Artificial neural network models for production of nano-grained structure in AISI 304L stainless steel by predicting thermo-mechanical parameters

Document Type : Research Paper

Authors

Department of Materials Engineering,IsfahanUniversity of Technology,Isfahan 84156-83111,Iran

Abstract

An artificial neural network (ANN) model is developed for the analysis, simulation, and prediction of the austenite reversion in the thermo-mechanical treatment of 304L austenitic stainless steel. The results of the ANN model are in good agreement with the experimental data. The model is used to predict an appropriate annealing condition for austenite reversion through the martensite to austenite transformation. This model can also be used as a guide for further grain refining and to improve mechanical properties of the AISI 304L stainless steel.

Keywords

References

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International Journal of Iron & Steel Society of Iran
Volume 6, Issue 2 - Serial Number 2
December 2009
Pages 6-13

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