Drag on an ellipsoid particle in free-molecular plasma flow

Based on the analysis of molecular gas dynamics, the drag and moment acting on an ellipsoid particle of revolution X-2/a(2) + Y-2/a(2) + Z(2)/c(2) = 1, as an example of nonspherical particles, are studied under the condition of free-molecular plasma flow with thin plasma sheaths. A nonzero moment which causes nonspherical particle self-oscillation and self-rotation around its own axis in the plasma flow-similar to the pitching moment in aerodynamics-is discovered for the first time. When the ratio of axis length c/a is unity, the moment is zero and the drag formula are reduced to the well-known results of spherical particles. The effects of the particle-plasma relative velocity, the plasma temperature, and the particle materials on the drag and moment are also investigated.

Diffusion analogy and shock capturing for solving aerodynamic equations

Improving the resolution of the shock is one of the most important subjects in computational aerodynamics. In this paper the behaviour of the solutions near the shock is discussed and the reason of the oscillation production is investigated heuristically. According to the differential approximation of the difference scheme the so-called diffusion analogy equation and the diffusion analogy coefficient are defined. Four methods for improving the resolution of the shock are presented using the concept of diffusion analogy.

高温真实气体效应中催化效应对气动热影响的实验探索

主要介绍了在氢氧爆轰驱动高焓激波风洞中进行真实气体效应中催化效应对气动热影响的实验研究。首先从测试工作的角度，论述了测热模型、测热传感器及风洞改进等关键技术问题及其解决方法。其次描述了在氢氧爆轰驱动高焓激波风洞中，首次开展气动热风洞试验的过程及其初步结果。结果表明：热流数据随测点位置和迎角的改变呈有规律的变化；在同样条件下，完全催化表面比完全非催化表面热流数值有明显增加的趋向。

Framework for the Shape Optimization of Aerodynamic Profiles Using Genetic Algorithms

This study developed a framework for the shape optimization of aerodynamics profiles using computational fluid dynamics (CFD) and genetic algorithms. Agenetic algorithm code and a commercial CFD code were integrated to develop a CFD shape optimization tool. The results obtained demonstrated the effectiveness of the developed tool. The shape optimization of airfoils was studied using different strategies to demonstrate the capacity of this tool with different GA parameter combinations.

Configuration optimization of hypersonic vehicles under transitional flow conditions

The rarefied gas effects on several configurations are investigated under hypersonic flow conditions using the direct simulation Mont Carlo method. It is found that the Knudsen number, the Mach number, and the angle of attack all play a mixed role in the aerodynamics of a flat plate. The ratio of lift to drag decreases as the Knudsen number increases. Studies on 3D delta wings show that the ratio of lift to drag could be increased by decreasing the wing thickness and/or by increasing the wing span. It is also found that the waveriders could produce larger ratio of lift to drag as compared with the delta wing having the same length, wing span, and cross section area.

Estudio de la precisión de varios modelos de turbulencia en la aplicación a perfiles aerodinámicos

[ES]El objetivo principal de este proyecto se centra en modelizar correctamente la capa límite sobre el perfil alar donde se produce la transición del régimen laminar al régimen transitorio. Como objetivo secundario se encuentra el afianzamiento de las bases teóricas de mecánica de fluidos obtenidas en la escuela y la adquisición de más conocimientos relacionados con la aerodinámica, concretamente con la capa límite. En una primera parte se tratarán los conceptos generales de los perfiles alares y se hará una breve introducción a los distintos tipos de mallado existentes. También se explicará el concepto de capa límite y todo lo relacionado con ella. A continuación, se establecerán los criterios de selección del modelo de turbulencia más adecuado y se mostrarán los resultados obtenidos de los distintos tipos de modelos de turbulencia anteriormente mencionados. Una vez seleccionado un modelo de turbulencia se profundizará en su estudio, aplicándolo a varios perfiles NACA. Se analizarán los resultados obtenidos y los errores y se buscarán posibles soluciones. Finalmente, se procederá a sacar las conclusiones del modelo escogido y se comparará con una serie de ensayos experimentales con objeto de poder validarlo.