Yu-Guan Wu

Wear Prediction of Grooved Journal-Bearing Shells Using Optimized BP Neural Networks

To predict the mass loss of grooved journal-bearing shells under varying operating conditions while reducing experimental effort, accelerated wear tests were conducted on a component-level journal-bearing test rig. The effects of load, rotational speed, and oil temperature were investigated, and the worn surfaces were...