Application of SAW Technique for Finding the Best Dressing Mode for Surface Grinding Hardox 500

Abstract

This paper presents the findings from the multi-criteria decision-making (MCDM) approach study on selecting the best dressing mode (DM) for surface grinding (SG) Hardox 500. The study employed the Simple Additive Weighting (SAW) approach to solve the MCDM problem, and the Entropy method was utilized to estimate the weights of the criteria. Moreover, material removal rate (MRR) and surface roughness (RS) were selected as the two criteria for the investigation. Additionally, the five dressing parameters - fine dressing depth (Tf), rough dressing depth (Tr), rough dressing times (Nr), and non-feeding dressing (Nnon) - were investigated. 16 L16 (44x21) experimental runs were also designed and executed. For the first time, the MCDM for the SG process of Hardox 500 has been successfully solved using the SAW approach. From the results of the work, alternative No. 5 is the best option and the ideal input parameters (IP) of the dressing process were proposed.