Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/15879
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dc.contributor.authorRodić D.en
dc.contributor.authorGostimirović, Marinen
dc.contributor.authorLaković, Nikolaen
dc.contributor.authorBatinić B.en
dc.contributor.authorKulundžić, Nenaden
dc.date.accessioned2020-03-03T15:01:42Z-
dc.date.available2020-03-03T15:01:42Z-
dc.date.issued2019-05-01en
dc.identifier.isbn9781728129013en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/15879-
dc.description.abstract© 2019 IEEE. the work proposes an artificial intelligence tool, respectively fuzzy logic technique for analyzing surface roughness of electrical discharge machining. The analysis of surface roughness based on the fuzzy logic method, which is an approach for analysis of the electrical discharge machining was researched using the Taguchi L9 experimental plan. The aim of this paper is to examine the influence of the individual important input processing parameters, like peak current and pulse on-time on output machining performance. The results have shown that the fuzzy logic approach can be used for the surface roughness analysis in electrical discharge machining.en
dc.relation.ispartof2019 Zooming Innovation in Consumer Technologies Conference, ZINC 2019en
dc.titleFuzzy analysis of surface roughness in electrical discharge machiningen
dc.typeConference Paperen
dc.identifier.doi10.1109/ZINC.2019.8769355en
dc.identifier.scopus2-s2.0-85073891877en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85073891877en
dc.relation.lastpage121en
dc.relation.firstpage118en
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFakultet tehničkih nauka, Departman za proizvodno mašinstvo-
crisitem.author.deptFakultet tehničkih nauka, Departman za proizvodno mašinstvo-
crisitem.author.parentorgFakultet tehničkih nauka-
crisitem.author.parentorgFakultet tehničkih nauka-
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