A well-trained artificial neural network for predicting the optimum conditions of MWCNT–ZnO (10:90)/ SAE 40 nano-lubricant at different shear rates, temperatures, and concentration of nanoparticles-Reference-Cited by-同舟云学术

A well-trained artificial neural network for predicting the optimum conditions of MWCNT–ZnO (10:90)/ SAE 40 nano-lubricant at different shear rates, temperatures, and concentration of nanoparticles

Published:2023-02 Issue:2 Volume:16 Page:104508
ISSN:1878-5352
Container-title:Arabian Journal of Chemistry
language:en
Short-container-title:Arabian Journal of Chemistry

Author:

Hemmat Esfe Mohammad,Ali Eftekhari S.,Alizadeh As'ad,Aminian Saman,Hekmatifar Maboud,Toghraie Davood

Publisher

Elsevier BV

Subject

General Chemical Engineering,General Chemistry

Reference60 articles.

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4. An experimental study on the stability and thermal conductivity of water-ethylene glycol/TiO2-MWCNTs hybrid nanofluid: developing a new correlation;Akhgar;Powder Technol.,2018

5. On the rheological properties of MWCNT-TiO2/oil hybrid nanofluid: An experimental investigation on the effects of shear rate, temperature, and solid concentration of nanoparticles;Alarifi;Powder Technol.,2019

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