New Horizons in Machine Learning Applications for Tribology

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