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Regularized tomographic PIV for incompressible flows based on conservation of mass

机译:基于弥撒保护的不可压缩流动的正则断层基辅

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Three-dimensional and three-component (3D3C) velocity measurements have long been desired to resolve the 3D spatial structures of turbulent flows. Recent advancements have demonstrated tomographic particle image velocimetry (tomo-PIV) as a powerful technique to enable such measurements. The existing tomo-PIV technique obtains 3D3C velocity field by cross-correlating two frames of 3D tomographic reconstructions of the seeding particles. A most important issue in 3D3C velocity measurement involves uncertainty, as the derivatives of the measurements are usually of ultimate interest and uncertainties are amplified when calculating derivatives. To reduce the uncertainties of 3D3C velocity measurements, this work developed a regularized tomo-PIV method. The new method was demonstrated to enhance accuracy significantly by incorporating the conservation of mass into the tomo-PIV process. The new method was demonstrated and validated both experimentally and numerically. The results illustrated that the new method was able to enhance the accuracy of 3D3C velocity measurements by 40%-50% in terms of velocity magnitude and by 0.6 degrees-1.1 degrees in terms of velocity orientation, compared to the existing tomo-PIV technique. These improvements brought about by the new method are expected to expand the application of tomo-PIV techniques when accuracy and quantitative 3D flow properties are required. (C) 2020 Optical Society of America
机译:长期以来长期以来三维和三分组分(3D3C)速度测量以解决湍流流动的3D空间结构。最近的进步已经证明了断层粒子图像VELOCIMETRY(TOMO-PIV)作为能够实现此类测量的强大技术。现有的Tomo-PIV技术通过互连播种粒子的3D断层重建框架来获得3D3C速度场。 3D3C速度测量中最重要的问题涉及不确定性,因为测量的衍生物通常具有最终的兴趣和不确定性,并且在计算衍生物时被扩增。为了降低3D3C速度测量的不确定性,这项工作开发了一种正规化的致致致致致头PIV方法。通过将物质守恒纳入Tomo-PIV过程,证明了新方法以显着提高准确性。在实验和数值上证明并验证了新方法。结果表明,与现有的TOM-PIV技术相比,新方法能够在速度幅度和速度取向方面提高3D3C速度测量的精度40%-50%,并在速度取向方面得到0.6度-1.1度。预计新方法带来的这些改进将在需要准确性和定量3D流动性能时扩展汤莫-PIV技术的应用。 (c)2020美国光学学会

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    《Applied optics》 |2020年第6期|共11页
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