About this Abstract |
Meeting |
2023 TMS Annual Meeting & Exhibition
|
Symposium
|
Algorithm Development in Materials Science and Engineering
|
Presentation Title |
Multiphase Microstructure-based Modeling for Rolling Contact Fatigue Life Prediction |
Author(s) |
Jinheung Park, Kijung Lee, Soonwoo Kwon, Myoung-Gyu Lee |
On-Site Speaker (Planned) |
Jinheung Park |
Abstract Scope |
Bearing steels typically consist of martensite and retained austenite to withstand the rolling contact fatigue (RCF) environments. Experiments report that the subsurface microstructure of bearing steels often exhibits deformation-induced martensitic transformation of retained austenite and mechanical softening caused by microstructural alterations under RCF process. These microstructural characteristics directly affect the fatigue resistance of bearing steel and can increase the uncertainty of fatigue behavior. In this study, a RCF life prediction model is developed considering the experimentally observed microstructural characteristics in martensitic steel. Virtual multiphase microstructure with hierarchically structured martensite and austenite phases is developed. Then, the deformation-induced martensitic transformation and dislocation-assisted carbon migration are numerically implemented in crystal plasticity (CP) finite element framework. The CP model is then coupled with continuum damage mechanics to predict crack initiation, propagation, and failure during RCF. Finally, the developed model is validated by predicting the Weibull distribution for RCF life with a probabilistic approach. |
Proceedings Inclusion? |
Planned: |
Keywords |
Modeling and Simulation, Computational Materials Science & Engineering, ICME |