کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
653148 1457488 2015 4 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Applicability of artificial neural network and nonlinear regression to predict thermal conductivity modeling of Al2O3–water nanofluids using experimental data
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی جریان سیال و فرایندهای انتقال
پیش نمایش صفحه اول مقاله
Applicability of artificial neural network and nonlinear regression to predict thermal conductivity modeling of Al2O3–water nanofluids using experimental data
چکیده انگلیسی

In the present study, the thermal conductivity of Al2O3–water nanofluid at different temperatures and solid volume fractions has been modeled by artificial neural network (ANN) and correlation using experimental data. The thermal conductivity of the nanofluids at different fluid temperatures, ranging from 26 to 55 °C is employed as training data for ANN. Furthermore, based on the experimental data and using artificial neural network, a correlation for modeling the thermal conductivity of the nanofluid in terms of temperature and solid volume fraction is proposed. The results show that the proposed correlation has good ability for predicting the thermal conductivity of the nanofluids. On the other hand, the ANN model shows excellent agreement with the results of the experimental data.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Communications in Heat and Mass Transfer - Volume 66, August 2015, Pages 246–249
نویسندگان
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