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dc.contributor.authorLiu, Wen_US
dc.contributor.authorPang, Yen_US
dc.date.accessioned2023-05-12T10:41:06Z
dc.date.available2021-04-07en_US
dc.date.issued2021en_US
dc.identifier.issn0268-3768en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/86899
dc.format.extent3401 - 3417en_US
dc.relation.ispartofINTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGYen_US
dc.subjectCrystal plasticityen_US
dc.subjectMulti-scale modellingen_US
dc.subjectPhenomenological yield functionen_US
dc.subjectMechanical anisotropyen_US
dc.titleA multi-scale modelling framework for anisotropy prediction in aluminium alloy sheet and its application in the optimisation of the deep-drawing processen_US
dc.typeArticle
dc.rights.holder© 2021. Published by Springer Nature
dc.identifier.doi10.1007/s00170-021-07060-zen_US
pubs.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000643187600003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue11-12en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume114en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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