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Integrated Process Simulation of Non-Oriented Electrical Steel.
Stöcker, Anett; Weiner, Max; Korpala, Grzegorz; Prahl, Ulrich; Wei, Xuefei; Lohmar, Johannes; Hirt, Gerhard; Heller, Martin; Korte-Kerzel, Sandra; Böhm, Lucas; Volk, Wolfram; Leuning, Nora; Hameyer, Kay; Kawalla, Rudolf.
Afiliación
  • Stöcker A; Institute of Metal Forming, TU Bergakademie Freiberg, 09596 Freiberg, Germany.
  • Weiner M; Institute of Metal Forming, TU Bergakademie Freiberg, 09596 Freiberg, Germany.
  • Korpala G; Institute of Metal Forming, TU Bergakademie Freiberg, 09596 Freiberg, Germany.
  • Prahl U; Institute of Metal Forming, TU Bergakademie Freiberg, 09596 Freiberg, Germany.
  • Wei X; Institute of Metal Forming, RWTH Aachen University, 52056 Aachen, Germany.
  • Lohmar J; Institute of Metal Forming, RWTH Aachen University, 52056 Aachen, Germany.
  • Hirt G; Institute of Metal Forming, RWTH Aachen University, 52056 Aachen, Germany.
  • Heller M; Institute of Physical Metallurgy and Materials Physics, RWTH Aachen University, 52074 Aachen, Germany.
  • Korte-Kerzel S; Institute of Physical Metallurgy and Materials Physics, RWTH Aachen University, 52074 Aachen, Germany.
  • Böhm L; Chair of Metal Forming and Casting, TU München, 85748 Garching, Germany.
  • Volk W; Chair of Metal Forming and Casting, TU München, 85748 Garching, Germany.
  • Leuning N; Institute of Electrical Machines, RWTH Aachen University, 52062 Aachen, Germany.
  • Hameyer K; Institute of Electrical Machines, RWTH Aachen University, 52062 Aachen, Germany.
  • Kawalla R; Institute of Metal Forming, TU Bergakademie Freiberg, 09596 Freiberg, Germany.
Materials (Basel) ; 14(21)2021 Nov 04.
Article en En | MEDLINE | ID: mdl-34772182
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 3.16 wt.% Si as an example.
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Materials (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Materials (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Alemania