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The paper deals with the results of a study that employed Multi-Criteria Decision-Making (MCDM) to find the optimal input parameters to machine cylindrical parts from SKD11 tool steel using Powder-Mixed Electrical Discharge Machining (PMEDM). This experiment included six input components: powder concentration (Cp), powder size (Sp), pulse on time (Ton), pulse off time (Toff), pulse current (IP), and servo voltage (SV). Furthermore, the Taguchi approach was employed for the experimental design. The SAW methodology was employed to tackle the MCDM problem, utilizing the Entropy method for determining the weights of the criteria. The goal was to attain a high rate of material removal (MRS) while minimizing the rate at which the electrode wears rate (EWR). The solution for MCDM problem in PMEDM of cylindrically shaped components was determined using the discovered results.

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Determining Best Input Parameters for PMEDM SKD11 Tool Steel Using SAW Method

  • 会议论文

  • 发表日期：

    2025年

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  • Dinh Van Thanh,
  • Nguyen Huu Quang,
  • Hoang Xuan Tu,
  • Nguyen Manh Cuong

摘要

The paper deals with the results of a study that employed Multi-Criteria Decision-Making (MCDM) to find the optimal input parameters to machine cylindrical parts from SKD11 tool steel using Powder-Mixed Electrical Discharge Machining (PMEDM). This experiment included six input components: powder concentration (Cp), powder size (Sp), pulse on time (Ton), pulse off time (Toff), pulse current (IP), and servo voltage (SV). Furthermore, the Taguchi approach was employed for the experimental design. The SAW methodology was employed to tackle the MCDM problem, utilizing the Entropy method for determining the weights of the criteria. The goal was to attain a high rate of material removal (MRS) while minimizing the rate at which the electrode wears rate (EWR). The solution for MCDM problem in PMEDM of cylindrically shaped components was determined using the discovered results.