Open AccessOptimization of Process Parameters of Wire Cut Electrical Discharge Machining on Titanium Grade-5 Material using Design of Experiments
Author(s) -
P.Sai Kumar,
M.S.R.Niranjan Kumar,
Gopala krishnaiah P
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k1937.0981119
Subject(s) - grey relational analysis , taguchi methods , orthogonal array , electrical discharge machining , machining , maximization , design of experiments , mechanical engineering , process (computing) , surface roughness , engineering drawing , process variable , computer science , materials science , engineering , mathematics , mathematical optimization , statistics , machine learning , composite material , operating system
In this paper, a compelling methodology, Taguchi grey relational analysis, was employed to the test results of wire-cut electrical discharge machining on Titanium Grade - 5 material with the consideration of multiple performance characteristics of the output response variables. The methodology merges the orthogonal array design of experiment with grey relational analysis. The primary target of this examination is to accomplish the maximization of material removal rate, minimization of both Surface roughness and kerf width. Grey relational theory is implemented to assess the optimal process parameters that improve the response measures. The test was finished by utilizing Taguchi's orthogonal array L18. Each test has been performed under various states of input parameters. The response table and grey relational grade for each level of the machining parameters have been established. From 18 tests, the best mix of parameters was identified. The results of test verify that the suggested technique in this investigation adequately develops the machining performance of Wire cut EDM process.