Optimization, modeling and accurate prediction of thermal conductivity and dynamic viscosity of stabilized ethylene glycol and water mixture Al 2 O 3 nanofluids by NSGA-II using ANN-Reference-Cited by-同舟云学术

Optimization, modeling and accurate prediction of thermal conductivity and dynamic viscosity of stabilized ethylene glycol and water mixture Al 2 O 3 nanofluids by NSGA-II using ANN

Published:2017-03 Issue: Volume:82 Page:154-160
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:

Hemmat Esfe Mohammad,Razi Peyman,Hajmohammad Mohammad Hadi,Rostamian Seyed Hadi,Sarsam Wail Sami,Abbasian Arani Ali Akbar,Dahari Mahidzal

Publisher

Elsevier BV

Subject

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

Reference35 articles.

1. “Enhancing thermal conductivity of fluids with nanoparticles”;Choi;Dev. Appl. non-Newtonian flows,1995

2. Modeling of thermal conductivity of ZnO-EG using experimental data and ANN methods;Hemmat Esfe;Int. Commun. Heat Mass Transfer,2015

3. Evaluation of thermal conductivity of COOH-functionalized MWCNTs/water via temperature and solid volume fraction by using experimental data and ANN methods;Hemmat Esfe;J. Therm. Anal. Calorim.,2015

4. Designing an artificial neural network to predict thermal conductivity and dynamic viscosity of ferromagnetic nanofluid;Hemmat 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;Hemmat Esfe;Int. Commun. Heat Mass Transfer,2015

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