Cross-Correlation Sensitivity-Based Electrostatic Direct Velocity Tomography
Cross-Correlation Sensitivity-Based Electrostatic Direct Velocity Tomography
复制标题
基于互相关灵敏度的静电直接速度断层扫描
DOI：
10.1109/tim.2020.3001412
复制
发表时间：
2020-11-01
影响因子：
5.6
通讯作者：
Ye, Jiamin
中科院分区：
文献类型：
--
作者：
Wang, Chao;Zhang, Shuai;Ye, Jiamin
静电层析成像（EST）在许多工业过程中广泛应用于气固两相流中测量粒子速度。然而，EST是一种被动测量技术，与其他层析成像方式相比，这导致了罕见的独立测量。本文提出了一种静电直接速度层析成像（EDVT）方法，以增加独立测量的次数，提高速度估计的精度。对于两平面静电传感器，两平面上不同周向位置电极间的互相关速度（CC）可以表示不同区域的粒子速度。首先，计算了不同平面上电极之间的CC速度，并将其作为新的测量值。通过这种方式，16电极EST传感器的独立测量次数可以很容易地从16增加到120。其次，通过分析CC速度与粒子电荷和粒子速度分布的关系，建立了CC灵敏度矩阵；最后，基于新的测量结果和CC灵敏度矩阵，可以建立表征带电粒子速度分布的层析模型。仿真和实验结果表明，EDVT重构的速度分布能较好地反映管道内颗粒的速度分布，有望为研究气固两相流动机理提供一种方法。
Electrostatic tomography (EST) has been widely used in gas-solid two-phase flows to measure particle velocity in many industrial processes. However, EST is a passive measurement technique, and this results in rare independent measurements compared with other tomographic modalities. In this article, an electrostatic direct velocity tomography (EDVT) method is proposed to increase the number of independent measurements and to improve the accuracy of velocity estimation. For a two-plane electrostatic sensor, the cross-correlation (CC) velocities between the electrodes from the two planes at different circumferential positions can represent the particle velocities in different regions. First, the CC velocities between the electrodes on different planes are calculated and used as new measurements. In this way, the number of independent measurements of a 16-electrode EST sensor can be easily increased from 16 to 120. Second, by analyzing the relationship between the CC velocities and the particle charge and particle velocity distribution, a CC sensitivity matrix is established. Finally, a tomographic model to represent the velocity distribution of charged particles can be established based on the new measurements and the CC sensitivity matrix. Simulation and experimental results show that the velocity distribution reconstructed by EDVT can represent the particle velocity distribution in the pipeline and is promising to provide a method to study the mechanism of gas-solid two-phase flows.