详细信息
Experimental research of flow patterns and pressure signals in horizontal dense phase pneumatic conveying of pulverized coal ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:Experimental research of flow patterns and pressure signals in horizontal dense phase pneumatic conveying of pulverized coal
作者:Cong, Xingliang[1];Guo, Xiaolei[1];Gong, Xin[1];Lu, Haifeng[1];Dong, Weibing[1]
机构:[1]E China Univ Sci & Technol, Key Lab Coal Gasificat, Minist Educ, Shanghai 200237, Peoples R China
年份:2011
卷号:208
期号:3
起止页码:600
外文期刊名:POWDER TECHNOLOGY
收录:;EI(收录号:20111213768696);WOS:【SCI-EXPANDED(收录号:WOS:000289602100005)】;
基金:The authors acknowledge financial support from the National key Program of Basic Research in China (2010CB227002-3), Hi-tech Research and Development Program of China (2007AA050301).
语种:英文
外文关键词:Dense phase; Pneumatic conveying; Flow patterns; Pressure signals; pulverized coal
摘要:Understanding flow patterns and their variability is important for optimal design and trouble free dense phase pneumatic conveying of pulverized coal in a horizontal tube. Employing the electrical capacitance tomography (ECT), six flow patterns were identified and utilized for quantitative analysis based on the value and distribution of cross-sectional solid concentration. The dense-phase flow patterns in the horizontal tube of the pneumatic conveying system were somehow variable even when the operating conditions were unchanged. The probability calculation results suggest changing multiple flow patterns with one or two dominant flow for each of the seven sets of experimental conveying conditions and that a finite change in the dominant flow pattern would occur with an increasing superficial gas velocity. The power spectral density (PSD) function and the Hurst exponent of the pressure signals of the pulverized coal were well correlated with its flow patterns in a horizontal tube. The PSD functions and probability density functions (PDFs) of the void fraction signals from Ea are found to be related with flow patterns and can be used to quantitatively identify flow regimes. The ECT data may therefore be utilized for monitoring the flow patterns in a horizontal tube employed for pneumatic conveying of pulverized coal. (C) 2010 Elsevier B.V. All rights reserved.
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