ISSN Online: 2377-424X
ISBN Print: 978-1-56700-421-2
International Heat Transfer Conference 15
Convective Heat Transfer Characteristics of Low Concentration CuO-Water Nanofluids in the Turbulent Flow Regime Based on an Artificial Intelligence Models
摘要
In this paper, two models were developed to predict the convective heat transfer characteristics of CuO-water nanofluid in a fully developed turbulent flow by using FCM-based adaptive neuro-fuzzy inference system (FCM-ANFIS), and GA-PNN hybrid system as well as a set of experimental data. Models have the capability to predict the Nusselt number of the nanofluid as a function of Reynolds number, Prandtl number, nanoparticles volume concentration and average nanoparticles diameter. The outputs of the proposed models compared with experimental data and also available correlations. The results showed that the application of artificial intelligent methods in order to model the turbulent convective heat transfer characteristics of CuO-water nanofluid lead to good agreement with the experimental data.