Experiment study of jetting characteristic in gas-solid fluidized bed using X-ray computed tomography

doi:10.11949/0438-1157.20210298

Abstract

Abstract:

An X-ray computed tomography (XCT) gas-solid flow parameter measurement system was constructed. The CT 3D reconstruction software was developed based on the cone beam filtered back projection algorithm (FDK), and the jet identification and quantification algorithm was designed. Based on the above method, the influence of bed material particle d_p, the aeration plate orifice diameter d₀, and the aeration plate orifice average area A₀ on jet shape and geometric characteristics at different fluidization gas velocity are obtained. The results show that the average jet length L, the maximum diameter D, and the volume V are inversely proportional to the bed material particle d_p, and directly proportional to the orifice diameter d₀ and the average orifice area A₀. Finally, the correlation equation of the average jet length of the fluidized bed is fitted.

Key words: XCT, fluidized-bed, jetting, mesoscale, multiphase flow

摘要：

构建了X光层析成像（XCT）气固流动参数测量系统，基于锥形束滤波反投影算法（FDK）开发了CT三维重建软件，并设计了射流识别及量化算法。基于以上方法获得了不同流化风速下床料粒径d_p、布风板孔口直径d₀和布风板孔口均分面积A₀对射流形态结构和几何特征的影响规律。结果表明平均射流长度L、最大直径D和体积V与床料粒径d_p成反比，与孔口直径d₀和孔口均分面积A₀成正比，最终拟合了流化床平均射流长度关联式。

关键词: X光层析成像测量系统, 流化床, 射流, 介尺度, 多相流

CLC Number:

TK 175

Shuguang LIU, Wenqi ZHONG, Xi CHEN. Experiment study of jetting characteristic in gas-solid fluidized bed using X-ray computed tomography[J]. CIESC Journal, 2021, 72(9): 4553-4563.

刘曙光, 钟文琪, 陈曦. 基于XCT的气固流化床布风板射流特征研究[J]. 化工学报, 2021, 72(9): 4553-4563.

Figures/Tables 25

Fig.1 Schematic diagram of X-ray tomography experimental setup

Table 1 Properties of bed material particles

材料	直径d_p/ mm	密度ρ_p/ （kg/m³）	空隙率ε_b	最小流化速度U_mf/(m/s)
石英砂	0.20~0.35	2650	0.50	0.07
石英砂	0.35~0.45	2650	0.48	0.14
石英砂	0.45~0.60	2650	0.45	0.29

Fig.2 A-type aeration plate (a); B-type aeration plate (b)

Table 2 Structural parameters of aeration plate

布风板类型	孔口数量n₀	孔口直径d₀/mm	孔口均分面积A₀/mm²
A-1	37	1	212
A-1.5	37	1.5	212
A-2	37	2	212
B-1	61	1	129

Fig.3 Cube plastic frame

Fig.4 Jet cross section

Fig.5 Jet gray image (a); Jet binary image (b)

Fig.6 Jet 3D reconstruction image

Fig.7 Jet x-slice gray image/binary image with different bed material size

Fig.8 Jet 3D image with different bed material size

Fig.9 Variation of average jet length L with jet velocity Uj

Fig.10 Variation of average jet diameter D with jet velocity Uj

Fig.11 Variation of average jet volume V with jet velocity Uj

Fig.12 Jet 3D image with different orifice diameter

Fig.13 Variation of average jet length L with jet velocity Uj

Fig.14 Variation of average jet diameter D with jet velocity Uj

Fig.15 Variation of average jet volume V with jet velocity Uj

Fig.16 Jet 3D image with different orifice average area

Fig.17 Variation of average jet length L with jet velocity Uj

Fig.18 Variation of average jet diameter D with jet velocity Uj

Fig.19 Variation of average jet volume V with jet velocity Uj

Fig. 20 Jet length scatter plot and fitting curve with different bed material size

Fig. 21 Jet length scatter plot and fitting curve with different orifice diameter

Fig. 22 Jet length scatter plot and fitting curve with different orifice average area

Fig. 23 Comparison of different jet length correlations

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