Abstract In a pseudo-2D fluidized bed, a new color particle tracking velocimetry (PTV) method, integrating the Voronoi tracking algorithm and the relaxation probability tracking algorithm, is proposed to measure velocities of individual particles with different sizes marked by distinguishable colors. Thorough verification of the color-PTV methodology is conducted based on synthetic images generated from CFD-DEM simulation data, in terms of segmentation bias, segmentation ratio, recovery ratio and error ratio. The novel color-PTV methodology shows very good performance in simultaneously tracking a large number of different individual particles in poly-disperse systems. Experimental results are used to compare with CFD-DEM simulations using different drag models. Simulations with correction for the effect of particle size dispersity in the drag model show significantly better agreement with respect to the mixing index, time-averaged volumetric particle flux, distributions of individual particle velocity as well as distributions of particle granular temperature.

中文翻译：

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准二维流化床中多分散颗粒系统动力学的彩色 PTV 测量和 CFD-DEM 模拟

摘要 在伪二维流化床中，提出了一种结合Voronoi 跟踪算法和松弛概率跟踪算法的彩色粒子跟踪测速(PTV) 新方法，用于测量用可区分颜色标记的不同尺寸的单个粒子的速度。基于从 CFD-DEM 模拟数据生成的合成图像，在分割偏差、分割率、恢复率和错误率方面对彩色 PTV 方法进行了彻底验证。新颖的彩色 PTV 方法在同时跟踪多分散系统中的大量不同单个粒子方面表现出非常好的性能。实验结果用于与使用不同阻力模型的 CFD-DEM 模拟进行比较。