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一种应用于水流的纹影特性光流测速算法

黄天立 王倩

黄天立,王 倩. 一种应用于水流的纹影特性光流测速算法[J]. 实验流体力学,2021,35(5):81-89 doi: 10.11729/syltlx20200155
引用本文: 黄天立,王 倩. 一种应用于水流的纹影特性光流测速算法[J]. 实验流体力学,2021,35(5):81-89 doi: 10.11729/syltlx20200155
HUANG T L,WANG Q. A schlieren motion estimation method for water flow velocimetry[J]. Journal of Experiments in Fluid Mechanics, 2021,35(5):81-89. doi: 10.11729/syltlx20200155
Citation: HUANG T L,WANG Q. A schlieren motion estimation method for water flow velocimetry[J]. Journal of Experiments in Fluid Mechanics, 2021,35(5):81-89. doi: 10.11729/syltlx20200155

一种应用于水流的纹影特性光流测速算法

doi: 10.11729/syltlx20200155
基金项目: 国家自然科学基金(51976121,51306113)
详细信息
    作者简介:

    黄天立:(1997-),男,湖北鄂州人,硕士研究生。研究方向:流场纹影图像测速。通信地址:上海市闵行区东川路800号上海交通大学机械与动力工程学院(200240)。Email:huangtianli@sjtu.edu.cn

    通讯作者:

    E-mail:qianwang@sjtu.edu.cn

  • 中图分类号: TB937

A schlieren motion estimation method for water flow velocimetry

  • 摘要: 本论文基于光流优化算法,发展了一种适用于水流的纹影特性光流测速算法。在存在密度梯度的条件下,纹影图像的亮度反映了流场折射率的一阶导数,结合纹影亮度方程和流体连续性方程推导了适用于水的物理约束条件,采用二阶散度–旋度正则化作为空间平滑约束条件,基于两个约束条件构建了能量方程,通过变分法对能量方程进行最小化求解获得速度场。以热羽流为例,使用该算法对浮力羽流纹影图像进行了计算,并与互相关算法和传统光流算法的结果进行了比较。结果显示:本研究提出的算法能更好地体现流动特性,得到更高的空间分辨率。该方法基于纹影图像,无需在流场中添加示踪粒子,对流场无干扰,具有结构简单、使用方便等优点。
  • 图  1  图像相关测速法原理[8]

    Figure  1.  Schematic of image-correlation velocimetry algorithm[8]

    图  2  扩展光源纹影系统示意图

    Figure  2.  Diagram of schlieren system with an extended light source

    图  3  浮力羽流发生装置示意图

    Figure  3.  Diagram of buoyant plume generator

    图  4  “Z”形纹影装置示意图

    Figure  4.  Diagram of Z-type Schlieren arrangement

    图  5  原始纹影图像

    Figure  5.  Original schlieren image

    图  6  3种方法计算的流场速度结果

    Figure  6.  Velocity results of three methods

    图  7  3种方法计算流场速度的局部展示

    Figure  7.  Velocity contour of the selected part using three methods

    图  8  垂直速度分量沿直线的分布

    Figure  8.  Distribution of vertical velocity component along a line

    图  9  垂直速度分量的平均速度云图和矢量图

    Figure  9.  Mean velocity contours and vectors of vertical velocity component

    表  1  与水的密度相关的参数

    Table  1.   Coefficient related to the density of water

    a2a1a0b2b1b0
    1.4578×10–9–2.3505×10–65.3267×10–3–4.8538×10–77.5956×10–43.7763
    下载: 导出CSV

    表  2  水温0~100 ℃时水的密度

    Table  2.   Density of water in the range 0-100 ℃

    T/℃01020304050 60 70 80 90 100
    ρ/(g·cm–30.999 840.999 700.998 210.995 650.992 220.988 03 0.983200.977780.971820.965350.95840
    下载: 导出CSV
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  • 被引次数: 0
出版历程
  • 收稿日期:  2020-12-07
  • 修回日期:  2021-02-21
  • 网络出版日期:  2021-09-29
  • 刊出日期:  2021-11-05

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