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首页> 外文期刊>Experiments in Fluids: Experimental Methods and Their Applications to Fluid Flow >Measurement of velocity and velocity derivatives based on pattern tracking in 3D LIF images
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Measurement of velocity and velocity derivatives based on pattern tracking in 3D LIF images

机译:基于3D LIF图像中的图案跟踪的速度和速度导数的测量

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Pattern tracking in consecutive 3D LIF images based on least squares matching (LSM) of grey levels has been developed recently for velocity and velocity gradient measurements. The shortcomings of this method are dearly shown. The present article presents an improvement:on:this method by introducing a local multi-patch (LMP) technique through the LSM approach. The method is validated using the flow field of a turbulent channel flow obtained by direct numerical simulation (DNS) and a synthetic image with grey-level patterns. The results show that LMP matching allows the determination of the velocity and the velocity gradient fields with high accuracy including the second derivatives. Measurements of a round non-buoyant jet are presented which demonstrate the-good performance of the method when applied under laboratory conditions. This method can also be applied on two-dimensional images provided that the flow is strictly two-dimensional. [References: 52]
机译:最近已经开发了基于灰度的最小二乘匹配(LSM)的连续3D LIF图像中的图案跟踪,用于速度和速度梯度测量。该方法的缺点被清楚地显示出来。本文通过LSM方法引入一种本地多修补程序(LMP)技术,提出了一种改进方法。使用通过直接数值模拟(DNS)获得的湍流通道流的流场和带有灰度模式的合成图像,验证了该方法的有效性。结果表明,LMP匹配可以高精度确定速度和速度梯度场,包括二阶导数。给出了圆形非浮力射流的测量结果,证明了该方法在实验室条件下应用时的良好性能。如果流严格地是二维的,则该方法也可以应用于二维图像。 [参考:52]

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