中国物理B ›› 2020, Vol. 29 ›› Issue (1): 14207-014207.doi: 10.1088/1674-1056/ab5936

• ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS • 上一篇    下一篇

A novel particle tracking velocimetry method for complex granular flow field

Bi-De Wang(王必得), Jian Song(宋健), Ran Li(李然), Ren Han(韩韧), Gang Zheng(郑刚), Hui Yang(杨晖)   

  1. 1 School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
    2 School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  • 收稿日期:2019-09-28 修回日期:2019-10-16 出版日期:2020-01-05 发布日期:2020-01-05
  • 通讯作者: Hui Yang E-mail:yanghui@usst.edu.cn
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant Nos. 11572201 and 91634202).

A novel particle tracking velocimetry method for complex granular flow field

Bi-De Wang(王必得)1, Jian Song(宋健)1, Ran Li(李然)2, Ren Han(韩韧)1, Gang Zheng(郑刚)2, Hui Yang(杨晖)1   

  1. 1 School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
    2 School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  • Received:2019-09-28 Revised:2019-10-16 Online:2020-01-05 Published:2020-01-05
  • Contact: Hui Yang E-mail:yanghui@usst.edu.cn
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant Nos. 11572201 and 91634202).

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摘要： Particle tracking velocimetry (PTV) is one of the most commonly applied granular flow velocity measurement methods. However, traditional PTV methods may have issues such as high mismatching rates and a narrow measurement range when measuring granular flows with large bulk density and high-speed contrast. In this study, a novel PTV method is introduced to solve these problems using an optical flow matching algorithm with two further processing steps. The first step involves displacement correction, which is used to solve the mismatching problem in the case of high stacking density. The other step is trajectory splicing, which is used to solve the problem of a measurement range reduction in the case of high-speed contrast The hopper flow experimental results demonstrate superior performance of this proposed method in controlling the number of mismatched particles and better measuring efficiency in comparison with the traditional PTV method.

关键词: particle tracking velocimetry, optical flow, displacement correction, trajectory splicing

Abstract: Particle tracking velocimetry (PTV) is one of the most commonly applied granular flow velocity measurement methods. However, traditional PTV methods may have issues such as high mismatching rates and a narrow measurement range when measuring granular flows with large bulk density and high-speed contrast. In this study, a novel PTV method is introduced to solve these problems using an optical flow matching algorithm with two further processing steps. The first step involves displacement correction, which is used to solve the mismatching problem in the case of high stacking density. The other step is trajectory splicing, which is used to solve the problem of a measurement range reduction in the case of high-speed contrast The hopper flow experimental results demonstrate superior performance of this proposed method in controlling the number of mismatched particles and better measuring efficiency in comparison with the traditional PTV method.

Key words: particle tracking velocimetry, optical flow, displacement correction, trajectory splicing

中图分类号:  (Imaging and optical processing)

  • 42.30.-d
47.11.-j (Computational methods in fluid dynamics) 47.57.Gc (Granular flow)