Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/55688
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dc.contributor.authorKumar, Sudhir-
dc.contributor.authorGhoshal, Sanjoy Kumar-
dc.contributor.authorArora, Pawan Kumar-
dc.date.accessioned2020-11-24T09:22:55Z-
dc.date.available2020-11-24T09:22:55Z-
dc.date.issued2020-08-
dc.identifier.issn0975-1017 (Online); 0971-4588 (Print)-
dc.identifier.urihttp://nopr.niscair.res.in/handle/123456789/55688-
dc.description819-825en_US
dc.description.abstractThe present study engrossed with the functional relationship between the input and output parameters of the electric discharge machining (EDM). Four controllable machining parameters, viz. gap voltage (A), current (Ip), duty cycle (C) and pulse on time (Ton) have been chosen to ascertain the electrode wear rate (EWR) and surface roughness (SR) of AISI 420 material with copper electrode. Through Taguchi method, a design of experiment developed and it has been used to perform the experiment based on L16 orthogonal array (OA). During machining of AISI420, the highest influencing factor in EWR is IP and least is C. Similarly, for SR Ton is most and C is least significant factor. From analysis of variance (ANOVA), for EWR, IP is having most significant 79.43% contribution and C is having least significant 2.36 % contribution. Similarly, for SR, Ton is having most significant 39.95% contribution and A is having least significant 11.79 % contribution.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJEMS Vol.27(4) [August 2020]en_US
dc.subjectEDMen_US
dc.subjectAISI420 steelen_US
dc.subjectTaguchi Methoden_US
dc.subjectANOVAen_US
dc.titleOptimization of process variables in electric discharge machining (EDM) using Taguchi methodologyen_US
dc.typeArticleen_US
Appears in Collections:IJEMS Vol.27(4) [August 2020]

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