Machine Learning-Based Predictive Model to Assess Rheological Dynamics of Eco-Friendly Oils as Biolubricants Enriched with SiO<sub>2</sub> Nanoparticles

Machine Learning-Based Predictive Model to Assess Rheological Dynamics of Eco-Friendly Oils as Biolubricants Enriched with SiO<sub>2</sub> Nanoparticles

Efficient machinery operation relies on the performance of high-quality lubricants. Currently, mineral oils of different grades are widely employed for lubricating machine components, but their environmental impact is a concern. Biolubricants are potential alternatives to mineral oils due to environ...

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Bibliographic Details
Main Authors: Girish Hariharan, Meghana Kundala Navada, Jeevan Brahmavar, Ganesha Aroor
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Lubricants
Subjects:
rheological studies
machine learning
viscosity
bio-lubricant
SiO<sub>2</sub> nanoparticles
Online Access:https://www.mdpi.com/2075-4442/12/3/92

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https://www.mdpi.com/2075-4442/12/3/92

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