Physics-Based Reliability Models for Supercritical-CO2 Turbomachinery Components
GE, under the Physics of Reliability: Evaluating Design Insights for Component Technologies in Solar (PREDICTS) Program will be leveraging internally developed models to predict the reliability of hybrid gas bearing (HGB) and dry gas seal (DGS) components in the turboexpander of a supercritical CO2 turbine. The Bayesian model is to include phase changes, low cycle fatigue/high cycle fatigue, dynamic instabilities, and corrosion processes.
Multi-physics models for performance prediction of these components during a typical sCO2 cycle mission will be developed in order to generate a loading history that serves as an input to the physics-based lifing model. The coupon level fatigue and corrosion experiments under a controlled CO2 environment will be carried out to provide critical validation of the performance prediction models and provide data that serves as input to the life prediction model.
This will be the first physics-based life prediction and reliability model of a bearing and a seal for an sCO2 cycle application and the first experimental demonstration of DGS performance in a MWe scale sCO2 power cycle.
Quarterly Progress Reports