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Prediction of cross-flow dominated transition on a supersonic swept wing

机译:超音速后掠翼上横流主导过渡的预测

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The amplitude method is used for predictions of the roughness-induced transition on a parabolic arc-shaped swept wing in Mach=3.5 free stream. As contrasted to the e~N method, the amplitude method incorporates the excitation of stationary CF-vortices by local and/or distributed roughness, downstream amplification of these vortices and the amplitude criterion associated with their nonlinear breakdown. With these ingredients it is feasible to evaluate the transition onset in a rational physics-based manner as well as estimate roughness parameters at which the CF-dominated transition onset occurs at a certain distance from the wing leading edge. It is shown that randomly distributed roughness is much more effective than isolated imperfections. The critical size of distributed roughness is so small that it is very difficult to maintain the wing surface aerodynamically smooth as soon as CF-vortices have appreciable amplification factors. It is also shown that the interplay between receptivity and downstream growth of CF-disturbances may lead to unexpected dependencies of the CF-transition onset on the basic parameters. E.g. the wing surface cooling may increase the initial amplitude of CF vortices and decrease their growth rates so that the transition onset moves downstream as the wall temperature ratio decreases.
机译:振幅方法用于预测Mach = 3.5自由流中抛物线形弧形机翼上的粗糙度引起的过渡。与e〜N方法相反,振幅方法结合了局部和/或分布粗糙度对固定CF涡旋的激励,这些涡旋的下游放大以及与非线性破坏相关的振幅准则。使用这些成分,以合理的基于物理的方式评估过渡开始以及估算粗糙度参数是可行的,在该粗糙度参数中,CF主导的过渡开始发生在距机翼前缘一定距离处。结果表明,随机分布的粗糙度比孤立的缺陷要有效得多。分布粗糙度的临界尺寸是如此之小,以至于一旦CF旋涡具有明显的放大系数,就很难保持机翼表面的空气动力学光滑性。还显示CF扰动的接受度和下游增长之间的相互作用可能导致CF转变开始对基本参数的意外依赖。例如。机翼表面冷却可能会增加CF涡流的初始振幅并降低其增长率,从而随着壁温比降低,过渡开始向下游移动。

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