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This article presents research findings on the optimal process factors for Electrical Discharge Machining (EDM) of 90CrSi using graphite electrodes. This study employed a Multi-Criteria Decision Making (MCDM) methodology to manufacture cylindrical-shaped parts using the EDM process and different types of graphite as the electrode material. The MCDM problem had been solved utilizing the Simple Additive Weighting (SAW) technique, and the criteria weights were computed employing the Entropy method. Furthermore, the two criteria employed for inquiry were electrode wear rate (EWR) and material removal rate (MRR). Additionally, the study investigated five process factors: servo voltage (SV), servo current (IP), pulse on time (Ton), pulse off time (Toff), and graphite type (TOG). Furthermore, the experiment was formulated and the results were evaluated using the Taguchi method in the Minitab R19 program. In addition, the experiment utilized the L18 (61 + 34) design. The issue of Multiple Criteria Decision Making (MCDM) has been successfully handled, and the best possible process settings have been provided.

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Finding Best Input Parameters for EDM 90CrSi Tool Steel Using Graphite Electrodes Using SAW Method

  • 会议论文

  • 发表日期：

    2025年

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  • Vu Trung Tuyen,
  • Nguyen Thi Quoc Dung,
  • Dinh Van Thanh,
  • Le Thi Phuong Thao

摘要

This article presents research findings on the optimal process factors for Electrical Discharge Machining (EDM) of 90CrSi using graphite electrodes. This study employed a Multi-Criteria Decision Making (MCDM) methodology to manufacture cylindrical-shaped parts using the EDM process and different types of graphite as the electrode material. The MCDM problem had been solved utilizing the Simple Additive Weighting (SAW) technique, and the criteria weights were computed employing the Entropy method. Furthermore, the two criteria employed for inquiry were electrode wear rate (EWR) and material removal rate (MRR). Additionally, the study investigated five process factors: servo voltage (SV), servo current (IP), pulse on time (Ton), pulse off time (Toff), and graphite type (TOG). Furthermore, the experiment was formulated and the results were evaluated using the Taguchi method in the Minitab R19 program. In addition, the experiment utilized the L18 (61 + 34) design. The issue of Multiple Criteria Decision Making (MCDM) has been successfully handled, and the best possible process settings have been provided.