中文摘要：

粒子跟踪测速（PTV）是一种全新的无扰、瞬态、全场速度测量的方法,直接跟踪流场中的示踪粒子的运动,避免了粒子图像测速（PIV）方法的平均效应,具有准确、直观的特点。但是大多数PTV算法都是针对示踪粒子的,对于气泡运动的跟踪不一定合适。本文通过比较四种算法的配对结果,采用基于群体运动特征的PTV算法和4帧法相结合,以降低误匹配率,并针对气泡的合并、破裂等特殊情况,引入粒径配对度,实现了气泡的有效跟踪。

英文摘要：

Particle tracking velocimetry（PTV） is a non-invasive and instantaneous technique for full flow field measurement.It directly tracks the motion of particles and avoids the average effect of particle image velocimetry（PIV）,so it is of high accuracy and good intuition.Most of the PTV algorithms designed for particles tracking,however,are not suitable for tracking bubble motion.This paper compares four typical PTV algorithms and proposes a new algorithm aimed at the group motion behaviors of bubbles with the 4-frames method.For the special cases of bubble merging and breaking up,the concept of bubble size matching degree is adopted in this algorithm so as to effectively track the bubble motion at a rate of false matching much lower than the existing PTV techniques.