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The effect of hot processing parameters on the microstructure of Ti 15 3 alloy after solution treatment was studied by isothermal compression test and metallurgical analysis. Predicting models for the relations between equivalent grain size and recrystallized grain volume percent with strain,strain rate and temperature have been developed with an artificial neural network method. The coincidence of predicted results with measured ones shows that the neural network can predict the influence of hot deformation parameters on the microstructure of Ti 15 3 alloy after solution treatment successfully. These studies are significant for determining hot forging processing parameters of Ti 15 3 alloy.
The effect of hot processing parameters on the microstructure of Ti 15 3 alloy after solution treatment was studied by isothermal compression test and metallurgical analysis. Predicting models for the relations between equivalent grain size and recrystallized grain volume percent with strain, strain rate and temperature have been The coincidence of predicted results with measured ones shows that the neural network can predict the influence of hot deformation parameters on the microstructure of Ti 15 3 alloy after solution treatment successfully. These studies are significant for determining hot forgingging processing parameters of Ti 15 3 alloy.