Sustainable lubricants formulation for sustainable lubrication: A comprehensive review including machine learning predictions

The Sustainable Development Goals provide the impetus for the development of sustainable lubricants. The environmental policies, carbon neutrality guidelines, and sustainable lubricants play a prominent role in the development of sustainable lubrication. This work is broadly analyzed under the following categories: (i) Formulation of Sustainable Lubricants; (ii) Investigations on Sustainable Lubricants; (iii) Methods of Sustainable Lubrication; (iv) Sustainable Lubricants formulation for Sustainable Lubrication. This review highlights ML classification and regression algorithms based on sustainable lubricants (USL), Increased component lifespan (ICL) using Nanoparticles, reduced energy consumption (REC) using Nanoparticles and MQL, and minimising environmental impact (MEI) using MQL. The formulation of Sustainable Lubricants needs to be aligned with Sustainable Lubrication.

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Publication Details

Journal
Tribology International
Published
2025-08-08
DOI
https://doi.org/10.1016/j.triboint.2025.111075
Citations
2
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
1.43
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article

Sustainable lubricants formulation for sustainable lubrication: A comprehensive review including machine learning predictions

T V V L N Rao, Jitendra Kumar Katiyar
2 citations
Tribology International
Advanced machining processes and optimization
1.43
article

Sustainable lubricants formulation for sustainable lubrication: A comprehensive review including machine learning predictions

T V V L N Rao, Jitendra Kumar Katiyar
article en
2 citations

Abstract

The Sustainable Development Goals provide the impetus for the development of sustainable lubricants. The environmental policies, carbon neutrality guidelines, and sustainable lubricants play a prominent role in the development of sustainable lubrication. This work is broadly analyzed under the following categories: (i) Formulation of Sustainable Lubricants; (ii) Investigations on Sustainable Lubricants; (iii) Methods of Sustainable Lubrication; (iv) Sustainable Lubricants formulation for Sustainable Lubrication. This review highlights ML classification and regression algorithms based on sustainable lubricants (USL), Increased component lifespan (ICL) using Nanoparticles, reduced energy consumption (REC) using Nanoparticles and MQL, and minimising environmental impact (MEI) using MQL. The formulation of Sustainable Lubricants needs to be aligned with Sustainable Lubrication.

Tribology InternationalVol. 213
Manipal Academy of Higher Education (IN), MIT Art, Design and Technology University (IN)
Responsible consumption and production
Openalex Percentile: Top 18%
Advanced machining processes and optimization
1.43
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Sustainable lubricants formulation for sustainable lubrication: A comprehensive review including machine learning predictions — T V V L N Rao, Jitendra Kumar Katiyar · Tribology International (2025) | TGRS Research Map | TGRS