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Multiscale analysis of flow patterns in the dense‐phase pneumatic conveying of pulverized coal
Author(s) -
Jin Yong,
Lu Haifeng,
Guo Xiaolei,
Gong Xin
Publication year - 2019
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.16674
Subject(s) - microscale chemistry , pulverized coal fired boiler , signal (programming language) , flow (mathematics) , wavelet , range (aeronautics) , materials science , energy (signal processing) , mechanics , coal , computer science , physics , mathematics , engineering , artificial intelligence , statistics , mathematics education , waste management , composite material , programming language
Abstract Four typical flow patterns in the vertical pipe of the dense‐phase pneumatic conveying of pulverized coal were obtained, namely packed bed flow, plug flow, churn flow and less dense phase flow. The electrical capacitance tomography (ECT) was used for space–time multiscale analysis. Firstly, Daubechies second order wavelet transform and rescaled range analysis(R/S) were applied for the scientific multiscale decompositions. The multiscale frequency range is that the microscale signal is d 1 – d 5 (2.1875, 70.0000) Hz, the mesoscale signal is d 6 and d 7 (0.5469, 2.1875) Hz and the macroscale signal is d 8 – d 11 (0.0342, 0.5469) Hz. The multiscale ECT signal characteristics of pure gas flow, particle–wall friction, and particle–particle collision were determined by experiments. The multiscale ECT signal energy matrix is proposed, based on the multiscale energy structure characteristics. Control mechanisms and multiscale statistical rules of four typical flow patterns are obtained. This study provides theoretical support for the study of flow pattern transformation of dense‐phase pneumatic conveying.