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This article presents results from a study on the most effective process parameters for Electrical Discharge Machining (EDM) of 90CrSi that use graphite electrodes with various types of graphite material. The MCDM problem was resolved using the Area-based Method of Ranking (EAMR) technique, and the criteria weights were calculated using the Entropy method. In addition, the two criteria used for investigation were electrode wear rate (EWR) and material removal rate (MRR). In addition, the study examined five process factors: servo voltage (SV), servo current (IP), pulse on time (Ton), pulse off time (Toff), and graphite type (TOG). Moreover, the experiment was designed and the outcomes were assessed using the Taguchi method in the Minitab R19 software. Furthermore, the experiment employed the L18 (61 + 34) design. The problem of MCDM has been effectively addressed, and optimal process settings have been determined.

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Application of EAMR Technique to Determine the Best Input Factors in EDM 90CrSi Steel Using Graphite Electrodes

  • 会议论文

  • 发表日期：

    2026年

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

摘要

This article presents results from a study on the most effective process parameters for Electrical Discharge Machining (EDM) of 90CrSi that use graphite electrodes with various types of graphite material. The MCDM problem was resolved using the Area-based Method of Ranking (EAMR) technique, and the criteria weights were calculated using the Entropy method. In addition, the two criteria used for investigation were electrode wear rate (EWR) and material removal rate (MRR). In addition, the study examined five process factors: servo voltage (SV), servo current (IP), pulse on time (Ton), pulse off time (Toff), and graphite type (TOG). Moreover, the experiment was designed and the outcomes were assessed using the Taguchi method in the Minitab R19 software. Furthermore, the experiment employed the L18 (61 + 34) design. The problem of MCDM has been effectively addressed, and optimal process settings have been determined.