Statistical and frequency analysis of the pressure fluctuation in a fluidized bed of non-spherical particles

被引:25
作者
He, Honghao [1 ]
Lu, Xiaofeng [1 ]
Shuang, Wei [1 ]
Wang, Quanhai [1 ]
Kang, Yinhu [1 ]
Yan, Liyun [1 ]
Ji, Xuanyu [1 ]
Luo, Guangyu [2 ]
Liu, Hai [2 ]
机构
[1] Chongqing Univ, Minist Educ, Key Lab Low Grade Energy Utilizat Technol & Syst, Chongqing 400044, Peoples R China
[2] Sichuan Nanxi Boiler Ltd, Nanxi Yibin 644100, Sichuan, Peoples R China
来源
PARTICUOLOGY | 2014年 / 16卷
关键词
Fluidized bed; Non-spherical particles; Pressure fluctuation; Transition velocity; POWER SPECTRAL DENSITY; NONINTRUSIVE DETERMINATION; VELOCITY; REGIMES; ABSOLUTE; BUBBLE; DISTRIBUTIONS; TRANSITION; PLENUM; SIZE;
D O I
10.1016/j.partic.2014.02.004
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In this paper, the pressure fluctuation in a fluidized bed was measured and processed via standard deviation and power spectrum analysis to investigate the dynamic behavior of the transition from the bubbling to turbulent regime. Two types (Geldart B and D) of non-spherical particles, screened from real bed materials, and their mixture were used as the bed materials. The experiments were conducted in a semi-industrial testing apparatus. The experimental results indicated that the fluidization characteristics of the non-spherical Geldart D particles differed from that of the spherical particles at gas velocities beyond the transition velocity U-c. The standard deviation of the pressure fluctuation measured in the bed increased with the gas velocity, while that measured in the plenum remained constant. Compared to the coarse particles, the fine particles exerted a stronger influence on the dynamic behavior of the fluidized bed and promoted the fluidization regime transition from bubbling toward turbulent. The power spectrum of the pressure fluctuation was calculated using the auto-regressive (AR) model; the hydrodynamics of the fluidized bed were characterized by the major frequency of the power spectrum of the pressure fluctuation. By combining the standard deviation analysis, a new method was proposed to determine the transition velocity U-k via the analysis of the change in the major frequency. The first major frequency was observed to vary within the range of 1.5 to 3 Hz. (C) 2014 Published by Elsevier B.V. on behalf of Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences.
引用
收藏
页码:178 / 186
页数:9
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