Determining Best Dressing Factors in Surface Grinding Hardox 500 Using MABAC Technique

Abstract

This paper presents the results on the application of the multi-criteria decision-making (MCDM) method for selecting the optimal dressing mode for surface grinding of Hardox 500. The study addressed the MCDM problem through the application of the Multi-Attributive Border Approximation Area Comparison (MABAC) method, with criterion weights established via Method Based on the Removal Effects of Criteria (MEREC) method. Additionally, surface roughness (RS) and material removal rate (MRR) were selected as the two criteria for the current study. Also, five dressing variables were analyzed: non-feeding dressing n_n, fine dressing depth d_f, fine dressing times n_f, rough dressing depth d_r, and rough dressing times n_r. Moreover, 16 experimental runs (design’s type L16 (4⁴x2¹)) were designed and executed. The problem concerning MCDM has been addressed. The investigation's findings suggest that option No. 5, characterized by the input parameters d_r = 0.02 mm, n_r = 1, n_f = 1, d_f = 0.01 mm, and n_n = 2, represents the optimal dressing mode.