Process Parameter Optimization and Surface Quality–Performance Relationship in Selective Laser Melting of 17-4PH Stainless Steel
摘要
This research investigates fatigue-related challenges in the selective laser melting (SLM) fabrication of 17-4PH stainless steel traction rods intended for rail transit applications. To reduce process-induced defects, laser energy density (LED) is utilized as a comprehensive parameter integrating various processing conditions, with optimal settings identified through second-order regression analysis. A correlation framework linking processing parameters, microstructure, and material properties is developed using three-dimensional microstructural reconstruction alongside extensive mechanical testing. Under optimized processing conditions (220 W laser power, 800 mm/s scanning speed, 0.05 mm hatch spacing, and 0.13 mm layer thickness), a relative density of 99.6% is attained, accompanied by improvements in tensile strength and fatigue life of 9.2% and 40%, respectively. Microstructural investigations highlight the critical influence of melt pool morphology on defect formation and evolution. An optimal LED range of 40–50 J/mm3 is established, offering quantitative guidance for the additive manufacturing of high-performance, load-bearing components.