基于特征相似度匹配PTV法的稀相气固两相流流场的测量

Measurement of Flow Field Based on PTV of the Feature Similarity Matching in Dilute Gas-solid Flow

提出一种基于几何特征和归一化转动惯量特征相似度相结合的粒子跟踪测速算法。该方法采用高速摄像机拍摄流化床中气固两相流的稀相颗粒运动图像,经图像处理后,提取特征参数,进而应用面积和周长相似度对颗粒进行初步筛选匹配。然后对经过初步筛选后的颗粒进行归一化转动惯量最佳相似度的匹配,从而准确快速地实现颗粒匹配,进而计算出气固两相流颗粒的流速。实验结果表明,该方法能准确地跟踪稀相颗粒,是一种行之有效的稀相流场速度测量方法。

A particle tracking velocimetry algorithm based on geometric feature similarity and normalized moment of inertia feature similarity was proposed.Dilute-phase particles motion images of gas-solid flow were captured by a high-speed camera system,the images characteristic parameters were extracted using image processing technique,then particles were preliminarily screened and matched using area and perimeter similarity.The preliminary screening particles were matched using the normalized inertia best similarity and particle matching had been realized quickly and accurately,then velocity and acceleration of particles gas-solid flow had been calculated.The test results show this method can accurately track dilute-phase particles and it is an effective way to measure dilute-phase flow velocity.