基于数字粒子图像处理的细水雾雾场速度测量
关键词 细水雾 DPIV 速度测量 示踪粒子
毕业设计说明书（论文）外文摘要
Title Velocimetry Measurement of Water Mist Based on
Digital Particle Image Velocimetry
Abstract
Due to security, quick fire suppression, less water usage in its merit, water mist is regard as the main alternatives to the Halon extinguishing agent. So the study on its characteristics parameter is significant. As the momentum parameter is one of the characteristics parameter, the mean of velocimetry measurement is studied in this paper. Digital Particle Image Velocimetry has become an extremely important measurement technology because of non-interference, instantaneous, low cost. The algorithm of DPIV mainly includes autocorrelation and cross correlation. The paper selects cross-correlation algorithm based on FFT and realizes the algorithm by Matlab7.7.0. By comparing with improved algorithm, it is proved to be better. The results of translation test, rotation test and the sub-pixel fit test further show that the algorithm has good accuracy and precision. The author uses the algorithm to measure velocimetry of the water mist and analyzes the experimental data. The conclusion can be that:
the velocimetry of water mist increases as the increase of injection pressure. Under ventilation condition, the higher the injection pressure is, the better atomization effect will be and the smaller the droplet size is. Then the air flow will have greater impact on droplet speed; The higher the wind speed is, the heavier the sub-component velocity of droplet in the horizontal direction will be when the sub-component velocity of droplet in the vertical direction remains unchanged. Thus the total speed of droplet will increase.
Keywords Water Mist; DPIV; Velocimetry Measurement; Tracer Particle
目 录
1 引言 1
1．1 课题背景和意义 1
1．2国内外DPIV的研究现状 2
1.2.1国外研究现状 2
1.2.2国内研究现状 3
1．3 主要工作和研究内容 4
2 DPIV算法研究 5
2．1基本原理 5
2．2 相关函数的引入 6
2．3 基本的相关算法 6
2．4 改进的相关算法 7
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