Application of the Multi-Criteria Decision Method to Find the Best Input Factors for Electrical Discharge Machining 90CrSi Tool Steel using Graphite Electrodes
Received: 26 September 2024 | Revised: 13 October 2024 | Accepted: 26 October 2024 | Online: 2 December 2024
Corresponding author: Thi Phuong Thao Le
Abstract
This paper examines the optimization of the Electrical Discharge Machining (EDM) process when machining cylindrical parts of 90CrSi tool steel using various graphite electrodes. A Multi-Criteria Decision Making (MCDM) approach, including the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Simple Additive Weighting (SAW), and Multi-Attributive Border Approximation Area Comparison (MABAC) was utilized to identify the optimal input factors that would achieve three machining objectives: minimizing Surface Roughness (SR) and Electrode Wear Rate (EWR) and maximizing Material Removal Rate (MRR). Criteria weights were calculated using the Method based on the Removal Effects of Criteria (MEREC). Additionally, three types of graphite electrodes (HK0, HK15, and HK20) and five process factors, such as Servo Voltage (SV), Input Current (IP), pulse on time (Ton), pulse off time (Toff), and Types of Graphite (TOG) were tested with experiments structured using a Taguchi L18 design and Minitab R19 software. The results indicate that the optimal EDM input parameters are as follows: IP = 9.5 A, SV = 5 V, Ton = 8 µs, Toff = 8 µs, with the HK20 electrode balancing SR, EWR and MRR for enhanced machining performance.
Keywords:
EDM, MCDM, TOPSIS, SAW, MABAC, SR, EWR, MRR, graphite electrodesDownloads
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Copyright (c) 2024 Thi Phuong Thao Le, Van Thanh Dinh, Thi Quoc Dung Nguyen, Duc Binh Vu, Trung Tuyen Vu
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