Multi-objective optimization of process parameter in EDM using low-frequency vibration of workpiece assigned for SKD61

• Published in: Sadhana (Bangalore) Vol. 44; no. 10; pp. 1 - 11
• Main Authors: HUU, PHAN NGUYEN, TIEN, LONG BANH, DUC, QUY TRAN, VAN, DONG PHAM, XUAN, CHUNG NGUYEN, VAN, THIEN NGUYEN, DUC, LUAN NGUYEN, JAMIL, MUHAMMAD, KHAN, AQIB MASHOOD
• Format: Journal Article
• Language: English
• Published: New Delhi Springer India 01.10.2019; Springer Nature B.V
• Subjects: Analytic hierarchy process; Die steels; Electric discharge machining; Engineering; Material removal rate (machining); Mathematical analysis; Multiple objective analysis; Optimization; Process parameters; Surface roughness; Tool wear; Vibration; Vibration analysis; Wear rate; Workpieces; AHP; Material removal rate; tool wear rate; surface roughness; MOORA; low-frequency vibrational-EDM
• ISSN: 0256-2499; 0973-7677
• DOI: 10.1007/s12046-019-1185-y

Integrated vibration in electrical discharge machining (EDM) plays a key role in achieving high efficiency. High levels of variables can be employed in this approach due to integration. However, simultaneous optimization of the EDM parameters to achieve multi-objectives is still very complex and challenging. Studies on integrated vibration are still in a preliminary stage. This report addresses multi-objective optimization in EDM for SKD61 die steel using low-frequency vibration. MOORA (Multi-objective optimization based on ratio analysis) was chosen to resolve this multi-objective optimization problem. The material removal rate (MRR), tool wear rate (TWR) and surface roughness (SR) were selected as performance measures in the EDM process. An analytical hierarchical process (AHP) was used to determine the weight value of the quality indicators. The results indicate that low-frequency vibrations significantly improve machining efficiency. When the frequency of the vibrations increased, MRR increased significantly such that MRR MAX  = 64.48%. TWR and SR are smaller and their increase are given as TWR MAX  = 20.3% and SR MAX  = 18.47%. MOORA has been identified as a suitable alternative to multi-objective optimization in an EDM process using low-frequency vibrations for an assigned workpiece. The optimum parameters required to achieve the multi-objective were Ton = 25 μs, I  = 8 A, Tof = 5.5 μs and F  = 512 Hz, at the resultant quality criteria of MRR = 9.564 mm 3 /min, TWR = 1.944 mm 3 /min and SR = 3.24 µm with a maximum error of 8.24%.