Abstract: Incorporated with constitutive relationship established by
artificial neural networks(ANN),a coupled thermoviscoplastic
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 distribution of the grain size over the
cross-section of stigmata, which is found to be in good agreement
with the experimental results. The software can provide a
fundament for optimizing technological parameters.
Key words: Finite
element method Microstructure evolution
Manuscript received on
March 25, 1999; revised manuscript May 4, 1999
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