微尺度化学
煤粉锅炉
信号(编程语言)
流量(数学)
小波
航程(航空)
材料科学
能量(信号处理)
机械
煤
计算机科学
物理
数学
工程类
人工智能
统计
数学教育
复合材料
程序设计语言
废物管理
作者
Yong Jin,Haifeng Lu,Xin Gong,Xin Gong
摘要
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.
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