Parametric Optimization of Multicomponent Laser Surface Alloying of AISI 316L Stainless Steel using Taguchi’s Grey Relational Analysis
摘要
This study concerns the optimization of process parameters for laser surface alloying (using a 6.6 kW continuous wave diode laser) of AISI 316L stainless steel with three distinct multicomponent systems: CoCrFeMnTi, CoCrFeMnTiC, and CoCrFeMnTiSi using Taguchi’s Grey Relational Analysis (GRA). Followed by LSA, a detailed study of microstructure, microhardness, Young’s modulus, elastic energy, plastic energy absorbed during nanoindentation, wear rate, and corrosion rate was undertaken. The ideal process parameters for LSA derived from the analysis were 1800 W laser power and 6 mm/s scan speed for CoCrFeMnTi, 2200 W laser power and 8 mm/s scan speed for CoCrFeMnTiC, and 2000 W laser power and 8 mm/s scan speed for CoCrFeMnTiSi. The study underscores the effectiveness of GRA in multi-response optimization and the critical role of alloying composition and laser parameters in tailoring surface integrity and multifunctional performance of laser surface alloyed AISI 316L stainless steel.