Using of Artificial Neural Networks (ANNs) to predict the thermal conductivity of Zinc Oxide–Silver (50%–50%)/Water hybrid Newtonian nanofluid-Reference-Cited by-同舟云学术

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Using of Artificial Neural Networks (ANNs) to predict the thermal conductivity of Zinc Oxide–Silver (50%–50%)/Water hybrid Newtonian nanofluid

Published:2020-07 Issue: Volume:116 Page:104645
ISSN:0735-1933
Container-title:International Communications in Heat and Mass Transfer
language:en
Short-container-title:International Communications in Heat and Mass Transfer

Author:

He Wei,Ruhani Behrooz,Toghraie Davood,Izadpanahi Niloufar,Esfahani Navid Nasajpour,Karimipour Arash,Afrand Masoud

Funder

Fujian Province Natural Science Foundation

Department of Science and Technology of Fujian Province

Fuzhou Science and Technology Planning Project

Educational Research Projects of Young Teachers of Fujian Province

2017 Outstanding Young Scientist Training Program of Colleges in Fujian Province

Publisher

Elsevier BV

Subject

Condensed Matter Physics,General Chemical Engineering,Atomic and Molecular Physics, and Optics

Reference38 articles.

1. Treatise on Electricity and Magnetism;Maxwell,1881

2. Statistical investigation for developing a new model for rheological behavior of ZnO–Ag (50%–50%)/Water hybrid Newtonian nanofluid using experimental data;Ruhani;Phys. A Statistical Mech. Appl.,2019

3. An experimental study on MWCNT–water nanofluids flow and heat transfer in double-pipe heat exchanger using porous media;Moradi;J. Therm. Anal. Calorim.,2019

4. An experimental study on the thermal conductivity of cerium oxide/ethylene glycol nanofluid: developing a new correlation;Keyvani;J. Mol. Liq.,2018

5. An experimental study on rheological behavior of a nanofluid containing oxide nanoparticle and proposing a new correlation;Saeedi;Phys. E Low-Dimensional Syst. Nanostruct.,2018

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