Predicting the viscosity of multi-walled carbon nanotubes/water nanofluid by developing an optimal artificial neural network based on experimental data-Reference-Cited by-同舟云学术

Predicting the viscosity of multi-walled carbon nanotubes/water nanofluid by developing an optimal artificial neural network based on experimental data

Published:2016-10 Issue: Volume:77 Page:49-53
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:

Afrand Masoud,Ahmadi Nadooshan Afshin,Hassani Mohsen,Yarmand Hooman,Dahari M.

Funder

University of Malaya

Publisher

Elsevier BV

Subject

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

Reference38 articles.

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4. Measurement of thermal conductivity of ZnO–TiO2/EG hybrid nanofluid;Toghraie;J. Therm. Anal. Calorim.,2016

5. Estimation of thermal conductivity of Al2O3/water (40%)–ethylene glycol (60%) by artificial neural network and correlation using experimental data;Hemmat Esfe;Int. Commun. Heat Mass Transfer,2016

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