Determining the optimal structure for accurate estimation of the dynamic viscosity of oil-based hybrid nanofluid containing MgO and MWCNTs nanoparticles using multilayer perceptron neural networks with Levenberg-Marquardt Algorithm

Author:

Hemmat Esfe Mohammad,Amoozadkhalili Fatemeh,Toghraie Davood

Publisher

Elsevier BV

Subject

General Chemical Engineering

Reference74 articles.

1. On the rheological properties of multi-walled carbon nano-polyvinylpyrrolidone/silicon-based shear thickening fluid;Sun;Nanotechnol. Rev.,2021

2. Grindability of titanium alloy using cryogenic nanolubricant minimum quantity lubrication;Cui;J. Manuf. Process.,2022

3. Photochemical degradation of an environmental pollutant by pure ZnO and MgO doped ZnO nanocatalysts;Giahi;Iran. J. Chem. Chem. Eng. (IJCCE),2021

4. The influence of the temperature on the dynamic behaviors of magnetorheological gel;Zhang;Adv. Eng. Mater.,2022

5. Experimental study of rheological characteristics of MWCNT-Al2O3 (40: 60)/SAE50 hybrid nano-lubricant to identify optimal lubrication conditions and post-processing of results using the response surface method;Esfe;J. Mater. Res. Technol.,2021

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