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

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.

1. Experimental studies of nanofluid thermal conductivity enhancement and applications: A review;Tawfik;Renew. Sustain. Energy Rev.,2017

2. The investigation of effects of temperature and nanoparticles volume fraction on the viscosity of copper oxide-ethylene glycol nanofluids;Esfe;Period. Polytech. Chem. Eng.,2018

3. Designing an artificial neural network to predict dynamic viscosity of aqueous nanofluid of TiO2 using experimental data;Esfe;Int. Commun. Heat Mass Transfer,2016

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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