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- Title
Multiresponse Optimization of Wire Electrical Discharge Machining Parameters for Ti-6Al-2Sn-4Zr-2Mo (α-β) Alloy Using Taguchi-Grey Relational Approach.
- Authors
Perumal, A.; Kailasanathan, C.; Stalin, Balasubramaniam; Suresh Kumar, S.; Rajkumar, P. R.; Gangadharan, T.; Venkatesan, G.; Nagaprasad, N.; Dhinakaran, V.; Krishnaraj, Ramaswamy
- Abstract
The Ti-6Al-2Sn-4Zr-2Mo alloy was machined using the wire electrical discharge machining (WEDM) method in this research. The consequences of input values like pulse on duration, wire tension, and wire feed on metal removal rate (MRR) and surface roughness (SR) have indeed been observed. After conducting 27 experiments using Taguchi's L27 type of research technique, empirical designing and analysis of variance (ANOVA) were performed. For process optimization, the Taguchi technique, which is based on the grey relational analysis approach, is used. The results show that a material removal rate of 0.293 mm3/min was obtained with factors of 10 µs pulse on duration, 7 m/min of wire feed, and 12 g of wire tension (the higher the better), and surface roughness of 2.129 µm was obtained with factors of 6 µs pulse on duration, 3 m/min of wire feed, and 8 g of wire tension (the lower the better). The percentage of errors between results obtained and grey relational analysis (GRA) predicted results varies around 6%. Wire electrical discharge machining with Ti-6242 alloy to optimum conditions resulted in better MRR and surface integrity with good surface finish and integrity as evidenced by a substantial reduction in the crack formation, lumps, and accumulated surfaces.
- Subjects
GREY relational analysis; MACHINING; ALLOYS; SURFACE roughness; SURFACE finishing; WIRE
- Publication
Advances in Materials Science & Engineering, 2022, p1
- ISSN
1687-8434
- Publication type
Article
- DOI
10.1155/2022/6905239