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Performance Prediction of Open Rotor Enabled by Neural Network

  • Northwestern Polytechnical University Xian
  • Collaborative Innovation Center for Advanced Aero-Engine

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名23rd International Conference on Control, Automation and Systems, ICCAS 2023
出版商IEEE Computer Society
1644-1649
页数6
ISBN(电子版)9788993215274
DOI
出版状态已出版 - 2023
活动23rd International Conference on Control, Automation and Systems, ICCAS 2023 - Yeosu, 韩国
期限: 17 10月 202320 10月 2023

出版系列

姓名International Conference on Control, Automation and Systems
ISSN(印刷版)1598-7833

会议

会议23rd International Conference on Control, Automation and Systems, ICCAS 2023
国家/地区韩国
Yeosu
时期17/10/2320/10/23

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