Robust optimization in aero-engine design considering uncertainty of high-pressure turbine performance
In order to reduce the impact of uncertain factors in manufacturing on the overall performance of aero-engines,a robust design model was constructed by considering the uncertainty of high-pressure turbine performance in the design stage.Monte Carlo simulation was used in this model to quantify the effect of uncertainty.A global optimization algorithm was developed to solve the robust design model.Numerical results validated the advantages of the robust design model.Its optimal solution can reduce the variability of the engine performance by an average of 15.97％,which showed better robustness in uncertain environment than the solution obtained by generic deterministic design method.
engine performanceuncertaintyrobust designMonte Carlo simulationoptimization
NETL
NSTL
万方数据
