This paper presents the findings of a study that employed Multi-Criteria Decision-Making (MCDM) to find the best input factors for Powder-Mixed Electrical Discharge Machining (PMEDM) cylindrical parts made of 90CrSi tool steel with the use of graphite electrodes. For this study, five input components including powder concentration Cp, pulse on time Ton, pulse off time Toff, pulse current IP, and servo voltage SV were selected. In addition, the Taguchi approach was utilized for the experimental design. In addition, the Simple Additive Weighting (SAW) approach was employed to address the MCDM problem, while the Entropy method was utilized to calculate the criteria weights, aiming to obtain a high material removal speed (MRS) and a low electrode wear rate (EWR). The proposed solution for the MCDM problem in PMEDM cylindrically shaped parts was determined based on the findings.

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Application of SAW Technique to Determine the Best Input Factors for PMEDM 90CrSi Tool Steel Using Graphite Electrodes

  • Phan Dang Phong,
  • Vu Ngoc Pi,
  • Dinh Van Thanh,
  • Nguyen Van Tung

摘要

This paper presents the findings of a study that employed Multi-Criteria Decision-Making (MCDM) to find the best input factors for Powder-Mixed Electrical Discharge Machining (PMEDM) cylindrical parts made of 90CrSi tool steel with the use of graphite electrodes. For this study, five input components including powder concentration Cp, pulse on time Ton, pulse off time Toff, pulse current IP, and servo voltage SV were selected. In addition, the Taguchi approach was utilized for the experimental design. In addition, the Simple Additive Weighting (SAW) approach was employed to address the MCDM problem, while the Entropy method was utilized to calculate the criteria weights, aiming to obtain a high material removal speed (MRS) and a low electrode wear rate (EWR). The proposed solution for the MCDM problem in PMEDM cylindrically shaped parts was determined based on the findings.