DYNAMIC SIMULATION OF MICROSTRUCTURE EVOLUTION DURING HOT FORGING FOR ENGINE STIGMATA

摘要

Incorporated with constitutive relationship established by artificial neural networks (ANN), a coupled thermovisocoplastic finite element procedure is developed for predicting the microstructure evolution in the hot forging process, considering the factors such as dynamic recrystallization, static recrystallization and grain growth etc. This software system is applied to predict the distributions of the grain size over the cross- section of stigmata, which is found to be in god agreement with the experimental results. The software can provide a fundament for optimizing technological parameters.