Application of grey relational analysis based on Taguchi method for optimizing machining parameters in hard turning of high chrome cast iron

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dc.authoridGUNAY, MUSTAFA/0000-0002-1281-1359
dc.authorid/0000-0003-3300-1336
dc.contributor.authorKalyon, Ali
dc.contributor.authorGunay, Mustafa
dc.contributor.authorOzyurek, Dursun
dc.date.accessioned2024-09-29T15:54:47Z
dc.date.available2024-09-29T15:54:47Z
dc.date.issued2018
dc.departmentKarabük Üniversitesien_US
dc.description.abstractHigh chrome white cast iron is particularly preferred in the production of machine parts requiring high wear resistance. Although the amount of chrome in these materials provides high wear and corrosion resistances, it makes their machinability difficult. This study presents an application of the grey relational analysis based on the Taguchi method in order to optimize chrome ratio, cutting speed, feed rate, and cutting depth for the resultant cutting force (F (R)) and surface roughness (R (a)) when hard turning high chrome cast iron with a cubic boron nitride (CBN) insert. The effect levels of machining parameters on F (R) and R (a) were examined by an analysis of variance (ANOVA). A grey relational grade (GRG) was calculated to simultaneously minimize F (R) and R (a). The ANOVA results based on GRG indicated that the feed rate, followed by the cutting depth, was the main parameter and contributed to responses. Optimal levels of parameters were found when the chrome ratio, cutting speed, feed rate, and cutting depth were 12%, 100 m/min, 0.05 mm/r, and 0.1 mm, respectively, based on the multiresponse optimization results obtained by considering the maximum signal to noise (S/N) ratio of GRG. Confirmation results were verified by calculating the confidence level within the interval width.en_US
dc.description.sponsorshipKarabuk University Scientific Research Project Unit [KBU-BAP-13/1-DR-007]en_US
dc.description.sponsorshipThe authors would like to acknowledge the financial support provided by Karabuk University Scientific Research Project Unit (Grant No. KBU-BAP-13/1-DR-007) for the successful implementation of this study.en_US
dc.identifier.doi10.1007/s40436-018-0231-z
dc.identifier.endpage429en_US
dc.identifier.issn2095-3127
dc.identifier.issn2195-3597
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85057497432en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage419en_US
dc.identifier.urihttps://doi.org/10.1007/s40436-018-0231-z
dc.identifier.urihttps://hdl.handle.net/20.500.14619/4288
dc.identifier.volume6en_US
dc.identifier.wosWOS:000452566700006en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofAdvances in Manufacturingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHigh chrome cast ironen_US
dc.subjectHard turningen_US
dc.subjectGrey relational analysisen_US
dc.subjectMulti-response optimizationen_US
dc.subjectTaguchi methoden_US
dc.titleApplication of grey relational analysis based on Taguchi method for optimizing machining parameters in hard turning of high chrome cast ironen_US
dc.typeArticleen_US

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