A machine learning-driven approach to predicting thermo-elasto-hydrodynamic lubrication in journal bearings
(2024)
Journal Article
Traditional methods of evaluating the performance of journal bearings, for example thermal-elastic-hydrodynamic- lubrication theory, are limited to simplified conditions that often fail to accurately model real-world components. Numerical models that... Read More about A machine learning-driven approach to predicting thermo-elasto-hydrodynamic lubrication in journal bearings.