|Table of Contents|

[1] Lu Yong, Wang Fenglin, Wang Shimin,. Measuring particle size distribution and total number inthe activation chamber of desulfurization system by PIV [J]. Journal of Southeast University (English Edition), 2003, 19 (1): 83-87. [doi:10.3969/j.issn.1003-7985.2003.01.019]
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Measuring particle size distribution and total number inthe activation chamber of desulfurization system by PIV()
测量脱硫活化器内颗粒尺寸分布和 颗粒数的PIV技术

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
19
Issue:
2003 1
Page:
83-87
Research Field:
Environmental Science and Engineering
Publishing date:
2003-03-30

Info

Title:
Measuring particle size distribution and total number inthe activation chamber of desulfurization system by PIV
测量脱硫活化器内颗粒尺寸分布和 颗粒数的PIV技术
Author(s):
Lu Yong, Wang Fenglin, Wang Shimin
Key Laboratory of Clean Coal Power Generation and Combustion Technology of Ministry of Education, Southeast University, Nanjing 211096, China
陆勇, 汪凤林, 王式民
东南大学洁净煤发电及燃烧技术教育部重点实验室, 南京 210096
Keywords:
PIV image process desulfurization particle size distribution
PIV技术 图像处理 脱硫 颗粒尺寸分布
PACS:
X511
DOI:
10.3969/j.issn.1003-7985.2003.01.019
Abstract:
Application of particle image velocity(PIV)techniques for measuring particle size distribution and total number in an activation chamber of desulfurization system is introduced. Watersheld algorithm is used to choose the suitable initial gray level threshold which is used to change the gray level images taken by PIV to black and white ones, then every particle in an image is isolated totally. For every isolating particle, its contour is tracked by the edge enhancement filter function and kept by Freeman’s chain code. Based on a set of particle’s chin code, its size and size distribution are calculated and sorted. Finally, the experimental data of calcium particles and water drops, separately injected into the activation chamber, and the error analysis of data are given out.
颗粒尺寸分布及颗粒数是研究活化器脱硫效率的2个重要参数, 本文介绍了一种应用颗粒速度图像仪(PIV技术)测量脱硫活化器内颗粒尺寸分布和颗粒数的测量方法.为了提高测量的速度, 采用Watersheld算法计算图像中每个颗粒的灰度域值, 应用边缘增强滤波算子搜索每个颗粒图像的边缘, 并用Freeman链的格式保存搜索结果.基于各个颗粒的Freeman链数据, 可以计算出流场中颗粒的尺寸分布及颗粒数.最后给出了实际的测量数据及误差分析.研究结果表明PIV技术将是研究脱硫效率的一种重要的测试手段.

References:

[1] Zhang Mingyao. The generation technique of pressurized fluid bed combined cycle [M]. Nanjing: Southeast University Press, 1998. 4-10.(in Chinese)
[2] Adrian R J. Particle-imaging techniques for experiments fluid mechanics [J]. Ann Rev of Fluid Mech, 1991, 23: 261-304.
[3] Castleman K R. Digital image processing [M]. Beijing: Tsinghua University Press, 1998. 459-462.
[4] Lee W K, Pryanston-Cross P J. A real time video recorded particle imaging tracking technology for velocity measurement [J]. Optics and Laser in Engineering, 1997, 27(6): 621-636.

Memo

Memo:
Biographies: Lu Yong(1969—), male, lecturer, ly@seu.edu.cn; Wang Shimin, male, professor, smwang@seu.edu.cn.
Last Update: 2003-03-20