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April 5, 2026LubricantsOpen Access

New Horizons in Machine Learning Applications for Tribology

Max Marian S. Tremmel

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Key Points

To investigate the role of machine learning in improving tribological performance metrics.
Review of existing machine learning techniques applied to tribology
Analysis of friction and wear data using predictive algorithms
Assessment of lubrication efficiency with machine learning models
Machine learning models significantly improve accuracy in predicting friction behavior
Enhanced wear analysis leads to better material selection
Improved lubrication strategies are suggested through data-driven insights

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Implication

Explores machine learning enhancing friction, wear, and lubrication analysis, indicating significant engineering benefits.

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Cite This Study

Marian et al. (2026) studied this question.

synapsesocial.com/papers/69d49fe5b33cc4c35a228587 https://doi.org/10.3390/lubricants14040155

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