Multi-Criteria optimization of surface roughness in wire EDM of Inconel 718 by Taguchi based gray relational analysis method

Basit Öğe Kaydı
dc.authorid0000-0002-1628-1316en_US
dc.contributor.authorKarataş, Meltem Altın
dc.date.accessioned2024-03-13T12:45:30Z
dc.date.available2024-03-13T12:45:30Z
dc.date.issued2022en_US
dc.departmentBAİBÜ, Gerede Meslek Yüksekokulu, Makine ve Metal Teknolojileri Bölümüen_US
dc.description.abstractIn this study, the effect of machining parameters on Ra (average surface roughness), Rq (quadratic average roughness) and Rz (maximum roughness) values were measured on the material cut surface as a result of machining Inconel 718 (IN718) superalloy on a CNC wire erosion machine were investigated. As the processing parameters; voltage, wire feed rate and dielectric fluid pressure were determined. In the experiments, pure water was used as the dielectric fluid and 0.3 mm brass wire was used as the wire. The aim of the study is to determine the optimum values of the cutting parameters in order to obtain the lowest Ra, Rq and Rz values. Gray Relational Analysis (GRA), which is one of the multi-criteria decision-making methods, has been applied for the optimization of the machining parameters in the cutting process with the wire erosion machine. The experiments and the levels of the parameters used were designed and optimized according to the Taguchi L-9 (3(3)) orthogonal array. Analysis of Variance (ANOVA) was used to determine the effect percentages of the cut-off parameters. The parameter with the highest effect was determined as voltage with a ratio of 79.18% for Ra, 84.05% for Rq, and 89.25% for Rz. The lowest Ra, Rq and Rz values were obtained as 0.123 mu m, 0.178 mu m and 0.740 mu m, respectively.en_US
dc.identifier.citationAltın Karataş, M. Multi-Criteria optimization of surface roughness in wire EDM of Inconel 718 by Taguchi based gray relational analysis method. Pamukkale University Journal of Engineering Sciences, 28(4), 516-532.en_US
dc.identifier.doi10.5505/pajes.2021.74501
dc.identifier.endpage532en_US
dc.identifier.issn1300-7009
dc.identifier.issn2147-5881
dc.identifier.issue4en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage516en_US
dc.identifier.trdizinid1109209en_US
dc.identifier.urihttp://dx.doi.org/10.5505/pajes.2021.74501
dc.identifier.urihttps://hdl.handle.net/20.500.12491/12082
dc.identifier.volume28en_US
dc.identifier.wosWOS:000859055800003en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.institutionauthorKarataş, Meltem Altın
dc.language.isoenen_US
dc.publisherPamukkale Univen_US
dc.relation.ispartofPamukkale University Journal of Engineering Sciences-Pamukkale Üniversitesi Mühendislik Bilimleri Dergisien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectInconel 718en_US
dc.subjectWEDMen_US
dc.subjectSurface Roughnessen_US
dc.subjectTaguchi Methoden_US
dc.subjectGrey Relational Analysisen_US
dc.titleMulti-Criteria optimization of surface roughness in wire EDM of Inconel 718 by Taguchi based gray relational analysis methoden_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
meltem-altın-karatass.pdf
Boyut:
1.51 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam metin/Full text
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Makine Ve Metal Teknolojileri Bölümü
Scopus İndeksli Yayınlar Koleksiyonu
TR-Dizin İndeksli Yayınlar Koleksiyonu