Prediction of dynamic viscosity of a hybrid nano-lubricant by an optimal artificial neural network-Reference-Cited by-同舟云学术

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Prediction of dynamic viscosity of a hybrid nano-lubricant by an optimal artificial neural network

Published:2016-08 Issue: Volume:76 Page:209-214
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,Nazari Najafabadi Karim,Sina Nima,Safaei Mohammad Reza,Kherbeet A.Sh.,Wongwises Somchai,Dahari Mahidzal

Funder

“Research Chair Grant” National Science and Technology Development Agency (NSTDA)

Thailand Research Fund (TRF)

National Research University Project (NRU)

Publisher

Elsevier BV

Subject

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

Reference54 articles.

1. An experimental study on thermal conductivity of MgO nanoparticles suspended in a binary mixture of water and ethylene glycol;Hemmat Esfe;Int. Commun. Heat Mass Transf.,2015

2. Study on thermal conductivity of water-based nanofluids with hybrid suspensions of CNTs/Al2O3 nanoparticles;Hemmat Esfe;J. Therm. Anal. Calorim.,2016

3. Effect of nanofluid variable properties on mixed convection flow and heat transfer in an inclined two-sided lid-driven cavity with sinusoidal heating on sidewalls;Hemmat Esfe;Heat Transfer Res.,2014

4. Thermal conductivity enhancement of COOH-functionalized MWCNTs/ethylene glycol–water nanofluid for application in heating and cooling systems;Soltanimehr;Appl. Therm. Eng.,2016

5. Mixed-convection flow and heat transfer in lid-driven square cavity filled with Al2O3–water variable-property nanofluid: effects of hot obstacle and cavity inclination angles;Hemmat Esfe;Int. J. Heat Mass Transf.,2015

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