Using the EAMR Method for Determining the Best Dressing Parameters in Surface Grinding Hardox 500

Abstract

The results of the multi-criteria decision-making (MCDM) method study on the optimal dressing mode selection for surface grinding Hardox 500 are presented in this work. The MCDM problem was solved in the study using the evaluation by area-based method of ranking (EAMR) methodology, and the weights of the criteria were estimated using the entropy method. Furthermore, the two criteria chosen for the inquiry were surface roughness (RS) and material removal rate (MRR). In addition, research was done on the five dressing parameters: rough dressing depth (T_r), rough dressing times (N_r), non-feeding dressing (N_non), fine dressing times (N_f ) and fine dressing depth (T_f). Additionally, 16 L16 (44x21) experimental runs were planned and carried out. The issue with MCDM has been resolved. The results of the analysis indicate that, given the input parameters T_r = 0.02 (mm), N_r = 1 (times), N_f = 1 (times), T_f = 0.01 (mm), and N_non = 2, option No. 5 is the optimal dressing regime.