Accurate prediction of thermal conductivity of ethylene glycol-based hybrid nanofluids using artificial intelligence techniques-Reference-Cited by-同舟云学术

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Accurate prediction of thermal conductivity of ethylene glycol-based hybrid nanofluids using artificial intelligence techniques

Published:2020-07 Issue: Volume:116 Page:104624
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:

Jamei Mehdi,Pourrajab Rashid,Ahmadianfar Iman,Noghrehabadi Aminreza

Funder

Vice-Chancellor for Research and Technology, Shohadaye Hoveizeh University of Technology

Publisher

Elsevier BV

Subject

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

Reference60 articles.

1. Enhancing Thermal Conductivity of Fluids with Nanoparticles;Choi,1995

2. Effect of partial slip boundary condition on the flow and heat transfer of nanofluids past stretching sheet prescribed constant wall temperature;Noghrehabadi;Int. J. Therm. Sci.,2012

3. Entropy analysis for nanofluid flow over a stretching sheet in the presence of heat generation/absorption and partial slip;Noghrehabadi;J. Mech. Sci. Technol.,2013

4. A comprehensive review of thermo-physical properties and convective heat transfer to nanofluids;Solangi;Energy,2015

5. Similarity solution of boundary layer flow over a nanofluid-saturated stretching cylinder;Noghrehabadi;Int. J. Energy Clean Environ.,2015

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