Determination of Best Dressing Factors in Surface Grinding Hardox 500 using MAUT Method

This study reports the findings on the use of a multi-criteria decision-making (MCDM) method to determine the optimal dressing mode for surface grinding of Hardox 500. This study investigates three objectives: surface roughness (SR), material removal rate (MRR), and wheel life (Lw). Additionally, five dressing variables were analyzed: non-feeding dressing nn, fine dressing depth df, fine dressing times nf, rough dressing depth dr, and rough dressing times nr. The Multi-Attribute Utility Theory (MAUT) method was applied to solve the MCDM problem, and the Entropy technique was used to ascertain the criterion weights. Furthermore, 16 experimental runs were designed and conducted using the L16 (4^4 x 2^1) design type. The issue regarding MCDM has been assessed. The investigation's findings indicate that option No. 7, defined by the input parameters dr = 0.02 (mm), nr = 3, df = 0.05 (mm), nf = 3, and nn = 0, represents the optimal dressing mode.