Application of Multi Criteria Decision Making Methods for the Determination of the Best Dressing Factors for Surface Grinding Hardox 500
Received: 8 November 2024 | Revised: 25 December 2024 | Accepted: 29 December 2024 | Online: 2 February 2025
Corresponding author: Luu Anh Tung
Abstract
This study applies Multi-Criteria Decision-Making (MCDM) methods to identify the optimal dressing parameters for the surface grinding of Hardox 500 steel. The investigation focuses on three key objectives: Surface Roughness (SR), Material Removal Rate (MRR), and Wheel lifespan (Lw). Five dressing variables were considered: non-feeding dressing (nn), fine dressing depth (df), fine dressing times (nf), rough dressing depth (dr), and rough dressing times (nr). Three MCDM methods—Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS), Simple Additive Weighting (SAW), and Evaluation based on Distance from Average Solution (EDAS)—were employed to solve the MCDM problem. Additionally, the Entropy technique was used to determine the criterion weights. A total of 16 experimental runs were conducted based on the L16 (44 x 21) design configuration. The analysis identified Option 7 as the optimal dressing mode, characterized by the input parameters: dr = 0.02 mm, nr = 3 times, df = 0.05 mm, nf = 3 times, and nn = 0. To validate the consistency of rankings obtained from the three MCDM methods, the Spearman’s rank correlation coefficient (R) was employed. The results demonstrated a strong correlation among the rankings, confirming the reliability of the proposed approach. These findings provide a robust framework for optimizing surface grinding parameters to enhance performance and productivity.
Keywords:
surface grinding, Hardox 500, MARCOS, SAW, EDAS, entropy method, surface roughness, material removal rate, wheel lifeDownloads
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Copyright (c) 2025 Luu Anh Tung, Le Duc Bao, Vu Duc Binh, Dinh Van Thanh, Nguyen Thanh Tu
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