Color-PTV measurement and CFD-DEM simulation of the dynamics of poly-disperse particle systems in a pseudo-2D fluidized bed. (6th April 2018)

• Record Type: Journal Article
• Authors: Jiang, Zhaochen; Hagemeier, Thomas; Bück, Andreas; Tsotsas, Evangelos
• Is Part Of: Chemical engineering science. Volume 179(2018)
• Page Start: 115
• Page End: 132
• Publication Date: 2018-04-06
• Subjects: Color-PTV -- Granular temperature -- Size dispersity -- Mixing -- CFD-DEM -- Fluidized bed; Chemical engineering -- Periodicals; Génie chimique -- Périodiques; Chemical engineering; Periodicals; Electronic journals; 660
• DOI: 10.1016/j.ces.2018.01.013
• Languages: English
• ISSNs: 0009-2509

Abstract

Graphical abstract: Highlights: Novel color-PTV is introduced to measure individual particle velocities in mixtures. Comprehensive verification of color-PTV method is conducted by CFD-DEM data. Detailed comparisons are conducted between CFD-DEM and color-PTV measurements. Correction for effect of particle size dispersity is required for accurate CFD-DEM. 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.