抖盒子（‘Shake The Box’):一种利用粒子位置预判方法的高效精确的层析粒子跟踪测速（Tomo-PTV）方法。

2018/12/10   下载量： 4 次

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采用新一代的抖盒子（‘Shake The Box’)这种利用粒子位置预判方法的高效精确的层析粒子跟踪测速（Tomo-PTV）方法，对空气，液体流动的时间分辨速度矢量场进行测量。可以得到拉格朗日视角的流场中示踪粒子随时间演化的精确粒子轨迹，并从粒子轨迹的演变过程，得到速度场和加速度场。并由此求出更多的流体力学参量，如压力场等。

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A novel approach to the evaluation of time resolved particle-based tomographic data is introduced. By seizing the time
information contained in such datasets, a very fast and accurate tracking of nearly all particles within the measurement
domain is achieved at seeding densities comparable to (and probably above) the thresholds for tomographic PIV. The
method relies on predicting the position of already tracked particles and refining the found position by an image
matching scheme (‘shaking’ all particles within the measurement ‘box’ until they fit the images: ‘Shake The Box’ -
STB). New particles entering the measurement domain are identified using triangulation on the residual images.
Application of the method on a high-resolution time-resolved experimental dataset showed a reliable tracking of the
vast majority of available particles for long time-series with many particles being tracked for their whole length of stay
within the measurement domain. The image matching process ensures highly accurate particle positioning. Comparing
the results to tomographic PIV evaluations by interpolating vector volumes from the discrete particles shows a high
conformity of the results. The availability of discrete track information additionally allows for Lagrangian evaluations
not possible with PIV data, as well as easy temporal smoothing and a reliable determination of derivations.
The processing time of a not fully optimized version of STB proved to be a factor of 3 to 4 faster compared to the
fastest methods available for TOMO-PIV.

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北京欧兰科技发展有限公司
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