作者: Mohammad Hemmat Esfe , Ali Naderi , Mohammad Akbari , Masoud Afrand , Arash Karimipour
DOI: 10.1007/S10973-015-4565-5
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摘要: In the present study, results of several experiments have been used to obtain thermal conductivity multi walls carbon nanotubes-water nanofluid. For this purpose, COOH-functionalized MWCNTs nanoparticles divided into different solid volume fractions in order disperse water as base fluid by dispersion methods. The measurement applied concentrations, up 1 %, and at temperatures ranging from 25 55 °C. paper, based on experimental data, a new correlation for predicting MWCNTs/water nanofluid proposed. After that, simulating nanofluid, artificial neural network is used. multilayer percepetron input variables are temperature fraction, output variable conductivity. extracted show good agreement with data. mean square error value 4.04E−06 that shows excellent performance predict