A study on friction induced tribological characteristics of steel 316 L against 100 cr6 alloy under different lubricating conditions with machine learning model

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dc.authoridGupta, Munish/0000-0002-0777-1559
dc.contributor.authorGupta, Munish Kumar
dc.contributor.authorKorkmaz, Mehmet Erdi
dc.contributor.authorKarolczuk, Aleksander
dc.contributor.authorRoss, Nimel Sworna
dc.contributor.authorVashishtha, Govind
dc.contributor.authorKrolczyk, Jolanta B.
dc.contributor.authorDemirsoz, Recep
dc.date.accessioned2024-09-29T16:00:52Z
dc.date.available2024-09-29T16:00:52Z
dc.date.issued2024
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThe material steadily wears away from touching surfaces when two solid entities are constantly moving against one other. When more parameters and extreme materials are involved in tribological testing, then it is very difficult to analyze and observe the working phenomena. With this aim, this study uses the gaussian process regression (GPR) approach to estimate friction forces when testing SS 316 L against 100 Cr6 alloy under cryogenic and cryo + minimum amount lubrication conditions. The friction forces from ball -on test experiments were used to develop the prediction models. Then, the wear surfaces and surface morphology are analyzed under cryo and cryo +MQL conditions. The results demonstrated that the combination of MQL and CRYO cooling reduced the friction forces more than 10 times for sliding distances above -30 m and loads below -25 n. Hence, the cryo +MQL conditions are beneficial in enhancing the tribological features due to the dual cooling and lubricating effects.en_US
dc.description.sponsorshipNorwegian Financial Mechanism 2014-2021 [KBUEBAP-23-DR-036]; Karabuk University Project Coordinateship Unit; [2020/37/K/ST8/02795]en_US
dc.description.sponsorshipThe research leading to these results has received funding from the Norwegian Financial Mechanism 2014-2021, Project Contract No 2020/37/K/ST8/02795. The author Mehmet Erdi Korkmaz also would like to thanks Karabuk University Project Coordinateship Unit with Project No. KBUEBAP-23-DR-036 for financial support.en_US
dc.identifier.doi10.1016/j.triboint.2024.109599
dc.identifier.issn0301-679X
dc.identifier.issn1879-2464
dc.identifier.scopus2-s2.0-85189745296en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.triboint.2024.109599
dc.identifier.urihttps://hdl.handle.net/20.500.14619/5406
dc.identifier.volume195en_US
dc.identifier.wosWOS:001223613300001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofTribology Internationalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFrictionen_US
dc.subjectLubricating systemen_US
dc.subjectTribological behavioren_US
dc.subjectMachine learningen_US
dc.titleA study on friction induced tribological characteristics of steel 316 L against 100 cr6 alloy under different lubricating conditions with machine learning modelen_US
dc.typeArticleen_US

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