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A Comparative Study of Classical Models for Effective Thermal Conductivity of Nanofluids Filled with Al2O3/CuO Nanoparticles

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Liquids with suspended nanoparticles called nanofluids are likely to be the future heat transfer fluids since their thermal conductivities are significantly higher than that of base fluid even when the nanoparticle concentrations are negligibly small. In the present work a comparative study of classical models such as Maxwell model, Russell model, Nielsen model and Heat transfer model have been studied for effective thermal conductivity (ETC) of nanofluids filled with Al2O3/CuO nano particles. The classical models have been modified by introducing a nanolayer for calculating ETC. Prediction of ETC of nanofluids filled with Al2O3/CuO nanoparticles is done through these modified classical models. The enhancement in the ETC of nanofluids may be due to the distribution of volume fraction at the liquid particle interface. Artificial neural network (ANN) technique has also been used for calculating the ETC of nanofluids. The results of the models have been compared with the results of ANN technique and available experimental results in literature.
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Keywords: ARTIFICIAL NEURAL NETWORK TECHNIQUE (ANN); EFFECTIVE THERMAL CONDUCTIVITY; EFFECTIVE VOLUME FRACTION; NANOLAYER

Document Type: Research Article

Publication date: September 1, 2015

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  • Journal of Advanced Physics is an interdisciplinary peer-reviewed journal consolidating research activities in all experimental and theoretical aspects of advanced physics. The journal aims in publishing articles of novel and frontier physics that merit the attention and interest of the whole physics community. JAP publishes review articles, full research articles, short communications of important new scientific and technological findings in all latest research aspects of physics.
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