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

نویسندگان
Hedayati, A. ID 1
Forouzan, F. ID 2
Najafizadeh, A. ID 3
Kermanpur, A. ID 4

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

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

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

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

doi
چکیده

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.

کلیدواژه‌ها
Metals and alloys, Phase transitions, Computer simulations