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Optimization of EDM parameters for enhanced machining of X37CrMoV5-1 tool steel using taguchi method and regression
Kapil Surani1, Hiteshkumar Patel1, Chandrakant Sonawane2
1Mechanical Engineering Department, Gujarat Technological University-Institute of Technology & Research, Mehsana, Gujarat, 384460, India.
Abstract:
Electrical Discharge Machining (EDM) is a vital non-traditional process for shaping hard-to-machine alloys used in precision tooling applications. This study experimentally investigates the machining performance of X37CrMoV5-1 tool steel under varying EDM parameters: peak current (Ip), pulse-on time (Ton), duty cycle (DC), and gap voltage (Vg). Experiments were conducted using the Taguchi L9 orthogonal array, and regression models were developed to predict Material Removal Rate (MRR) and Tool Wear Rate (TWR). The results revealed that peak current had the most dominant influence on both responses, contributing approximately 64.3% to MRR and 57.8% to TWR variation. The optimal parameters for maximizing MRR were found to be IP = 9 A, TON = 155 µs, DC = 28%, and Vg = 50 V., while the optimal conditions for minimizing TWR were IP = 3 A, TON = 210 µs, DC = 19%, and Vg = 50 V. The machining conditions achieved an MRR of 5.8538 mm3/min and a TWR of 0.0535 mm3/min, representing a 27.5% improvement in MRR and 21.3% reduction in TWR compared to previously reported studies on similar tool steels. The regression models showed high accuracy with R2 values exceeding 0.987, confirming their suitability for performance prediction. Overall, the study demonstrates that controlled adjustment of Ip and Ton significantly enhances EDM efficiency for X37CrMoV5-1 tool steel.
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