| 基于LBM-LES方法两栖水翼航行器水动特性分析 |
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| 引用本文： | 冯欢欢,刘勇,王琦,邹森.基于LBM-LES方法两栖水翼航行器水动特性分析[J].航空工程进展,2019,10(1):102-108. |
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| 作者姓名： | 冯欢欢 刘勇 王琦 邹森 |
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| 作者单位： | 南昌航空大学飞行器工程学院,南昌,330063;南昌航空大学飞行器工程学院,南昌,330063;南昌航空大学飞行器工程学院,南昌,330063;南昌航空大学飞行器工程学院,南昌,330063 |
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| 基金项目： | 江西省科技厅重点研发计划（20151BBE50026） 江西省研究生创新基金项目（No. YC2017-S332） |
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| 摘 要： | 目前,国内外对于两栖航行器气动/水动特性的研究仍处于探索与发展阶段。结合鱼雷及水翼船的特点,提出一种通过改变外形实现水下、水面航行的新型两栖水翼航行器。基于LBM-LES方法对航行器水动特性进行数值仿真,得到航行器在水下、水面航行时的升力、阻力曲线。结果表明:在水下航行时,收缩水翼的航行器在较小的迎角范围内阻力较小,适合高速航行;在水面航行时,展开的水翼增大了航行器的升力、减小了阻力;通过改变外形航行器能够满足在水下、水面的航行要求,其外形设计及两栖航行性能还有较大的优化空间。
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| 关 键 词： | LBM-LES 水翼 数值仿真 水动特性 |
| 收稿时间： | 2018/3/12 0:00:00 |
| 修稿时间： | 2018/5/27 0:00:00 |
Hydrodynamic Characteristics Analysis of amphibious Hydrofoil Vehicle Based on LBM-LES Method |
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| Feng Huanhuan,LIuYong,WangQi and Zou Sen.Hydrodynamic Characteristics Analysis of amphibious Hydrofoil Vehicle Based on LBM-LES Method[J].Advances in Aeronautical Science and Engineering,2019,10(1):102-108. |
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| Authors: | Feng Huanhuan LIuYong WangQi and Zou Sen |
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| Affiliation: | Nanchang Hangkong University,Nanchang Hangkong University,Nanchang Hangkong University,Nanchang Hangkong University |
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| Abstract: | According to the some problems existed in the unmanned vehicle, a new amphibious hydrofoil vehicle with variable shape was proposed based on the characteristics of the torpedo and hydrofoil in this paper. The hydrodynamic characteristics of the amphibious hydrofoil vehicle is numerical simulated based on the LBM-LES. Lift curves and drag curves of the amphibious hydrofoil vehicle under water and surface of the water are got. The comparison results shows that the vehicle retracts its hydrofoil to make the drag smaller in a small angle of attack under water, it suitable for high speed navigation. The vehicle unfolds the hydrofoil to increase lift and reduce drag on the surface of the water. Meanwhile, the amphibious hydrofoil vehicle can meet its requirements of navigation under water and on the surface of the water by changing its shape. Shape design and amphibious navigation performance of vehicle still have much room for optimization. |
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