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Artificial neural network models for production of nano-grained structure in AISI 304L stainless steel by predicting thermo-mechanical parameters
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نویسنده
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Forouzan F. ,Najafizadeh A. ,Kermanpur A. ,Hedayati A.
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منبع
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international journal of iron and steel society of iran - 2009 - دوره : 6 - شماره : 2 - صفحه:6 -13
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چکیده
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An artificial neural network (ann) model is developed for the analysis, simulation, and prediction of theaustenite 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.
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کلیدواژه
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Metals and alloys ,Phase transitions ,Computer simulations
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آدرس
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isfahan university of technology, Department of Materials Engineering, ایران, isfahan university of technology, Department of Materials Engineering, ایران, isfahan university of technology, Department of Materials Engineering, ایران, isfahan university of technology, Department of Materials Engineering, ایران
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پست الکترونیکی
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f.forouzan@ma. int. ac. ir
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Authors
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