Comprehensive analysis of material removal rate, tool wear and surface roughness in electrical discharge turning of L2 tool steel

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dc.authoridCAKIROGLU, RAMAZAN/0000-0002-3120-1599
dc.contributor.authorCakiroglu, Ramazan
dc.contributor.authorGunay, Mustafa
dc.date.accessioned2024-09-29T15:57:42Z
dc.date.available2024-09-29T15:57:42Z
dc.date.issued2020
dc.departmentKarabük Üniversitesien_US
dc.description.abstractElectrical discharge turning (EDT) is used in the production of micro and macro cylindrical components with complex geometry, as well as ejector pins in injection molds, components of micro air turbines and pumps, micro tools or microstamping dies. On the other hand, optimization of machining parameters is crucial for machining efficiency and surface integrity of a part produced directly by EDT. Therefore, the machinability of AISI L2 steel with die sinking EDT was comprehensively investigated by considering material removal rate (MRR), surface roughness (Ra) and tool wear rate (TWR). In addition, machining parameters named as discharge current, pulse on time and pulse off time were optimized by Taguchi-based grey relational analysis method. Considering the measurement results and the observations of surface morphology, the MRR, TWR and Ra increased with increasing the discharge current. However, it was detected that MRR and Ra increased while TWR decreased as the pulse on time was increased. The increase in noncutting time due to the pulse off time increment led to forming of shallow craters and thus increased surface quality. The best machining parameters for die-sinking EDT of the tool steel were determined as discharge current of 3A, pulse on time of 8 mu s and pulse off time of 6 mu s. A 25.04% percentage of improvement of was achieved with the multiresponse optimization method during die-sinking EDT. (C) 2020 The Author(s). Published by Elsevier B.V.en_US
dc.description.sponsorshipScientific Research Project Unit of Karabuk University [KBU-BAP-18-YL-100]en_US
dc.description.sponsorshipThis study is partly supported by Scientific Research Project Unit of Karabuk University (KBU-BAP-18-YL-100) and the authors express their appreciation for this support.en_US
dc.identifier.doi10.1016/j.jmrt.2020.04.060
dc.identifier.endpage7317en_US
dc.identifier.issn2238-7854
dc.identifier.issn2214-0697
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85089627787en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage7305en_US
dc.identifier.urihttps://doi.org/10.1016/j.jmrt.2020.04.060
dc.identifier.urihttps://hdl.handle.net/20.500.14619/4972
dc.identifier.volume9en_US
dc.identifier.wosWOS:000560697700007en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofJournal of Materials Research and Technology-Jmr&Ten_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectElectrical discharge turningen_US
dc.subjectTool wear rateen_US
dc.subjectMaterial removal rateen_US
dc.subjectSurface roughnessen_US
dc.subjectGrey relational analysisen_US
dc.titleComprehensive analysis of material removal rate, tool wear and surface roughness in electrical discharge turning of L2 tool steelen_US
dc.typeArticleen_US

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