کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
832940 | 908128 | 2009 | 4 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Modeling the reversion of martensite in the cold worked AISI 304 stainless steel by artificial neural networks
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
In this paper, the effect of annealing temperature and time on the reversion of strain-induced martensite to austenite in the cold worked AISI 304 stainless steel alloy was modeled by means of artificial neural networks (ANNs). The optimal ANN architecture and training algorithm were determined. The results of the ANN model were in good agreement with experimental data taken from the literature. This model can be used for determination of appropriate annealing temperature and time for grain refining of austenite through the martensite to austenite transformation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Materials & Design - Volume 30, Issue 3, March 2009, Pages 570–573
Journal: Materials & Design - Volume 30, Issue 3, March 2009, Pages 570–573
نویسندگان
H. Mirzadeh, A. Najafizadeh,