非均匀和非球形粒子的粒子跟踪测速算法

H.S. Tapia, J. Aragón, D. M. Hernandez, B.B. Garcia
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引用次数: 20

摘要

本文提出了一种用于流场中种子粒子个体识别的测速算法。该算法能够根据散射光的强度和粒子的大小和形状找到粒子对。流体的速度场和泥沙颗粒大小和形状不规则的和更高的密度比液体实验测量实验水槽和粒子跟踪测速技术(PTV)系统提供了双脉冲激光和高速CCD相机用于图像分析一个算法提出了工作能够给沉积物为不同的粒子速度范围和被证明是一个有用的和有效的工具的PTV分析流动种子非球形和非均匀示踪剂
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Particle Tracking Velocimetry (PTV) Algorithm for Non-uniform and Non-spherical Particles
An algorithm for velocimetry working with the individual identification of seeding particles in a flow is developed in this paper. The algorithm is able to find particle pairs by the intensity of the light scattered and the size and shape of the particles. The velocity field of fluids and sediment particles of irregular size and shape and higher density than the fluid were experimentally measured An experimental flume and a particle tracking velocimetry (PTV) system provided with a double pulsed laser and high speed CCD camera was used For image analysis an algorithm presented in this work was able to give sediment velocities for different particle ranges and proved to be a useful and efficient tool for PTV analysis of flows seed with non-spherical and non-uniform tracers
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