LAUSR

Coatings are used to increase the surface quality of cutting tools, metal forming stamping, punching tool, plastic injection molding, sliding engine components for automobiles or decorative applications. Many parameters affect the manufacturing performance. Chromium nitride is frequently used for metal forming, plastic molding, medical implants and cutting tools because it has a low coefficient of friction, high hardness and good thermal stability. Optimizing multiattribute characteristics (MACs) requires experience but is crucial to the manufacturing process. This study uses a combination of entropy and range of value methods to optimize MACs to minimize surface roughness ( E 1 ), flank wear ( E 2 ) and hardness ( E 3 ) for CrWN hard film tools that are used for turning AISI 304 stainless steel. And the results are compared with those for grey relational analysis (GRA). The L 9 Taguchi experimental data are used to rank the coating configurations (alternatives) for each experimental test, and a decision matrix is initially defined. The results show that flank wear ( E 2 ) has the greatest effect on the outputs. Combination F 9 ( A 3 B 3 C 2 D 1 ) ranks highest of the coating configurations and the value is the same as that which is calculated using GRA. The proposed method features a relatively simple computational procedure and can be easily used by a technicians or engineers to optimize MACs for real manufacturing practices and environments.