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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Optimization of Wire-EDM Parameters for Ti-6Al-4V Using Taguchi-MRSN Optimization Approach
Author NameAffiliationPostcode
Ipsita Nayak* Department of Mechanical Engineering, Veer Surendra Sai University of Technology, Burla 768018, India 768018
Jaydev Rana Department of Mechanical Engineering, Veer Surendra Sai University of Technology, Burla 768018, India 768018
Abstract:
Ti-6Al-4V is a lightweight, extremely strong material with high resistance to corrosion and is widely used in aerospace industries, medical implants and many more. Contour cutting in such material with sharp corner radius, narrow kerf width, and maintaining high dimensional accuracy and surface integrity is a challenge for the modern manufacturing industry. Wire electrical discharge machining (WEDM) is a feasible process to meet the above challenges. However, proper control of process parameters is highly necessary for quality cutting of such material. In order to meet the above challenges, the present work focuses on the optimum selection of different process parameters such as pulse-on time (TON), pulse-off time (TOFF), spark gap voltage (SV) and wire feed rate (WF) using Taguchi-based multi response signal to noise ratio (MRSN) technique. This is a very simple multi response optimization technique to simultaneously optimize vital responses like thickness of white layer formed on the machined surfaces, average crack density, surface roughness and dimensional accuracy, without the assistance of any software. Moreover, simple regression models are developed to determine the above responses for any combination of process parameters. Industry personnel will find this study useful in utilizing this expensive non-conventional machining method in a techno-economic manner.
Key words:  WEDM  surface roughness  surface crack density  white layer thickness  multi response signal-to-noise ratio  analysis of variance  orthogonal array
DOI:10.11916/j.issn.1005-9113.2023136
Clc Number:TG484
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