摘要
In response to the problem that the icing index used in natural icing test flight area determination can only provide the icing probability and icing level,a new method is proposed. By sampling the continuous maximum icing conditions in Appendix C of Federal Aviation Regulations(FAR)Part 25,the air flow field and water droplet impingement characteristics were solved to obtain the water droplet collection amount for the sampling points. The surrogated model of the water droplet collection amount was constructed based on Proper Orthogonal Decomposition(POD)and Kriging. The weather simulation of the target area was performed using WRF(Weather Research and Forecasting)to obtain the temperature and the liquid water content. The water droplet collection amount over the target area was predicted with the surrogated model and the target area was divided by the moderate icing intensity. The results show that:the surrogated model can predict the effects of temperature,liquid water content,median volume diameter,height and flight speed on water droplet collection amount correctly;the temperature and the liquid water content of the target area obtained by WRF are in good agreement with the observed values;the surrogated model can quickly obtain the distribution of the water droplet collection amount over the target area and its variation with time;the suitable natural icing test flight area and the icing rate are determined. The growth of the flight speed makes the water droplet collection amount increase and causes the variation of the icing test flight area. This paper has some reference significance for the determination of the icing test flights area.
投稿的翻译标题 | Icing test flight area determination method based on surrogated model of water droplet collection |
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源语言 | 繁体中文 |
文章编号 | 627697 |
期刊 | Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica |
卷 | 44 |
期 | 1 |
DOI | |
出版状态 | 已出版 - 15 1月 2023 |
关键词
- aircraft icing
- icing test flight
- surrogate model
- water droplet collection amount
- weather forecasting
- Werther Research and Forecasting (WRF)