Electrostatic Sensor for Determining the Characteristics of Particles Moving From Deposition to Suspension in Pneumatic Conveying
Electrostatic Sensor for Determining the Characteristics of Particles Moving From Deposition to Suspension in Pneumatic Conveying
复制标题
静电传感器，用于确定气力输送中颗粒从沉积移动到悬浮的特性
DOI：
10.1109/jsen.2019.2945572
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发表时间：
2020-01
影响因子：
4.3
通讯作者：
Jia Lin
中科院分区：
文献类型：
--
作者：
Wang Chao;Jia Lin
The minimum conveying velocity or the lowest point of pressure drop curve can reflect the characteristics of particles moving from deposition to suspension in pneumatic conveying. However, when the mass flow rate is low, the change of particles flow cannot be effectively reflected by the above methods. In this paper, based on a 4-arc electrode electrostatic sensor, with localised sensitivity, the detailed scale signals that represent the particle random motion are extracted by the combination of Empirical Mode Decomposition (EMD) and Hurst exponent. The differences in the particle random motion energy ratio (PRMER) of 4-channel electrode signals are used to characterize the transition of flow state. In the verification experiment by using a belt-style electrostatic velocity measured rig, the higher the velocity of rubber belt or the closer to the electrode, the higher the PRMERs of electrostatic signal. In the experiment of gas-solid two-phase flow rig, the PRMERs of 4-channel electrode signals are all increasing with the increase of superficial gas velocity, and the PRMERs of different electrodes are rather different at low superficial gas velocity (<inline-formula> <tex-math notation="LaTeX">${V}_{g}$ </tex-math></inline-formula>). When <inline-formula> <tex-math notation="LaTeX">${V}_{g}$ </tex-math></inline-formula> drops at the minimum pressure drop point (<inline-formula> <tex-math notation="LaTeX">${P}_{{MPD}}$ </tex-math></inline-formula>), the PRMERs of top/bottom and left/right electrodes begin to separate (e.g. the particle mass flow rates are 100 kg/h and 120 kg/h). Furthermore, when the solid mass flow rate is 80 kg/h, the proposed method can clearly characterize the transition of flow states in the pipeline, but the pressure drop phase diagram cannot.
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影响因子：
2.2
作者：
X. Qian;H. Xiaobin;Huang Yonghui;Yong Yan
通讯作者：
X. Qian;H. Xiaobin;Huang Yonghui;Yong Yan
影响因子：
4.7
作者：
H. Kalman;E. Rabinovich
通讯作者：
H. Kalman;E. Rabinovich
DOI：
10.1017/cbo9781139207249.009
发表时间：
2012
期刊：
--
影响因子：
--
作者：
W. Marsden
通讯作者：
W. Marsden
影响因子：
3.7
作者：
Gui‐Bing Zhao;Yongrong Yang
通讯作者：
Gui‐Bing Zhao;Yongrong Yang
DOI：
10.1109/tim.2011.2174893
发表时间：
2012-05
影响因子：
5.6
作者：
Wenbiao Zhang;Chao Wang;Huaxiang Wang
通讯作者：
Wenbiao Zhang;Chao Wang;Huaxiang Wang