| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Kestens, Leo A. I.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (14/14 displayed)
- 2024Comparative analysis of crystal plasticity models in predicting deformation texture in IF-Steelcitations
- 2023Evaluation of 3D-Printed Magnetic Materials For Additively-Manufactured Electrical Machinescitations
- 2023Process optimization and characterization of dense pure copper parts produced by paste-based 3D micro-extrusioncitations
- 2023Material Engineering of 3D-Printed Silicon Steel Alloys for the Next Generation of Electrical Machines and Sustainable Electromobilitycitations
- 2022Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulationscitations
- 2022Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulationscitations
- 2022Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations.citations
- 2022The Role of Parent Phase Topology in Double Young–Kurdjumow–Sachs Variant Selection during Phase Transformation in Low-Carbon Steelscitations
- 2021Microstructure, Anisotropy and Formability Evolution of an Annealed AISI 430 Stainless Steel Sheetcitations
- 2017Use of local electrochemical methods (SECM, EC-STM) and AFM to differentiate microstructural effects (EBSD) on very pure coppercitations
- 2016The effect of heating rate on the recrystallization behavior in cold rolled ultra low carbon steelcitations
- 2015Shear banding and its contribution to texture evolution in rotated Goss orientations of BCC structured materialscitations
- 2012Texture evolution during asymmetrical warm rolling and subsequent annealing of electrical steelcitations
- 2012Texture Control in Steel and Aluminium Alloys by Rolling and Recrystallization in Non-Conventional Sheet Manufacturingcitations
Places of action
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document
Texture evolution during asymmetrical warm rolling and subsequent annealing of electrical steel
Abstract
The core loss and magnetic induction of electrical steels are dependent on the microstructure and texture of the material, which are produced by the thermo-mechanical processing. After a conventional rolling process, crystal orientations of the alpha-(< 110 >//RD) and gamma-(< 111 >//ND) fibers are strongly present in the final texture. These fibers have a drastically negative effect on the magnetic properties of electrical steels. By applying asymmetric rolling, significant shear strains could be introduced across the thickness of the sheet and thus a deformation texture with more magnetically favorable components is expected. In this study, an electrical steel of 1.23 wt.% Si was subjected to asymmetric warm rolling in a rolling mill with different roll diameters. The evolutions of both deformed and annealed textures were investigated. The texture evolution during asymmetric warm rolling was analyzed by crystal plasticity simulations using the ALAMEL model. A good fit between measured and calculated textures was obtained. The annealing texture could be understood in terms of an oriented nucleation model that selects crystal orientations with a lower than average stored energy of plastic deformation.