Fatigue limit prediction and analysis of nano-structured AISI 304 steel by severe shot peening via ANN

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dc.authoridMaleki, Erfan/0000-0002-5995-1869
dc.contributor.authorMaleki, Erfan
dc.contributor.authorUnal, Okan
dc.date.accessioned2024-09-29T15:51:03Z
dc.date.available2024-09-29T15:51:03Z
dc.date.issued2021
dc.departmentKarabük Üniversitesien_US
dc.description.abstractAISI 304 stainless steel is very widely used for industrial applications due to its good integrated performance and corrosion resistance. However, shot peening (SP) is known as one of the effectual surface treatments processes to provide superior properties in metallic materials. In the present study, a comprehensive study on SP of AISI 304 steel including 42 different SP treatments with a wide range of Almen intensities of 14-36 A and various coverage of 100-2000% was carried out. Varieties of experiments were accomplished for the investigation of the microstructure, grain size, surface topography, hardness and residual stresses as well as axial fatigue behavior. After experimental investigations, artificial neural networks modeling was carried out for parametric analysis and optimization. The results indicated that, treated specimens with higher severity had more desirable properties and performances.en_US
dc.identifier.doi10.1007/s00366-020-00964-6
dc.identifier.endpage2678en_US
dc.identifier.issn0177-0667
dc.identifier.issn1435-5663
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85079402280en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage2663en_US
dc.identifier.urihttps://doi.org/10.1007/s00366-020-00964-6
dc.identifier.urihttps://hdl.handle.net/20.500.14619/3861
dc.identifier.volume37en_US
dc.identifier.wosWOS:000516073800002en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofEngineering With Computersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAISI 304 stainless steelen_US
dc.subjectShot peeningen_US
dc.subjectFatigue limiten_US
dc.subjectArtificial neural networksen_US
dc.subjectOptimizationen_US
dc.titleFatigue limit prediction and analysis of nano-structured AISI 304 steel by severe shot peening via ANNen_US
dc.typeArticleen_US

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