Micro-flow structure at regime transition from bubbling to turbulent fluidization in a fluidized bed

被引:4
作者
Yan, Chaoyu [1 ]
Yuan, Yue [2 ,3 ]
Wei, Xiaoyang [2 ]
Zhu, Jesse [3 ]
机构
[1] China Univ Petr, Coll Mech & Transportat Engn, State Key Lab Heavy Oil Proc, Beijing Key Lab Proc Fluid Filtrat & Separat, Beijing 102249, Peoples R China
[2] Univ Nottingham, China Beacons Inst, Ningbo 315100, Peoples R China
[3] Univ Western Ontario, Dept Chem & Biochem Engn, London, ON N6A 5B9, Canada
来源
PARTICUOLOGY | 2024年 / 89卷
关键词
Flow regime transition; Bubbling fluidization; Turbulent fluidization; Micro-flow structure; Differential pressure fluctuation; PRESSURE FLUCTUATION SIGNALS; WAVELET MULTIRESOLUTION ANALYSIS; FREQUENCY-ANALYSIS; DYNAMIC-BEHAVIOR; ONSET VELOCITY; CHAOS; HYDRODYNAMICS; RESOLUTION; TRANSFORM; CLUSTERS;
D O I
10.1016/j.partic.2023.09.021
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Gas-solid fluidized beds have found extensive utilization in frontline manufacturing, in particular as lowvelocity beds. The fluidization status, the bubbling or turbulent flow regime and the transition in between, determine the system performance in practical applications. Though the convoluted hydrodynamics are quantitively evaluated through numerous data-processing methodologies, none of them alone can reflect all the critical information to identify the transition from the bubbling to the turbulent regime. Accordingly, this study was to exploit a coupling data processing methodology, in the combination of standard deviation, power spectrum density, probability density function, wavelet transform, and wavelet multiresolution method, to jointly explain the micro-flow structure at the regime transition from bubbling to turbulent fluidization. The transient differential pressure fluctuation was measured for the evaluation in a fluidized bed (0.267 m i.d. x 2.5 m height) with FCC catalysts (dp = 65 mm; rp = 1780 kg=m3) at different superficial gas velocities (0.02-1.4 m/s). The results show that the onset of turbulent fluidization starts earlier in the top section of the bed than in the bottom section. The wavelet decomposition displays that the fluctuation of differential pressure mainly concentrates on the sub-signals with an intermediate frequency band. These sub-signals could be synthesized into three types of scales (micro-scale, mesoscale, and macro-scale), representing the multi-scale hydrodynamics in the fluidized bed. The microscale signal has the characteristic information of bubbling fluidization, and the characteristic information of turbulent fluidization is mainly represented by the meso-scale signal. This work provides a systematic comprehension of fluidization status assessment and serves as an impetus for more coupling analysis in this sector. 0 2023 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:117 / 130
页数:14
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