年間 6 号発行
ISSN 印刷: 1543-1649
ISSN オンライン: 1940-4352
Indexed in
NUMERICAL MODELING OF PHASE TRANSFORMATION IN DUAL PHASE (DP) STEEL AFTER HOT ROLLING AND LAMINAR COOLING
要約
Continuous development of the automotive industry is associated with the search for construction materials that combine high strength with good plastic properties and which allow improvement of the process technology. DP steels meet the high requirements for materials currently used in the automotive industry. Production of DP steels is a very complex process requiring precise control of technological parameters during thermo-mechanical treatment. Design of these processes can be significantly improved by the numerical models of phase transformations occurring in the DP steels. The main aim of this work is multiscale modeling of the austenite decomposition into ferrite, bainite, and martensite in processes of laminar cooling. Partial differential diffusion equation of carbon diffusion is solved with a moving boundary (Stefan problem). The solution was performed in the real microstructure of austenite, which was obtained using the electron microscope image and digital material representation. The developed model based on finite element modeling (FEM) solution of a diffusion equation allows one to determine phase volume fractions, grain size, and carbon segregation before the front of transformation in fluctuating temperature conditions. Results of numerical simulations were used for development of the relationship between microstructure and mechanical properties of DP steel strips.
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Bzowski K., Bachniak D., Pernach M., Pietrzyk M., Sensitivity analysis of phase transformation model based on solution of diffusion equation, Archives of Civil and Mechanical Engineering, 16, 2, 2016. Crossref
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Milenin Andriy, Rec Tomasz, Walczyk Wojciech, Pietrzyk Maciej, Model of Curvature of Crankshaft Blank During Heat Treatment, Accounting for Phase Transformations, steel research international, 87, 4, 2016. Crossref
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References, in Computational Materials Engineering, 2015. Crossref
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Wrożyna Andrzej, Pernach Monika, Kuziak Roman, Pietrzyk Maciej, Experimental and Numerical Simulations of Phase Transformations Occurring During Continuous Annealing of DP Steel Strips, Journal of Materials Engineering and Performance, 25, 4, 2016. Crossref
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Xu Xiao-qing, Hao Xiao-dong, Zhou Shi-guang, Liu Chang-sheng, Zhang Qi-fu, Model Algorithm Research on Cooling Path Control of Hot-rolled Dual-phase Steel, Journal of Iron and Steel Research International, 23, 10, 2016. Crossref
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Pietrzyk Maciej, Madej Lukasz, Perceptive Review of Ferrous Micro/Macro Material Models for Thermo-Mechanical Processing Applications, steel research international, 88, 10, 2017. Crossref
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Bachniak Daniel, Rauch Lukasz, Pietrzyk Maciej, Kusiak Jan, Selection of the optimization method for identification of phase transformation models for steels, Materials and Manufacturing Processes, 32, 11, 2017. Crossref
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Bzowski Krzysztof, Rauch Lukasz, Pietrzyk Maciej, Application of statistical representation of the microstructure to modeling of phase transformations in DP steels by solution of the diffusion equation, Procedia Manufacturing, 15, 2018. Crossref
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Rauch Łukasz, Bachniak Daniel, Kuziak Roman, Kusiak Jan, Pietrzyk Maciej, Problem of Identification of Phase Transformation Models Used in Simulations of Steels Processing, Journal of Materials Engineering and Performance, 27, 11, 2018. Crossref
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Costa , Altamirano , Salinas , González-González , Goodwin , Optimization of the Continuous Galvanizing Heat Treatment Process in Ultra-High Strength Dual Phase Steels Using a Multivariate Model, Metals, 9, 6, 2019. Crossref
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Milenin Ivan, Kuziak Roman, Rauch Łukasz, Pietrzyk Maciej, Model of phase transformations in steels subject to heating-cooling thermal cycles in continuous annealing line, Canadian Metallurgical Quarterly, 58, 3, 2019. Crossref
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Reséndiz-Flores Edgar O., Altamirano-Guerrero Gerardo, Costa Patricia S., Salas-Reyes Antonio E., Salinas-Rodríguez Armando, Goodwin Frank, Optimal Design of Hot-Dip Galvanized DP Steels via Artificial Neural Networks and Multi-Objective Genetic Optimization, Metals, 11, 4, 2021. Crossref