Thermal conductivity of Cu/TiO2–water/EG hybrid nanofluid: Experimental data and modeling using artificial neural network and correlation
Authors:
- Mohammd Hemmat EsfeMEMohammd Hemmat Esfe
- Somchai WongwisesSWSomchai Wongwises
- Ali NaderiANAli Naderi
- Amin AsadiAAAmin Asadi
- Mohammad Reza SafaeiMohammad Reza Safaei
- Hadi RostamianHRHadi Rostamian
- Mahidzal DahariMDMahidzal Dahari
- Arash KarimipourAKArash Karimipour
Top Cited Papers
- 1 August 2015
- journal article
- research article
- Published by Elsevier in International Communications in Heat and Mass Transfer
- Vol. 66, 100-104
Abstract
No abstract availableKeywords
Funding Information
- High Impact Research (UM.C/HIR/MOHE/ENG/23)
- University of Malaya
- National Science and Technology Development Agency (IRG5780005)
- National Research University Project
This publication has 16 references indexed in Scilit:
- Heat transfer characteristics and pressure drop of COOH-functionalized DWCNTs/water nanofluid in turbulent flow at low concentrationsInternational Journal of Heat and Mass Transfer, 2014
- A review of the applications of nanofluids in solar energyInternational Journal of Heat and Mass Transfer, 2013
- APPLICABILITY OF ARTIFICIAL NEURAL NETWORKS TO PREDICT EFFECTIVE THERMAL CONDUCTIVITY OF HIGHLY POROUS METAL FOAMSJournal of Porous Media, 2013
- Application of Artificial Neural Network (ANN) for the prediction of thermal conductivity of oxide–water nanofluidsNano Energy, 2012
- Applications of artificial neural networks for refrigeration, air-conditioning and heat pump systems—A reviewRenewable and Sustainable Energy Reviews, 2012
- Thermal conductivity of non-Newtonian nanofluids: Experimental data and modeling using neural networkInternational Journal of Heat and Mass Transfer, 2011
- Viscosity and thermal conductivity of nanofluids containing multi-walled carbon nanotubes stabilized by chitosanInternational Journal of Thermal Sciences, 2011
- Modeling thermal conductivity augmentation of nanofluids using diffusion neural networksInternational Journal of Thermal Sciences, 2011
- Prediction of thermal conductivity of ethylene glycol–water solutions by using artificial neural networksApplied Energy, 2009
- Measurement of temperature-dependent thermal conductivity and viscosity of TiO2-water nanofluidsExperimental Thermal and Fluid Science, 2009