Determining Best Input Parameters for PMEDM SKD11 Tool Steel using MARCOS Method
摘要
This paper describes the results of a study that used Multi-Criteria Decision-Making (MCDM) to determine the optimal input parameters for Powder-Mixed Electrical Discharge Machining (PMEDM) cylindrical parts manufactured of SKD11 tool steel. Six input components, namely powder concentration (Cp), powder size (Sp), pulse on time (Ton), pulse off time (Toff), pulse current (IP), and servo voltage (SV), were used for this investigation. Furthermore, the Taguchi approach was employed for the experimental design. Also, the Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) methodology was deployed to tackle the MCDM problem, with the Entropy method being employed to compute the weights of the criterion, with the objective of achieving a high material removal speed (MRS) and a low electrode wear rate (EWR). The solution for the MCDM problem in PMEDM cylindrically shaped parts was determined based on the findings.