Jean Parot, F-42000 St Etienne, France
关键词
Additive Manufacturing; Selective Laser Melting; Stainless Steel; Process parameters; Microstructure; Mechanical properties; PROCESS PARAMETERS; HEAT-TREATMENT; PARTS; AUSTENITE; EVOLUTION; BEHAVIOR; TEMPERATURE; INCLUSIONS; POROSITY; TENSILE;
D O I
10.1007/s12289-023-01769-w
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Additive Manufacturing (AM) using Selective Laser Melting (SLM) has gained significant prominence across various industries involved in stainless steel part manufacturing. Selective Laser Melting makes it possible to manufacture parts with very complex geometry and with remarkable mechanical and physicochemical properties by controlling the microstructure via the appropriate choice of process parameters. This study presents a comprehensive literature review aiming to provide the scientific and technical communities with an overview of existing knowledge and experimental data regarding the effects of Selective Laser Melting parameters and conditions on the microstructure and mechanical properties of stainless-steel parts. The objective is to highlight the impact of various factors, such as process parameters, building atmosphere, post-heat treatments and initial powder characteristics on phase transformation, porosity and microcracks formation, microstructure evolution and mechanical properties of SLMed stainless steels. Additionally, the integration of emerging Smart Additive Manufacturing (SAM) requires experimental databases, properties prediction and processing parameters optimization to enhance the entire process spanning from design to final product.
引用
收藏
页数:12
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