Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/66747
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPadhi, Pratap Chandra-
dc.contributor.authorReddy, Nalamalapu Ravindra-
dc.contributor.authorMahapatra, Trupti Ranjan-
dc.contributor.authorMishra, Punyapriya-
dc.contributor.authorParimanik, Somya Ranjan-
dc.date.accessioned2025-11-11T09:27:33Z-
dc.date.available2025-11-11T09:27:33Z-
dc.date.issued2025-08-
dc.identifier.issnISSN: 0975-1017 (Online); 0971-4588 (Print)-
dc.identifier.urihttp://nopr.niscpr.res.in/handle/123456789/66747-
dc.description493-501en_US
dc.description.abstractThis study has investigated the machinability of EN-40 high-carbon alloy steel in electrical discharge machining (EDM) by analyzing the recast layer morphology. Taguchi’s L16 design and the desirability function approach (DFA) with a simple optimization algorithm (SOPTA) have been used to optimize pulse on time (Ton), pulse off time (Toff), low voltage current (LV), and high voltage current (HV). Performance metrics have included rate of material removal (RMR), tool wear rate (TWR), and surface roughness (Ra). The SOPTA algorithm using MATLAB 22a has determined the optimal settings (LV = 25A, HV = 2A, Ton = 40 μs, Toff = 25 μs) with a composite desirability of 0.5784. A confirmatory test has verified the optimal setting and compared it with the initial setting. The experimental results have shown that EDM performance has been significantly enhanced by the proposed method, with RMR, TWR, and Ra having improved by 66.32%, 70.36%, and 55.64%, respectivelyen_US
dc.language.isoenen_US
dc.publisherNIScPR-CSIR, Indiaen_US
dc.sourceIJEMS Vol.32(04) Augusten_US
dc.subjectDesirability function analysisen_US
dc.subjectElectrical discharge machiningen_US
dc.subjectRecast layeren_US
dc.subjectSimple optimization algorithmen_US
dc.subjectTaguchi’s methodologyen_US
dc.titleElectrical discharge machining of EN-40B high carbon alloy steel: Investigation of recast layer and multi-performance optimizationen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.56042/ijems.v32i04.17709en_US
Appears in Collections:IJEMS Vol.32(04) August

Files in This Item:
File Description SizeFormat 
IJEMS 32(2) 493-501.pdf2.95 MBAdobe PDFView/Open


Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.