Through process stochastic model of hot strip rolling
SZELIGA Danuta, CZYŻEWSKA Natalia, KUSIAK Jan, OPROCHA Piotr, PIETRZYK Maciej, PRZYBYŁOWICZ Paweł
download PDFAbstract. Advanced numerical models, which predict heterogeneity of microstructural features, are needed to design modern multiphase steels. Models based on stochastic internal variables meet this requirement. Our objective was to account for the random character of the recrystallization and to transfer this randomness to equations describing the evolution of the dislocations and the grain size during hot deformation. The idea of the internal variable model with the dislocation density and the grain size being stochastic variables is described briefly in the paper. Histograms of the grain size measured in the experimental compression tests were used to identify the coefficients in the model. Inverse analysis with the objective function based on the distance between histograms was applied. The model was used to simulation of the various technological routes in the industrial process of the hot strip rolling.
Keywords
Internal Variables, Stochastic Model, Hot Strip Rolling, DP Steel, Microstructure Evolution
Published online 4/19/2023, 10 pages
Copyright © 2023 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: SZELIGA Danuta, CZYŻEWSKA Natalia, KUSIAK Jan, OPROCHA Piotr, PIETRZYK Maciej, PRZYBYŁOWICZ Paweł, Through process stochastic model of hot strip rolling, Materials Research Proceedings, Vol. 28, pp 1631-1640, 2023
DOI: https://doi.org/10.21741/9781644902479-176
The article was published as article 176 of the book Material Forming
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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