Evaluating the Parameters for Electrode Wear Rate in Electrical Discharge Machining of H13 Steel

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dc.authorid0000-0003-4859-9609en_US
dc.authorid0000-0002-4132-3928en_US
dc.contributor.authorYaka, Harun
dc.contributor.authorMalo, Yusuf
dc.date.accessioned2023-08-01T11:23:26Z
dc.date.available2023-08-01T11:23:26Z
dc.date.issued2023 Nisanen_US
dc.departmentBaşka Kurumen_US
dc.description.abstractIn this study, H13 steel, which is widely used in mold making, was processed by the electroerosion method. A copper electrode with a diameter of 12 mm was used in the experiments. Taguchi L18 experiment list was created by using 3 different cutting parameters. At the end of the experiments, electrode wear rates (EWR) were found by controlling the initial and final weights of the electrode. Ampere (A) was the most effective parameter for electrode wear. According to the analysis of variance (ANOVA) results, Amper's contribution rate was 63.99%. At the end of the study, Regression analysis was performed, and a mathematical model was developed for the electrode wear rate.en_US
dc.identifier.citationYaka, H., Malo, Y., (2023). Evaluating the Parameters for Electrode Wear Rate in Electrical Discharge Machining of H13 Steel. Selcuk University Journal of Engineering Sciences, 22(1), 33-37.en_US
dc.identifier.endpage37en_US
dc.identifier.issn2757-8828en_US
dc.identifier.issue1en_US
dc.identifier.startpage33en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/49024
dc.identifier.volume22en_US
dc.language.isoenen_US
dc.publisherSelçuk Üniversitesien_US
dc.relation.ispartofSelcuk University Journal of Engineering Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Başka Kurum Yazarıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectANOVAen_US
dc.subjectElectro-erosionen_US
dc.subjectEWRen_US
dc.subjectH13 Steelen_US
dc.subjectTaguchien_US
dc.titleEvaluating the Parameters for Electrode Wear Rate in Electrical Discharge Machining of H13 Steelen_US
dc.typeArticleen_US

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