Potential application of Response Surface Methodology (RSM) for the prediction and optimization of thermal conductivity of aqueous CuO (II) nanofluid: A statistical approach and experimental validation-Reference-Cited by-同舟云学术

Potential application of Response Surface Methodology (RSM) for the prediction and optimization of thermal conductivity of aqueous CuO (II) nanofluid: A statistical approach and experimental validation

Published:2020-09 Issue: Volume:554 Page:124353
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Peng Yeping,Khaled Usama,Al-Rashed Abdullah A.A.A.,Meer Rashid,Goodarzi Marjan,Sarafraz M.M.

Funder

King Saud University

NSFC

Natural Science Foundation of Guangdong Province, China

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference47 articles.

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4. Experimental determination of thermal conductivity and dynamic viscosity of Ag–MgO/water hybrid nanofluid;Esfe;Int. Commun. Heat Mass Transfer,2015

5. Applicability of artificial neural network and nonlinear regression to predict thermal conductivity modeling of Al2O3–water nanofluids using experimental data;Esfe;Int. Commun. Heat Mass Transfer,2015

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