Dynamic viscosity modeling of nanofluids with MgO nanoparticles by utilizing intelligent methods-Reference-Cited by-同舟云学术

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Dynamic viscosity modeling of nanofluids with MgO nanoparticles by utilizing intelligent methods

Published:2023-12 Issue: Volume:9 Page:5397-5403
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Fadhl Bandar M.,Makhdoum Basim M.,Ma’arif Alfian,Suwarno Iswanto,Hamzah Hudhaifa,Salem Mohamed^ORCID

Publisher

Elsevier BV

Subject

General Energy

Reference58 articles.

1. Experimental study to obtain the viscosity of CuO-loaded nanofluid: effects of nanoparticles’ mass fraction, temperature and basefluid’s types to develop a correlation;Abdollahi;Meccanica,2018

2. Using GMDH neural networks to model the power and torque of a stirling engine;Ahmadi;Sustainability (Switzerland),2015

3. A review of thermal conductivity of various nanofluids;Ahmadi;J. Mol. Liq.,2018

4. Comparing various machine learning approaches in modeling the dynamic viscosity of cuo/water nanofluid;Ahmadi;J. Therm. Anal. Calorim.,2019

5. Experimental investigation of using nano-PCM/nanofluid on a photovoltaic thermal system (PVT): Technical and economic study;Al-Waeli;Therm. Sci. Eng. Prog.,2019

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3. Optimization of silver nanoparticle-enhanced nanofluids for improved thermal management in solar thermal collectors;Matéria (Rio de Janeiro);2024

4. Predicting thermal conductivity and dynamic viscosity of nanofluid by employment of Support Vector Machines: A review;Energy Reports;2023-11

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