Parametric optimization in WEDM machining processfor OHNS steel and its experimental validation
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Creator 1. Sambhaji Venkatrao Sagare
2. Shyam Sunder Pawar
Title Parametric optimization in WEDM machining processfor OHNS steel and its experimental validation
Publisher Research and Development Office, Prince of Songkla University
Publication Year 2565
Journal Title Songklanakarin Journal of Science an Technology (SJST)
Journal Vol. 44
Journal No. 3
Page no. 876-883
Keyword WEDM, OHNS steel, MRR, SR, Taguchi, ANOVA
URL Website https://rdo.psu.ac.th/sjst/index.php
ISSN 0125-3395
Abstract Wire electric discharge machining (WEDM) has become a key unconventional technology, as it offers a perfectsolution for manufacturing machine-made components such as oil hardened nickel (non-shrinking) steel (OHNS) stainless steeland full forms which are not feasible with traditional machining techniques. Few scholars have tried to model this method due toan outdated number of operation variables and answers. In this paper, we will take the readings from the following parameters inWEDM including dielectric conductivity pulse width, time between pulses, maximum feed rate, servo control mean referencevoltage, short pulse time, wire feed rate, wire mechanical tension, injection pressure on a distinct procedure responses includingMRR and SR. In this various optimization and relation finding methods are shown. The cutting of OHNS steel using a wireelectro-discharge machining method with copper electrodes was studied in this article. During this project L36 orthogonal arraysupporting the in the tests, Taguchi laboratory architecture was used. The analysis of variance is accustomed to evaluate data tofind the right answer parameter conditions. The most machining parameters are performance measurements for dielectricconductivity (DC), pulse width (PW), time between pulses (TBW), maximum feed rate (MFR), servo control mean referencevoltage (SCMRV), short pulse time (SPT), wire feed rate (WFR), wire mechanical tension (WMT), material removed rate(MRR), and surface roughness (SR) have been chosen to calculate the parameters. The use of response tables and graphs todetermine the best parameter levels is common within the WEDM process.
Songklanakarin Journal of Science and Technology (SJST)

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