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<p>For optimizing multiple objectives in various unconventional machining practices, techniques for multi-criteria decision making (MCDM) appear to be effective tools. Owing to its capacity to create intricate shape profiles and contours in various advanced engineering materials that possess a higher strength-to-weight ratio, as well as enhanced corrosion and wear resistance, wire-electrical discharge machining (WEDM) has become one of the most appropriate non-traditional material removal processes in contemporary manufacturing industries. Optimizing the WEDM process proves to be challenging due to the presence of multiple conflicting responses, the interactions among input parameters and their respective responses, and the differing levels of importance attributed to these responses. To address this challenge, this paper concentrates on the application of five MCDM methods focused on the WEDM of Nimonic-75 (Ni-75) alloy. The performance indicators considered include MRR (material removal rate), overcut (OC), and surface roughness (SR). The Logarithmic Percentage Change-driven objective Weighting (LOPCOW) method is employed to calculate the weight values for the quality attributes. Key MCDM techniques utilized to rank the alternatives include MAIRCA (Multi Attributive Ideal-Real Comparative Analysis), EAMR (Evaluation by an Area-based Method of Ranking), RAM (Root Assessment Method), COCOSO (Combined Compromise Solution), and PIV (Proximity Index Value). Subsequently, the results generated from different MCDM techniques are consolidated using Borda Count and Copeland ranking methods. From Borda and Copeland method it is found that test number 16 with input parameter settings On interval = 114 µs, Off interval = 51 µs, servo power = 20&#xa0;V, Highest current = 200 Amps, flex feed amount = 1&#xa0;m/min, and flex tension = 5 gm is best. This research not only compares MCDM results with rankings based on total scores but also highlights the importance of each criterion. Additionally, the study explores into the temporal dynamics of test rankings, offering insights into WEDM performance.</p>

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Optimizing WEDM of Nimonic-75 Via MCDM Techniques and Objective Weighting

  • 期刊论文

  • 发表日期：

    2026年2月14日

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  • Sachin Ashok Sonawane,
  • Pravin Ramchandra Kubade

摘要

For optimizing multiple objectives in various unconventional machining practices, techniques for multi-criteria decision making (MCDM) appear to be effective tools. Owing to its capacity to create intricate shape profiles and contours in various advanced engineering materials that possess a higher strength-to-weight ratio, as well as enhanced corrosion and wear resistance, wire-electrical discharge machining (WEDM) has become one of the most appropriate non-traditional material removal processes in contemporary manufacturing industries. Optimizing the WEDM process proves to be challenging due to the presence of multiple conflicting responses, the interactions among input parameters and their respective responses, and the differing levels of importance attributed to these responses. To address this challenge, this paper concentrates on the application of five MCDM methods focused on the WEDM of Nimonic-75 (Ni-75) alloy. The performance indicators considered include MRR (material removal rate), overcut (OC), and surface roughness (SR). The Logarithmic Percentage Change-driven objective Weighting (LOPCOW) method is employed to calculate the weight values for the quality attributes. Key MCDM techniques utilized to rank the alternatives include MAIRCA (Multi Attributive Ideal-Real Comparative Analysis), EAMR (Evaluation by an Area-based Method of Ranking), RAM (Root Assessment Method), COCOSO (Combined Compromise Solution), and PIV (Proximity Index Value). Subsequently, the results generated from different MCDM techniques are consolidated using Borda Count and Copeland ranking methods. From Borda and Copeland method it is found that test number 16 with input parameter settings On interval = 114 µs, Off interval = 51 µs, servo power = 20 V, Highest current = 200 Amps, flex feed amount = 1 m/min, and flex tension = 5 gm is best. This research not only compares MCDM results with rankings based on total scores but also highlights the importance of each criterion. Additionally, the study explores into the temporal dynamics of test rankings, offering insights into WEDM performance.