A New Optimization Technique in Examining the Machinability of Sverker 21 Steel: Gray Relational Analysis-Based Genetic Algorithm

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dc.authoridAltuğ, Mehmet/0000-0002-4745-9164
dc.authoridOZAY, Cetin/0000-0001-9958-519X
dc.authoridOZAY, Cetin/0000-0001-9958-519X
dc.authoridBallikaya, Hasan/0000-0001-5484-0214
dc.authorwosidAltuğ, Mehmet/ABF-5670-2020
dc.authorwosidOZAY, Cetin/ABD-1847-2020
dc.authorwosidOZAY, Cetin/V-7034-2018
dc.authorwosidBallikaya, Hasan/AAO-7378-2020
dc.contributor.authorOzay, Cetin
dc.contributor.authorAltug, Mehmet
dc.contributor.authorBallikaya, Hasan
dc.date.accessioned2024-08-04T20:50:14Z
dc.date.available2024-08-04T20:50:14Z
dc.date.issued2021
dc.departmentİnönü Üniversitesien_US
dc.description.abstractIn this study, to determine the optimum parameters of the WEDM method, Taguchi experiment design, gray relational analysis (GRA) and gray relational analysis-based genetic algorithm (GRABGA) methods were used. In experimental studies, first, microstructure, microhardness and conductivity examinations of, both commercial and heat treated, Sverker 21 cold tool steel were performed. Then, the commercial and heat-treated Sverker 21 cold tool steel was processed with the WEDM method at the determined parameters. The effects of processing parameters on average surface roughness (Ra), kerf, and vibration were evaluated separately using Taguchi test design, GRA and GRABGA methods. It was determined that the homogeneous distribution of the carbides increased, the microhardness increased and the conductivity increased in the microstructure of the heat-treated sample compared to the commercial sample. In the processing of materials with WEDM, while the Taguchi test design method was used to evaluate the effects of processing parameters on the results were evaluated separately, GRA method was used to determine the grade of relationship between the results. In addition, the GRABGA method enabled the optimum values of the processing parameters to be determined not only on the basis of the level, but also on the intermediate values. It was found that the GRA relationship value was 0.8564 whereas the GRABGA relationship value was 0.8977. It was concluded that the GRABGA method provided better results than the GRA method in the correlation analysis of the results obtained in processing D2 cold tool steel with the WEMD method.en_US
dc.identifier.doi10.1007/s13369-021-05721-5
dc.identifier.endpage11795en_US
dc.identifier.issn2193-567X
dc.identifier.issn2191-4281
dc.identifier.issue12en_US
dc.identifier.scopus2-s2.0-85106065082en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage11783en_US
dc.identifier.urihttps://doi.org/10.1007/s13369-021-05721-5
dc.identifier.urihttps://hdl.handle.net/11616/99936
dc.identifier.volume46en_US
dc.identifier.wosWOS:000652095300001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofArabian Journal For Science and Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGenetic algorithmen_US
dc.subjectGray relational analysisen_US
dc.subjectSverker 21en_US
dc.subjectTaguchi designen_US
dc.subjectWEDMen_US
dc.titleA New Optimization Technique in Examining the Machinability of Sverker 21 Steel: Gray Relational Analysis-Based Genetic Algorithmen_US
dc.typeArticleen_US

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