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Aerodynamic Design Optimization of a Kind of Reentry Capsule Based on CFD and Multi-objective Genetic Algorithm

机译:基于CFD和多目标遗传算法的一种倒退胶囊的空气动力学设计优化

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This paper presents a new kind of aerodynamic shape for reentry capsule, called spherical cap cubic curve segment(SCCS) shape, which is modeled by replacing the reversing cone segment of the traditional spherical cap segment-reversing cone(SCSC) shape with a more various cubic curve segment, however the spherical cap section is retained. In the assumed allowable axial range of centroid under a designed Mach number, a multi-point/objective design optimization mathematical programming model was established against aerodynamic static longitudinal stability characteristics, hypersonic lift-to-drag ratio characteristics under trim angle of attack and off-set location placement of gravity center for the above reentry capsule. Then the aerodynamic design optimization problem of the proposed reentry capsule was investigated through multi-objective genetic algorithm(MOGA) combined numeric parallel field simulation methods, and finally the optimal Pareto front was given. Comparing with the results of the SCSC shape in the literature[l], it shows that the optimal Pareto front of the current cubic curve shape has a wider distribution range relative to the counterparts of the segment-reversing cone shape, however both are relatively close in the overlapping area.
机译:本文介绍了一种新型的用于再入胶囊的空气动力学形状的,所谓的球形帽三次曲线段(SCCS)的形状,这是通过用更多的各种取代了传统的球形帽分段反转锥(SCSC)形状的反转锥体段建模三次曲线段,然而,球形帽部被保留。在假定下一个设计马赫数质心的容许的轴向范围,多点/目标设计优化数学规划模型对气动静态纵向稳定性特性,受到攻击和场外的纵倾角高超音速升阻比特性建立重心为上述折返胶囊的组位置放置。然后所提出的再入胶囊的空气动力学设计优化问题是通过多目标遗传算法(MOGA)合并的数字平行场模拟方法,研究,终于被赋予了最佳的帕累托前沿。与文献[1]的SCSC形状的结果比较,它示出了最佳的帕累托前沿电流三次曲线形状的具有更宽的相对于片段反转圆锥形状的对应的分布范围,但是两者都比较接近在重叠区域。

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