Rheological behavior of MWCNT-SnO2/SAE50 hybrid nanolubricant: Experimental evaluation and viscosity prediction using optimized machine learning model

Rheological behavior of MWCNT-SnO2/SAE50 hybrid nanolubricant: Experimental evaluation and viscosity prediction using optimized machine learning model

The present paper investigated the rheological behavior and dynamic viscosity of SAE 50 lubricant in the presence of a novel mixture of MWCNT(25 %)/SnO2(75 %) nanopowders. In the first part of the research, three essential parameters, including shear rate (SR = 1333.0–2932.6 s−1), temperature (T = 2...

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Bibliographic Details
Main Authors: Mojtaba Sepehrnia, Hamid Maleki, Alireza Hamidi, Ali Davoodi, Hamidreza Golmohammadi
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Alexandria Engineering Journal
Subjects:
Hybrid nanofluid
Dynamic viscosity
Rheological behavior
Nanolubricant
Artificial Neural Network
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016825008129
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