On the efficiency and accuracy of stress integration algorithms for constitutive models based on non-associated flow rule Hippke, Holger, Manopulo, Niko, Yoon, Jeong Whan and Hora, Pavel 2018, On the efficiency and accuracy of stress integration algorithms for constitutive models based on non-associated flow rule, International journal of material forming, vol. 11, no. 2, pp. 239-246, doi: 10.1007/s12289-017-1347-6. Attached Files Name Description MIMEType Size Downloads Title On the efficiency and accuracy of stress integration algorithms for constitutive models based on non-associated flow rule Author(s) Hippke, Holger Manopulo, Niko Yoon, Jeong Whan orcid.org/0000-0002-7616-5253 Hora, Pavel Journal name International journal of material forming Volume number 11 Issue number 2 Start page 239 End page 246 Total pages 8 Publisher Springer Place of publication Paris, France Publication date 2018-03 ISSN 1960-6206 1960-6214 Keyword(s) sheet metal foming FEM non-AFR Language eng DOI 10.1007/s12289-017-1347-6 HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2017, Springer-Verlag France Persistent URL http://hdl.handle.net/10536/DRO/DU:30096671 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Engineering Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 17 May 2017, 14:04:16 EST Thu, 18 May 2017, 05:03:17 EST Thu, 10 Aug 2017, 10:05:51 EST Thu, 10 Aug 2017, 10:08:33 EST Thu, 10 Aug 2017, 10:09:10 EST Fri, 08 Sep 2017, 06:06:00 EST Fri, 08 Sep 2017, 11:42:19 EST Wed, 13 Sep 2017, 14:04:13 EST Wed, 13 Sep 2017, 15:08:38 EST Sat, 07 Apr 2018, 02:31:10 EST Thu, 19 Jul 2018, 13:51:13 EST Thu, 19 Jul 2018, 13:51:52 EST Filtered Full Citation counts:   Cited 3 times in TR Web of Science Cited 4 times in Scopus Search Google Scholar Access Statistics: 308 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Wed, 17 May 2017, 14:04:16 EST

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