Abstract
Modelling of the microstructure evolution of aluminium alloys during thermomechanical processing is a desirable method in predicting the alloys properties and designing the process variables to achieve the desired goals. A dynamic model has been developed based on the internal states variables of the process such as the internal dislocation density, the subgrain size, and the misorientation between the subgrains. The developed model consists of a hybrid modelling techniques known as grey-box modelling where intelligent models and physical equations are mixed to predict the material properties with respect to the deformation conditions. In the model, the stress and recrystallisation conditions are predicted and compared to experimental data for Al-l%Mg alloy.
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