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Constrained parallel global optimization for boundary layer transition control

机译:边界层过渡控制的约束并行全局优化

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Turbulent flow has a significantly higher drag than the corresponding laminar flow at the same flow conditions, and therefore incurs a significant penalty of increased fuel consumption due to the extra thrust required. One possible way of decreasing the drag is to apply surface suction to delay the transition from laminar to turbulent flow. In this paper an aerofoil with 3 non-overlapping panels covering up to 20% of chord for boundary layer transition control is considered. The problem is complicated by the fact that panels can change both their positions and lengths. The complexity of the optimization problem is such that it is not practical to perform the investigation using a single processor. A constrained global parallel algorithm based on a combination of deformed configuration methods and controlled random search method is developed. It is shown that for the problem considered, good solutions can be found efficiently.
机译:在相同的流量条件下,湍流的阻力要比相应的层流高得多,因此,由于需要额外的推力,因此导致燃油消耗增加的重大损失。减小阻力的一种可能方法是施加表面吸力,以延迟从层流到湍流的过渡。在本文中,考虑了具有3个不重叠面板的翼型,覆盖了高达20%的弦,用于边界层过渡控制。由于面板可以改变其位置和长度,因此使问题变得复杂。优化问题的复杂性使得使用单个处理器执行调查是不切实际的。提出了一种基于变形配置方法与受控随机搜索方法相结合的约束全局并行算法。结果表明,对于所考虑的问题,可以有效地找到好的解决方案。

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