Temperature evolution prediction of engine big-end bearing by tribo-dynamics modeling and wireless measurement verification

Abstract

Thermally-induced seizure (TIS) issue of the big-end bearing could lead to catastrophic engine failures. Evaluating bearing temperature during the design phase effectively identifies this issue in advance. However, accurate prediction remains challenging due to complex influencing factors and variable friction states. This work develops a more comprehensive model for the big-end bearing temperature evolution by tribo-dynamics modeling considering the effects of lubricant rheology and elastic deformation. Wireless measurements of bearing temperature are conducted in a full-size engine at rated conditions. Coupling simulations and tests provide an in-depth understanding of bearing temperature and tribo-dynamics behavior. Results reveal the experimental bearing achieves 133 ℃ at the focus positions. The simulated bearing temperature corresponds nicely to the test one with a difference of 1.55 ℃.