A novel BWM integrated MABAC decision-making approach to optimize the wear parameter of CrN/TiAlSiN coating

Using a multi-criteria decision-making (MCDM) method combined with Taguchi ($ L_{16} $) design of experiment, the wear parameter for CrN/TiAlSiN coated hardened DAC-10 tool steel is optimized. Temperature, sliding velocity, applied load, and distance together forms parameter. Wear rate, friction coefficient, surface roughness, depth, worn hardness were all tested to see how it affected by parameters. The criteria weight was derived using best-worst (BWM) Multi-Attributive Border Approximation area Comparison (MABAC) approach rank alternatives. obtained data then subjected sensitivity testing three-phase techniques. suggested MCDM technique validated through phases analysis, alternative $ {WP}_6 (T = 100 ^{\circ} $C, Sv 0.05 m/s, L 5 N, Sd 2000 m) showing as best alternative. Furthermore, proposed BWM-MABAC on previously published outcomes, results showed an excellent correlation between present past studies, coefficient value greater than 0.99.