Experimental and numerical study of the effects of the reversal hot rolling conditions on the recrystallization behavior of austenite model alloys Muszka, Krzysztof, Sitko, Mateusz, Lisiecka-Graca, Paulina, Simm, Thomas, Palmiere, Eric, Schmidtchen, Matthias, Korpala, Grzegorz, Wang, Jiangting and Madej, Lukasz 2021, Experimental and numerical study of the effects of the reversal hot rolling conditions on the recrystallization behavior of austenite model alloys, Metals, vol. 11, no. 1, doi: 10.3390/met11010026. Attached Files Name Description MIMEType Size Downloads Title Experimental and numerical study of the effects of the reversal hot rolling conditions on the recrystallization behavior of austenite model alloys Author(s) Muszka, Krzysztof Sitko, Mateusz Lisiecka-Graca, Paulina Simm, Thomas Palmiere, Eric Schmidtchen, Matthias Korpala, Grzegorz Wang, Jiangting orcid.org/0000-0002-8171-6291 Madej, Lukasz Journal name Metals Volume number 11 Issue number 1 Total pages 17 Publisher MDPI AG Place of publication Basel, Switzerland Publication date 2021-01 ISSN 2075-4701 Keyword(s) rolling optimization strain reversal Summary The experimental and numerical study of the effects of the recrystallization behavior of austenite model alloys during hot plate rolling on reverse rolling is the main goal of the paper. The computer models that are currently applied for simulation of reverse rolling are not strain-path-sensitive, thus leading to overestimation of the processing parameters outside the accepted process window (e.g., deformation in the partial austenite recrystallization region). Therefore, in this work, a particular focus is put on the investigation of strain path effects that occur during hot rolling and their influence on the microstructure evolution and mechanical properties of microalloyed austenite. Both experimental and numerical techniques are employed in this study, taking advantage of the integrated computational material engineering concept. The combined isotropic–kinematic hardening model is used for the macroscale predictions to take into account softening effects due to strain reversal. The macroscale model is additionally enriched with the full-field microstructure evolution model within the cellular automata framework. Examples of obtained results, highlighting the role of the strain reversal on the microstructural response, are presented within the paper. The combination of the physical simulation of austenitic model alloys and computer modeling provided new insights into optimization of the processing routes of advanced high-strength steels (AHSS). Language eng DOI 10.3390/met11010026 Indigenous content off Field of Research 0914 Resources Engineering and Extractive Metallurgy HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2020, The Authors Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30146976 Document type: Journal Article Collections: Institute for Frontier Materials Open Access Collection GTP Research Related Links Link Description Link to full-text (open access)     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Wed, 13 Jan 2021, 10:34:42 EST Wed, 13 Jan 2021, 13:13:08 EST Fri, 29 Jan 2021, 05:05:50 EST Thu, 18 Mar 2021, 18:39:17 EST Thu, 18 Mar 2021, 18:48:41 EST Fri, 19 Mar 2021, 14:51:25 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 10 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Wed, 13 Jan 2021, 10:34:42 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.