TY - GEN
T1 - Performance Prediction of Open Rotor Enabled by Neural Network
AU - Wang, Qihang
AU - Zhou, Li
AU - Wang, Zhanxue
N1 - Publisher Copyright:
© 2023 ICROS.
PY - 2023
Y1 - 2023
N2 - In this paper, the prediction of the aerodynamic performance of a contra-rotating open rotor is accomplished based on the neural network. To complete the prediction from design parameters to aerodynamic performance, a neural network is established through a limited set of sample points. The results show that the neural network is able to accurately predict the aerodynamic performance of the contra-rotating open rotor. The constructed neural network depends on the selected design parameters and performance parameters. The number of hidden layers and the number of nodes in the hidden layers greatly affects the accuracy of the prediction.
AB - In this paper, the prediction of the aerodynamic performance of a contra-rotating open rotor is accomplished based on the neural network. To complete the prediction from design parameters to aerodynamic performance, a neural network is established through a limited set of sample points. The results show that the neural network is able to accurately predict the aerodynamic performance of the contra-rotating open rotor. The constructed neural network depends on the selected design parameters and performance parameters. The number of hidden layers and the number of nodes in the hidden layers greatly affects the accuracy of the prediction.
KW - Aerodynamic performance prediction
KW - Contra-rotating open rotor
KW - Design method
KW - Neural network
KW - Numerical simulation
UR - http://www.scopus.com/inward/record.url?scp=85179182312&partnerID=8YFLogxK
U2 - 10.23919/ICCAS59377.2023.10316741
DO - 10.23919/ICCAS59377.2023.10316741
M3 - 会议稿件
AN - SCOPUS:85179182312
T3 - International Conference on Control, Automation and Systems
SP - 1644
EP - 1649
BT - 23rd International Conference on Control, Automation and Systems, ICCAS 2023
PB - IEEE Computer Society
T2 - 23rd International Conference on Control, Automation and Systems, ICCAS 2023
Y2 - 17 October 2023 through 20 October 2023
ER -