Conventional and new generation models of microstructure evolution during hot forming of steels
نویسندگان
چکیده
The objective of the paper is discussion of various methods of modelling microstructure evolution during hot forming of steels. Commonly used conventional models based on closed form equations are compared with novel approaches based on artificial neural networks (ANN) and on multiscale models. Predictive capabilities of various models are discussed. Basic principles of the ANN and multiscale models developed by the Authors, as well as results regarding digital representation of materials and modelling of recrystallization, are described in the paper. Comparison of numerical results with the experiment is presented.
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