Residual thermal stress analysis in cylindrical steel bars using finite element method and artificial neural networks

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dc.contributor.authorToparli M.
dc.contributor.authorSahin S.
dc.contributor.authorOzkaya E.
dc.contributor.authorSasaki S.
dc.date.accessioned2024-07-22T08:25:12Z
dc.date.available2024-07-22T08:25:12Z
dc.date.issued2002
dc.description.abstractIn this study, it was proposed that the residual stresses within steel bars after quenching in water from 600 °C could be calculated by using the finite element method (FEM) and an artificial neural network (ANN) algorithm. Three modelled cylindrical specimens of AISI 1020 steel were heated and then quenched in water. Using FEM, temperature distribution with time and thermal residual stress values in the samples were calculated after cooling. The analysis was extended to elastic-plastic deformation during the quenching of steel cylinders of various diameters. The calculated temperature and thermal residual stress values were used in training a multi-layer, feed forward, back propagation ANN algorithm. The results obtained via the ANN algorithm method have been compared with the FEM results. Comparison showed good agreement. © 2002 Elsevier Science Ltd. All rights reserved.
dc.identifier.DOI-ID10.1016/S0045-7949(02)00215-8
dc.identifier.issn00457949
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/20318
dc.language.isoEnglish
dc.subjectAlgorithms
dc.subjectCooling
dc.subjectElastoplasticity
dc.subjectFinite element method
dc.subjectNeural networks
dc.subjectQuenching
dc.subjectResidual stresses
dc.subjectSteel structures
dc.subjectThermal stress
dc.subjectSteel bars
dc.subjectBars (metal)
dc.titleResidual thermal stress analysis in cylindrical steel bars using finite element method and artificial neural networks
dc.typeArticle

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