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<p>Micro-electrical discharge machine is a precise and versatile technique for fabricating complex microstructures on titanium alloy. Selection of optimal machining parameters in micro-EDM is critical to achieve desired machining outcomes. In this paper, experimental trials are carried out in micro-EDM using different parameter combinations with 0.5&#xa0;mm Ø copper tool electrode on titanium alloy. The performance measures such as material removal rate, tool wear rate, hole taper, and hole overcut are considered as evaluation criteria. The experimental data are then used to construct decision matrices specific to each MCDM techniques such as COPRAS, MOORA, MAIRCA, and EAMR; then, the parameter sets are ranked and compared to determine the most optimal solution. Method based on the removal effects of criteria and entropy methods are utilized for weighing the criterion. Video measuring system and scanning electron microscopy were used to measure the produced micro-hole geometrical features and surface microstructure. Amongst all the utilized MCDM techniques, results proved that EAMR technique produced similar ranking with the above two weightage methods for the chosen input parameters in this process.</p>

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Studies on Different Multi-criteria Decision-Making Techniques in Micro-Electrical Discharge Machining of Titanium Alloy

  • 期刊论文

  • 发表日期：

    2025年5月8日

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  • R. Gunasekaran,
  • P. Hariharan,
  • B. Mouli Prasanth

摘要

Micro-electrical discharge machine is a precise and versatile technique for fabricating complex microstructures on titanium alloy. Selection of optimal machining parameters in micro-EDM is critical to achieve desired machining outcomes. In this paper, experimental trials are carried out in micro-EDM using different parameter combinations with 0.5 mm Ø copper tool electrode on titanium alloy. The performance measures such as material removal rate, tool wear rate, hole taper, and hole overcut are considered as evaluation criteria. The experimental data are then used to construct decision matrices specific to each MCDM techniques such as COPRAS, MOORA, MAIRCA, and EAMR; then, the parameter sets are ranked and compared to determine the most optimal solution. Method based on the removal effects of criteria and entropy methods are utilized for weighing the criterion. Video measuring system and scanning electron microscopy were used to measure the produced micro-hole geometrical features and surface microstructure. Amongst all the utilized MCDM techniques, results proved that EAMR technique produced similar ranking with the above two weightage methods for the chosen input parameters in this process.