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Integrated Process Simulation of Non-Oriented Electrical Steel

A tailor-made microstructure, especially regarding grain size and texture, improves the magnetic properties of non-oriented electrical steels. One way to adjust the microstructure is to control the production and processing in great detail. Simulation and modeling approaches can help to evaluate the...

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Autores principales: Stöcker, Anett, Weiner, Max, Korpała, Grzegorz, Prahl, Ulrich, Wei, Xuefei, Lohmar, Johannes, Hirt, Gerhard, Heller, Martin, Korte-Kerzel, Sandra, Böhm, Lucas, Volk, Wolfram, Leuning, Nora, Hameyer, Kay, Kawalla, Rudolf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587848/
https://www.ncbi.nlm.nih.gov/pubmed/34772182
http://dx.doi.org/10.3390/ma14216659
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author Stöcker, Anett
Weiner, Max
Korpała, Grzegorz
Prahl, Ulrich
Wei, Xuefei
Lohmar, Johannes
Hirt, Gerhard
Heller, Martin
Korte-Kerzel, Sandra
Böhm, Lucas
Volk, Wolfram
Leuning, Nora
Hameyer, Kay
Kawalla, Rudolf
author_facet Stöcker, Anett
Weiner, Max
Korpała, Grzegorz
Prahl, Ulrich
Wei, Xuefei
Lohmar, Johannes
Hirt, Gerhard
Heller, Martin
Korte-Kerzel, Sandra
Böhm, Lucas
Volk, Wolfram
Leuning, Nora
Hameyer, Kay
Kawalla, Rudolf
author_sort Stöcker, Anett
collection PubMed
description A tailor-made microstructure, especially regarding grain size and texture, improves the magnetic properties of non-oriented electrical steels. One way to adjust the microstructure is to control the production and processing in great detail. Simulation and modeling approaches can help to evaluate the impact of different process parameters and finally select them appropriately. We present individual model approaches for hot rolling, cold rolling, annealing and shear cutting and aim to connect the models to account for the complex interrelationships between the process steps. A layer model combined with a microstructure model describes the grain size evolution during hot rolling. The crystal plasticity finite-element method (CPFEM) predicts the cold-rolling texture. Grain size and texture evolution during annealing is captured by the level-set method and the heat treatment model GraGLeS2D+. The impact of different grain sizes across the sheet thickness on residual stress state is evaluated by the surface model. All models take heterogeneous microstructures across the sheet thickness into account. Furthermore, a relationship is established between process and material parameters and magnetic properties. The basic mathematical principles of the models are explained and demonstrated using laboratory experiments on a non-oriented electrical steel with [Formula: see text] wt.% Si as an example.
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spelling pubmed-85878482021-11-13 Integrated Process Simulation of Non-Oriented Electrical Steel Stöcker, Anett Weiner, Max Korpała, Grzegorz Prahl, Ulrich Wei, Xuefei Lohmar, Johannes Hirt, Gerhard Heller, Martin Korte-Kerzel, Sandra Böhm, Lucas Volk, Wolfram Leuning, Nora Hameyer, Kay Kawalla, Rudolf Materials (Basel) Article A tailor-made microstructure, especially regarding grain size and texture, improves the magnetic properties of non-oriented electrical steels. One way to adjust the microstructure is to control the production and processing in great detail. Simulation and modeling approaches can help to evaluate the impact of different process parameters and finally select them appropriately. We present individual model approaches for hot rolling, cold rolling, annealing and shear cutting and aim to connect the models to account for the complex interrelationships between the process steps. A layer model combined with a microstructure model describes the grain size evolution during hot rolling. The crystal plasticity finite-element method (CPFEM) predicts the cold-rolling texture. Grain size and texture evolution during annealing is captured by the level-set method and the heat treatment model GraGLeS2D+. The impact of different grain sizes across the sheet thickness on residual stress state is evaluated by the surface model. All models take heterogeneous microstructures across the sheet thickness into account. Furthermore, a relationship is established between process and material parameters and magnetic properties. The basic mathematical principles of the models are explained and demonstrated using laboratory experiments on a non-oriented electrical steel with [Formula: see text] wt.% Si as an example. MDPI 2021-11-04 /pmc/articles/PMC8587848/ /pubmed/34772182 http://dx.doi.org/10.3390/ma14216659 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Stöcker, Anett
Weiner, Max
Korpała, Grzegorz
Prahl, Ulrich
Wei, Xuefei
Lohmar, Johannes
Hirt, Gerhard
Heller, Martin
Korte-Kerzel, Sandra
Böhm, Lucas
Volk, Wolfram
Leuning, Nora
Hameyer, Kay
Kawalla, Rudolf
Integrated Process Simulation of Non-Oriented Electrical Steel
title Integrated Process Simulation of Non-Oriented Electrical Steel
title_full Integrated Process Simulation of Non-Oriented Electrical Steel
title_fullStr Integrated Process Simulation of Non-Oriented Electrical Steel
title_full_unstemmed Integrated Process Simulation of Non-Oriented Electrical Steel
title_short Integrated Process Simulation of Non-Oriented Electrical Steel
title_sort integrated process simulation of non-oriented electrical steel
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587848/
https://www.ncbi.nlm.nih.gov/pubmed/34772182
http://dx.doi.org/10.3390/ma14216659
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