The acceleration schedule of engine which influenced the thermo-mechanical fatigue (TMF) of turbine stator blade was analyzed. Through additional acceleration limit to the original control schedule
the acceleration schedule was optimized by genetic algorithm
in consideration of the acceleration performance and life of blade. The simulation results show that the improved acceleration schedule can provide significant life extension of blade while keeping the rise time unchanged during the acceleration process.
Identification of flexible nozzle torque properties based on wavelet neural network optimized by genetic algorithm
Rapid prediction method of compressor characteristics with coupling direct and inverse problems
Calculation method of fuel temperature conforming to requirements of airworthiness certification
Airfoil optimization design based on Gaussian process regression and genetic algorithm
Fault diagnosis method of inter-shaft bearing based on adaptive bistable stochastic resonance
Related Author
Hongcheng YANG
Shan LIU
Guangzai JIN
Weiwei JIAO
Yufeng JIANG
Zhaoyun SONG
Baotong WANG
Tengbo FAN
Related Institution
Laboratory of Aerospace Servo Actuation and Transmission,Beijing Institute of Precision Mechatronics and Controls
Institute for Aero Engine,Tsinghua University
State Key Laboratory of Automotive Safety and Energy,Tsinghua University
Sichuan Gas Turbine Establishment,Aero Engine Corporation of China
Key Laboratory of Aircraft Environmental Control and Life Support of Ministry of Industry and Information Technology,College of Aerospace Engineering,Nanjing University of Aeronautics and Astronautics