Response optimisation in wire electrical discharge machining of AISI H11 tool steel using Taguchi - GRA approach
by M. Vignesh; R. Ramanujam
International Journal of Machining and Machinability of Materials (IJMMM), Vol. 20, No. 5, 2018

Abstract: Wire electrical discharge machining (WEDM), is the most commonly used thermoelectric method to machine electrically conductive materials because of its ability to machine any complex and intricate shapes with increased precision and dimensional accuracy. In this study, the fatigue samples are prepared through WEDM process according to Taguchi's L9 orthogonal array (OA) of experiments by varying the pulse time (T_ON/T_OFF) and wire speed, each at three levels. The parametric effect on fatigue life, surface roughness (SR), material removal rate (MRR), recast layer depth and microstructure is studied. The recast layer and microstructure of the machined samples were analysed using scanning electron microscopy (SEM). From the results, the fatigue life of the component decreases (53.86%) as the T_ON time increases (108 μs to 112 μs). This reduces the surface quality by 21.37% and increases the depth of recast layer. Simultaneously, an improvement of 14.31% in MRR was obtained by increasing the T_ON from 108 μs to 112 μs and wire speed from 1 m/min to 3 m/min. The optimal level of the factors for better responses was found by Taguchi response graph and variance analysis. Grey relational analysis (GRA) was done for overall process optimisation.

Online publication date: Fri, 09-Nov-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Machining and Machinability of Materials (IJMMM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com