کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1562640 999592 2010 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of the hot deformation behavior for Aermet100 steel using an artificial neural network
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
پیش نمایش صفحه اول مقاله
Prediction of the hot deformation behavior for Aermet100 steel using an artificial neural network
چکیده انگلیسی

Using the experimental data obtained from hot compression tests in the temperature range 800–1200 °C, strain range 0.05–0.90, and strain rate range 0.01–50 s−1, an artificial neural network (ANN) model is developed to predict the hot deformation behavior of the ultrahigh strength steel of Aermet100. The inputs of the neural network are strain, strain rate and temperature, whereas flow stress is the output. The developed feed-forward back-propagation ANN model is trained with Levenberg–Marquardt learning algorithm. The performance of the ANN model is evaluated using a wide variety of standard statistical indices. Results show that the ANN model can efficiently and accurately predict hot deformation behavior of Aermet100. Finally the extrapolation ability and noise sensitivity of the ANN model are also investigated. It is found that the extrapolation ability is very high in the proximity of the training domain, and the noise tolerance ability very robust.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Materials Science - Volume 48, Issue 3, May 2010, Pages 626–632
نویسندگان
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