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Multi‐scale analysis of acoustic emission signals in dense‐phase pneumatic conveying of pulverized coal at high pressure
Author(s) -
He Lelu,
Yang Yao,
Huang Zhengliang,
Liao Zuwei,
Wang Jingdai,
Yang Yongrong
Publication year - 2016
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.15240
Subject(s) - microscale chemistry , mesoscale meteorology , particle (ecology) , pulverized coal fired boiler , flow (mathematics) , mass flow rate , mechanics , materials science , wavelet , signal (programming language) , phase (matter) , energy (signal processing) , coal , acoustics , geology , physics , meteorology , engineering , oceanography , mathematics education , mathematics , quantum mechanics , artificial intelligence , computer science , programming language , waste management
Acoustic emission technique in conjunction with multiscale processing method has been utilized to investigate the flow behavior of the dense‐phase pneumatic conveying system at high pressure. A clearly defined classification of microscale, mesoscale, and macroscale signals has been put forward with the aid of wavelet transform and V statistics analysis. The detailed signals d 1 –d 4 , d 5 –d 7 , d 8 –d 10 were recomposed into the microscale, mesoscale, and macroscale signals, respectively, which represent microscale particle‐wall interactions, mesoscale interaction between gas phase and solid phase (such as bubbles, plugs, dunes), and macroscale flow‐induced pipe vibration. Further analysis shows that as the mass flow rate of pulverized coal increases, the energy fraction (energy of detailed signal divided by the energy of original signal) of microscale signals decreases while that of mesoscale signals increases, which indicates that particles are more likely to move as particle aggregates than individual particles when mass flow rate increases. © 2016 American Institute of Chemical Engineers AIChE J , 62: 2635–2648, 2016