کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
773089 | 1462911 | 2006 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Predictions of temperature distributions on layered metal plates using artificial neural networks
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی (عمومی)
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
The back propagation learning algorithm with three different variants, single layer and logistic sigmoid transfer function have been used in the network. By using the weights of the network, formulations have been given for each output. The network has yielded R2 values of 0.999 and the mean percent errors are smaller than 0.8 for the training data, while the R2 values are about 0.999 and the mean percent errors are smaller than 0.7 for the test data. The analysis has been extended for different materials and for the different temperature values that have been applied. The Al/CrNi laminated plate has a lower temperature gradient distribution on the upper (or non-heated) surface due to its lesser heat conductivity compared to the Cu/CrNi steel. The thickness of 8Â mm provides the best results among the alloys that have been considered.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy Conversion and Management - Volume 47, Issues 15â16, September 2006, Pages 2361-2370
Journal: Energy Conversion and Management - Volume 47, Issues 15â16, September 2006, Pages 2361-2370
نویسندگان
Tahir Ayata, Abdullah ÃavuÅogËlu, Erol ArcaklıogËlu,