Utilization of advanced computational methods to predict spring-back of aluminium alloys in automotive industry

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dc.contributor.authorSolfronk Pavelcs
dc.contributor.authorSobotka Jiřícs
dc.contributor.authorKoreček Davidcs
dc.date.accessioned2021-01-14T18:04:06Z
dc.date.available12-58-2020en
dc.date.available2021-01-14T18:04:06Z
dc.date.issued2020cs
dc.date.updated01-00-1970en
dc.format.extent6cs
dc.identifier.doiDOI: 10.21062/mft.2020.006
dc.identifier.issn1213-2489cs
dc.identifier.urihttps://dspace.tul.cz/handle/15240/158510
dc.language.isoengcs
dc.publisherUJEPcs
dc.publisher.cityÚstí nad Labemcs
dc.relation.ispartofManufacturing Technologyen
dc.relation.ispartofseries1cs
dc.relation.urihttps://www.journalmt.com/pdfs/mft/2020/01/06.pdfcs
dc.subjectAluminium Alloyscs
dc.subjectSpring-backcs
dc.subjectYield Criterioncs
dc.subjectNumerical Simulationcs
dc.subjectBauschinger Effectcs
dc.titleUtilization of advanced computational methods to predict spring-back of aluminium alloys in automotive industryen
dc.titleUtilization of advanced computational methods to predict spring-back of aluminium alloys in automotive industrycs
local.citation.epage98-103cs
local.citation.spage98-103cs
local.identifier.publikace7837
local.relation.issue1cs
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