@inproceedings{d53e9f7d96164c00ae2be56df067ed8d,
title = "Aerodynamic performance analysis of hybrid air vehicles with large Reynolds number",
abstract = "The aerodynamic performance analysis of hybrid air vehicles is quite difficult because its large Reynolds number but low speed. A combination of the variational multiscale method and the dynamic Smagorinsky model is investigated and three other different turbulence models of RANS methods and VMS-LES methods are compared for this study. The validation of the turbulence models is carried out for a 6 : 1 prolate spheroid because of its similarity of Reynolds number and abundant experimental data. Results show that the predictions using LES methods express better agreement with the experiment than the RANS methods and they can display more flow details. The combined LES model can capture a secondary vortex which is effectively observed by experimental studies. Aerodynamic performances of the winged HAV and multi-lobed HAV are carried out using the combined LES model at last. The effects of different components on the aerodynamic properties of the HAV are studied. It can be seen that the tail adds the aerodynamic lift as well as increasing the drag, because of the interaction of first and secondary vortex generated on the fin surface.",
keywords = "RANS, aerodynamic performance, combined LES, hybrid air vehicle, turbulence model, vortices prediction",
author = "Junhui Meng and Moning Li and Lanchuan Zhang and Mingyun Lv and Li Liu",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Unmanned Systems, ICUS 2019 ; Conference date: 17-10-2019 Through 19-10-2019",
year = "2019",
month = oct,
doi = "10.1109/ICUS48101.2019.8996035",
language = "English",
series = "Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "403--409",
booktitle = "Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019",
address = "United States",
}