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Analysis on chaotic nature of a pressurized spout‐fluid bed by information theory based Shannon entropy
Author(s) -
Zhong Wenqi,
Wang Xiaofang,
Li Qianjun,
Jin Baosheng,
Zhang Mingyao,
Xiao Rui,
Huang Yaji
Publication year - 2009
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.20155
Subject(s) - chaotic , entropy (arrow of time) , statistical physics , thermodynamics , information theory , mechanics , mathematics , chaos theory , physics , statistics , computer science , artificial intelligence
Pressure fluctuation measurements were conducted in a pressurized spout‐fluid bed of 100 mm in diameter with bed pressure up to 0.4 MPa. Information theory based Shannon entropy analysis of pressure fluctuation was developed to recognize chaotic nature of gas–solid flows. It was found that both Shannon entropy and Shannon entropy increment rate were pronounced with the flow patterns and transitions. Moreover, Shannon entropy increment rate could describe the change of chaotic nature with operating conditions. Increasing chaotic nature was observed with increasing fluidizing gas flow rate. When elevating bed pressure, stable flow regions became large and the chaotic nature was weakened.