کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
832594 | 908122 | 2009 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Modelling of wrinkling in deep drawing of different grades of annealed commercially pure aluminium sheets when drawn through a conical die using artificial neural network
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موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Modelling of wrinkling in deep drawing of different grades of annealed commercially pure aluminium sheets when drawn through a conical die using artificial neural network Modelling of wrinkling in deep drawing of different grades of annealed commercially pure aluminium sheets when drawn through a conical die using artificial neural network](/preview/png/832594.png)
چکیده انگلیسی
This paper presents an artificial neural network (ANN) model for predicting and avoiding surface failure such as wrinkling of sheet metals. Commercially pure aluminium sheets of different grades are drawn into cylindrical cups through conical die. An ANN model has been developed to map the mechanical properties and instantaneous geometry features of deep drawing process. This model is a feed forward backpropagation neural network and is trained and tested with pairs of inputs/outputs data. A very good performance of the neural network, in terms of agreement with the experimental data has been achieved. This model can be used for analysis and prediction of onset of wrinkling.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Materials & Design - Volume 30, Issue 8, September 2009, Pages 3193–3205
Journal: Materials & Design - Volume 30, Issue 8, September 2009, Pages 3193–3205
نویسندگان
S. Sivasankaran, R. Narayanasamy, R. Jeyapaul, C. Loganathan,