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In this study, a novel approach combining DEMATEL and TOPSIS methods is proposed for the multi-objective optimization of milling parameters in the machining of A7075 aluminum alloy. The machining parameters, including cutting depth (t), feed rate (S), and cutting speed (V), were analyzed to optimize surface roughness (Ra) and tool wear (ΔHs). DEMATEL was employed to determine the interrelationships and influence levels among the criteria, resulting in weights of 0.2679, 0.3874, and 0.3447 for t, S, and V respectively. Using these weights, the TOPSIS method was applied to rank the machining alternatives. The results identified the optimal combination of machining parameters as a cutting depth of 0.5 mm, a feed rate of 800 mm/min, and a cutting speed of 376 m/min. This combination yielded a surface roughness (Ra) of 0.2702 and a tool wear (ΔHs) of 11.510 µm. The high relative closeness value of 0.76 for the best alternative demonstrates the effectiveness of the proposed DEMATEL-TOPSIS approach in optimizing machining processes. This method not only identifies the optimal parameters but also ensures balanced optimization across all criteria.

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A Novel Approach for Multi-objective Optimization of Surface Roughness and Tool Wear Using DEMATEL-TOPSIS

  • 会议论文

  • 发表日期：

    2025年

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  • Van-Canh Nguyen,
  • Thuy-Duong Nguyen,
  • Le Nhu Trang

摘要

In this study, a novel approach combining DEMATEL and TOPSIS methods is proposed for the multi-objective optimization of milling parameters in the machining of A7075 aluminum alloy. The machining parameters, including cutting depth (t), feed rate (S), and cutting speed (V), were analyzed to optimize surface roughness (Ra) and tool wear (ΔHs). DEMATEL was employed to determine the interrelationships and influence levels among the criteria, resulting in weights of 0.2679, 0.3874, and 0.3447 for t, S, and V respectively. Using these weights, the TOPSIS method was applied to rank the machining alternatives. The results identified the optimal combination of machining parameters as a cutting depth of 0.5 mm, a feed rate of 800 mm/min, and a cutting speed of 376 m/min. This combination yielded a surface roughness (Ra) of 0.2702 and a tool wear (ΔHs) of 11.510 µm. The high relative closeness value of 0.76 for the best alternative demonstrates the effectiveness of the proposed DEMATEL-TOPSIS approach in optimizing machining processes. This method not only identifies the optimal parameters but also ensures balanced optimization across all criteria.