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dc.contributor.authorNikitjuk, Y.V.-
dc.contributor.authorBayevich, G.A.-
dc.contributor.authorMyshkovets, V.N.-
dc.contributor.authorMaximenko, A.V.-
dc.contributor.authorAushev, I.Y.-
dc.contributor.authorНикитюк, Ю.В.-
dc.contributor.authorБаевич, Г.А.-
dc.contributor.authorМышковец, В.Н.-
dc.contributor.authorМаксименко, А.В.-
dc.date.accessioned2021-11-01T11:53:18Z-
dc.date.available2021-11-01T11:53:18Z-
dc.date.issued2021-
dc.identifier.citationCharacterization of laser welding of steel 30ХГСН2А by combining artificial neural networks and finite element method / Y.V. Nikitjuk [et al.] // Inter-Academia 2021 : the 19th International Conference on Global Research and Education (Gomel, Belarus, 20 – 22 October, 2021) / S.A. Khakhomov, I.V. Semchenko, O.M. Demidenko, D.L. Kovalenko, A.A. Sereda, T.V. Lozovskaya ; F. Skorina Gomel State UniversityGomel. - Gomel, 2021 - P. 124-126.ru
dc.identifier.urihttp://elib.gsu.by/jspui/handle/123456789/29413-
dc.description.abstractThe paper presents the calculation of the temperature fields, created at different depths, via artificial neural networks and the finite element method during laser welding of steel 30ХГСН2А. The training data array and the array data for testing neural networks were created using ANSYS.ru
dc.language.isoАнглийскийru
dc.publisherF. Skorina Gomel State Universityru
dc.titleCharacterization of laser welding of steel 30ХГСН2А by combining artificial neural networks and finite element methodru
dc.typeArticleru
dc.rootInter-Academia 2021 : the 19th International Conference on Global Research and Education (Gomel, Belarus, 20 – 22 October, 2021)ru
dc.placeOfPublicationGomelru
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