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The article presents the findings of an investigation that employed Multi-Criteria Decision-Making (MCDM) to identify the best possible input parameters for the production of cylindrical parts made of SKD11 tool steel using Powder-Mixed Electrical Discharge Machining (PMEDM). This experiment utilized six input components: powder concentration (Cp), powder size (Sp), pulse on time (Ton), pulse off time (Toff), pulse current (IP), and servo voltage (SV). In addition, the Taguchi technique was utilized for the experimental design. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodology was used to address the MCDM problem, with the Entropy method used to calculate the criterion weights. The objective was to achieve a high material removal speed (MRS) and a low electrode wear rate (EWR). Based on the results, the optimal input-parameter combination for PMEDM of cylindrical SKD11 components was identified.

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Finding Best Process Factors in PMEDM SKD11 Tool Steel Using TOPSIS Technique

  • 会议论文

  • 发表日期：

    2026年

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  • Van Thanh Dinh,
  • Hong Ky Le,
  • Xuan Tu Hoang,
  • Manh Cuong Nguyen

摘要

The article presents the findings of an investigation that employed Multi-Criteria Decision-Making (MCDM) to identify the best possible input parameters for the production of cylindrical parts made of SKD11 tool steel using Powder-Mixed Electrical Discharge Machining (PMEDM). This experiment utilized six input components: powder concentration (Cp), powder size (Sp), pulse on time (Ton), pulse off time (Toff), pulse current (IP), and servo voltage (SV). In addition, the Taguchi technique was utilized for the experimental design. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodology was used to address the MCDM problem, with the Entropy method used to calculate the criterion weights. The objective was to achieve a high material removal speed (MRS) and a low electrode wear rate (EWR). Based on the results, the optimal input-parameter combination for PMEDM of cylindrical SKD11 components was identified.