کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
832156 908116 2010 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of flow stress in isothermal compression of Ti–6Al–4V alloy using fuzzy neural network
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
Prediction of flow stress in isothermal compression of Ti–6Al–4V alloy using fuzzy neural network
چکیده انگلیسی

Isothermal compression of Ti–6Al–4V alloy at the deformation temperatures ranging from 1093 K to 1303 K with an interval 20 K, the strain rates ranging from 0.001 s−1 to 10.0 s−1 and the height reductions ranging from 20% to 60% with an interval 10% were carried out on a Thermecmaster-Z simulator. Based on the experimental results, a model for the flow stress in isothermal compression of Ti–6Al–4V alloy was established in terms of the fuzzy neural network (FNN) with a back-propagation learning algorithm using strain, strain rate and deformation temperature as inputs. The maximum difference and the average difference between the predicted and the experimental flow stress are 18.7% and 4.76%, respectively. The comparison between the predicted results based on the FNN model for flow stress and those using the regression method has illustrated that the FNN model is more efficient in predicting the flow stress of Ti–6Al–4V alloy.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Materials & Design - Volume 31, Issue 6, June 2010, Pages 3078–3083
نویسندگان
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