Premium
Multiresolution analysis on identification and dynamics of clusters in a circulating fluidized bed
Author(s) -
Yang TungYu,
Leu Liiping
Publication year - 2009
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.11758
Subject(s) - fluidization , cluster (spacecraft) , turbulence , wavelet , fluidized bed , mechanics , fluidized bed combustion , flow (mathematics) , chemistry , thermodynamics , analytical chemistry (journal) , statistical physics , materials science , physics , chromatography , computer science , artificial intelligence , programming language
A new wavelet‐threshold criterion was developed to distinguish the cluster and the void phases from the transient solids holdup/concentration fluctuation signals when measured in a 108 mm‐i.d. × 5.75 m‐high circulating fluidized bed with FCC particles (d p = 78 μm, ρ p = 1,880 kg/m 3 ). An appropriate level of approximation subsignal was systematically specified as a threshold for cluster identification, based on multiresolution analysis (MRA) of wavelet transformation. By the established threshold, the dynamic properties of clusters including the appearance time fraction of clusters F cl , average cluster duration time τ cl , cluster frequency f cl , and local average solids holdup in clusters ε sc , at different radial and axial positions were determined under the turbulent, transition and fast fluidization flow regimes. The results also describe the dynamic properties of clusters and flow patterns in the splash zone along with the dense bottom region of the circulating fluidized beds. © 2009 American Institute of Chemical Engineers AIChE J, 2009