Effect of hBN and SDS added vegetable based cutting fluid application on the performance of turning Ti6Al4V alloys: A Comparative analysis with Taguchi and ANN approaches

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dc.authoridŞİRİN, Şenol/0000-0002-3629-9003en_US
dc.authoridÇAKIR ŞENCAN, Ayşegül/0000-0002-0506-6522en_US
dc.authoridSENCAN, Cevdet/0000-0002-7562-9896en_US
dc.authorscopusid58973025300en_US
dc.authorscopusid58751763300en_US
dc.authorscopusid57206785879en_US
dc.authorscopusid57196452573en_US
dc.authorscopusid57218271933en_US
dc.authorwosidŞİRİN, Şenol/H-2078-2018en_US
dc.authorwosidÇAKIR ŞENCAN, Ayşegül/AAC-5266-2019en_US
dc.contributor.authorCelik, Muhammet
dc.contributor.authorSencan, Aysegul Cakir
dc.contributor.authorSirin, Senol
dc.contributor.authorErdogan, Beytullah
dc.contributor.authorSencan, Cevdet
dc.date.accessioned2024-08-23T16:04:42Z
dc.date.available2024-08-23T16:04:42Z
dc.date.issued2024en_US
dc.departmentDüzce Üniversitesien_US
dc.description.abstractIn this study, during the turning process of Ti6Al4V alloy, which is difficult to machine, nanofluid, whose base fluid is vegetable oil (sunflower oil), was applied to the cutting zone with the minimum quantity lubrication (MQL) technique. Nanofluids were prepared by adding hexagonal boron nitride (hBN) nanoparticles (65-75 nm) with different concentration ratios (0.5 and 1 %) and surfactant (Sodium dodecyl sulfate, SDS) into vegetable oil. Thermal conductivity coefficients and dynamic viscosities of the prepared nanofluids and pure sunflower oil were measured at four different temperatures. Additionally, the stability of the prepared nanofluids was observed for 15 months. In turning experiments, four different cutting speeds (50, 75, 100 and 125 m/min), four different feed rates (0.05, 0.10, 0.15 and 0.20 mm/rev) and four different cooling conditions (dry, PureMQL, 0.5 % NanoMQL and 1 % NanoMQL) were used. The effect of the change in these parameters on surface roughness (Ra),temperature in the cutting zone (T) and flank wear on the tools (Vb) was investigated experimentally and analytically. As a result of the research, the experimental results were evaluated using variance analysis, signal/ noise (S/N) analysis and artificial neural networks (ANN) methods. As a result of the measurements and observations, it was determined that the nanofluid with 0.5 % concentration had the best stability. In the main experiments, the MQL condition using this nanofluid (0.5 % NanoMQL) exhibited the best machining performance. In the wear experiments, the lowest tool wear was detected under the 1 % NanoMQL condition. According to the ANOVA and S/N analysis results showed that Ra was most affected by the feed rate (95 %), T was most affected by the cooling condition (70 %), and Vb was most affected by the cutting speed (45 %). The prediction performances of ANN and Taguchi approaches were examined and the prediction success of these approaches was more than 98.5 % and 80.8 %, respectively. Especially for Vb values that have very close data, more accurate predictions were made with the ANN approach compared to Taguchi.en_US
dc.description.sponsorshipZonguldak Buelent Ecevit University Scientific Research Projects Unit [2020-77654622-01]en_US
dc.description.sponsorshipThe authors would like to thank the Zonguldak Buelent Ecevit University Scientific Research Projects Unit for supporting this study. (Project Number: 2020-77654622-01). Also, the authors would like to thank the Duzce University for the possibility of using machines and equipment in their experiments.en_US
dc.identifier.doi10.1016/j.matchemphys.2024.129552
dc.identifier.issn0254-0584
dc.identifier.issn1879-3312
dc.identifier.scopus2-s2.0-85195198223en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.matchemphys.2024.129552
dc.identifier.urihttps://hdl.handle.net/20.500.12684/14306
dc.identifier.volume322en_US
dc.identifier.wosWOS:001256429900001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Science Saen_US
dc.relation.ispartofMaterials Chemistry And Physicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSunflower oilen_US
dc.subjecthBNen_US
dc.subjectSDSen_US
dc.subjectNanofluiden_US
dc.subjectANNen_US
dc.subjectTaguchien_US
dc.subjectMinimum Quantity Lubricationen_US
dc.subjectResponse-Surface Methodologyen_US
dc.subjectChip Formationen_US
dc.subjectTi-6al-4ven_US
dc.subjectNanofluidsen_US
dc.subjectParametersen_US
dc.subjectSpeeden_US
dc.subjectOilen_US
dc.subjectNanoparticlesen_US
dc.subjectMachinabilityen_US
dc.titleEffect of hBN and SDS added vegetable based cutting fluid application on the performance of turning Ti6Al4V alloys: A Comparative analysis with Taguchi and ANN approachesen_US
dc.typeArticleen_US

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