A unique artificial intelligence approach and mathematical model to accurately evaluate viscosity and density of several nanofluids from experimental data
Author:
Funder
DRDO
Publisher
Elsevier BV
Subject
Colloid and Surface Chemistry
Reference43 articles.
1. Investigating the use of nanofluids to improve high heat flux cooling systems;Barrett;Fusion Eng. Des.,2013
2. Nanofluid as a coolant for electronic devices (cooling of electronic devices);Ijam;Appl. Therm. Eng.,2012
3. Modification for helical turbulator to augment heat transfer behavior of nanomaterial via numerical approach;Sheikholeslami;Appl. Therm. Eng.,2021
4. Numerical and experimental analysis of performance in a compact plate heat exchanger using graphene oxide/water nanofluid;Singh;Int. J. Numer. Methods Heat Fluid Flow,2021
5. On the use of boundary conditions and thermophysical properties of nanoparticles for application of nanofluids as coolant in nuclear power plants; a numerical study;Bafrani;Prog. Nucl. Energy,2020
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