کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4990461 | 1457103 | 2017 | 22 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Designing a neural network for predicting the heat transfer and pressure drop characteristics of Ag/water nanofluids in a heat exchanger
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
جریان سیال و فرایندهای انتقال
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Designing a neural network for predicting the heat transfer and pressure drop characteristics of Ag/water nanofluids in a heat exchanger Designing a neural network for predicting the heat transfer and pressure drop characteristics of Ag/water nanofluids in a heat exchanger](/preview/png/4990461.png)
چکیده انگلیسی
Nanofluids are advanced liquids with a relatively high production cost. Experiments that are performed to detect nanofluid characteristics in various thermal systems could be replaced by modeling tools to reduce the expenses. The present paper deals with the post-processing of experimental data on the flow and heat transfer in a nanofluid-based double tube heat exchanger using an artificial neural network. Relative values of Nusselt number and pressure drop in the heat exchanger are modeled where Ag/water nanofluids with volume fractions up to 1% have been exploited as the working fluid. The results of present work unveil the ability of neural network to predict the data with excessive noise. The data regression coefficients for the relative Nusselt number and relative pressure drop are 99.76% and 99.54%, respectively, which show the high accuracy of the applied method.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Thermal Engineering - Volume 126, 5 November 2017, Pages 559-565
Journal: Applied Thermal Engineering - Volume 126, 5 November 2017, Pages 559-565
نویسندگان
Mohammad Hemmat Esfe,