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- W2956596452 abstract "Nanofluids exhibits a high thermal conductivity compared with other base fluids. Determination of accurate thermal conductivity of nanofluids has very great obstacle because of more depending factors. In this research article, thermal conductivity ratio of CuO/H2O, CNT/H2O and DWCNT-ZnO/H2O nanofluids are predicted by using Gaussian Process Regression. The results are promising, the RMSE values are 0.0431, 0.0135, 0.0179 and Regression coefficient values are 0.90, 0.98 and 0.98 respectively. The behavioral study of predictor factors was performed by Linear Regression methods. Increase in temperature and volume fraction increases the values of TCR and conversely for size of the nanoparticle." @default.
- W2956596452 created "2019-07-23" @default.
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- W2956596452 date "2020-01-01" @default.
- W2956596452 modified "2023-10-18" @default.
- W2956596452 title "Regression analysis and behavioral study of predictor factors on thermal conductivity of nanofluids using soft computing tool" @default.
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- W2956596452 doi "https://doi.org/10.1016/j.matpr.2019.06.554" @default.
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