Surface layer nanocrystallization of carbon steels subjected to severe shot peening: Analysis and optimization

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dc.authoridReza Kashyzadeh, Kazem/0000-0003-0552-9950
dc.authoridMaleki, Erfan/0000-0002-5995-1869
dc.contributor.authorMaleki, Erfan
dc.contributor.authorUnal, Okan
dc.contributor.authorKashyzadeh, Kazem Reza
dc.date.accessioned2024-09-29T15:57:51Z
dc.date.available2024-09-29T15:57:51Z
dc.date.issued2019
dc.departmentKarabük Üniversitesien_US
dc.description.abstractSevere shot peening (SSP) process is widely used for surface nanocrysallization of a bulk material that demonstrates excellent mechanical properties compared with its coarse-grained equivalents. In this study, a plastically deformed surface was produced with nanostructured grains on different materials of AISI 1045, 1050, and 1060 carbon steels by means of SSP. Shot peening was applied with a wide range of Almen intensities and coverages. Optical microscopy, scanning electron microscopy, field emission scanning electron microscopy, high resolution transmission electron microscope observations, and X-ray diffraction analysis were employed to analyze the mechanism of grain refinement experimentally as well as the surface roughness and residual stress measurements. Afterwards, different shot peening treatments were used to develop a novel alternative approach based on artificial neural network (ANN) for modelling as well as parametric and sensitivity analysis of grain refinement and surface roughness. The experimental results were utilized to implement the ANN. The modelling results indicated that the neural network-based approach can be used to effectively analyze nanocrystallization and roughness variations of the shot peened carbon steels.en_US
dc.identifier.doi10.1016/j.matchar.2019.109877
dc.identifier.issn1044-5803
dc.identifier.issn1873-4189
dc.identifier.scopus2-s2.0-85071838349en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.matchar.2019.109877
dc.identifier.urihttps://hdl.handle.net/20.500.14619/5030
dc.identifier.volume157en_US
dc.identifier.wosWOS:000496898300016en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Science Incen_US
dc.relation.ispartofMaterials Characterizationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectShot peeningen_US
dc.subjectSurface nanocrystallizationen_US
dc.subjectModellingen_US
dc.subjectArtificial neural networken_US
dc.titleSurface layer nanocrystallization of carbon steels subjected to severe shot peening: Analysis and optimizationen_US
dc.typeArticleen_US

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