CN1654962A - Two-phase flow digital particle image speed measurement method and device - Google Patents

Two-phase flow digital particle image speed measurement method and device Download PDF

Info

Publication number
CN1654962A
CN1654962A CN 200510048931 CN200510048931A CN1654962A CN 1654962 A CN1654962 A CN 1654962A CN 200510048931 CN200510048931 CN 200510048931 CN 200510048931 A CN200510048931 A CN 200510048931A CN 1654962 A CN1654962 A CN 1654962A
Authority
CN
China
Prior art keywords
particle
image
drop
trace
phase flow
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN 200510048931
Other languages
Chinese (zh)
Other versions
CN100348980C (en
Inventor
阮晓东
傅新
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang University ZJU
Original Assignee
Zhejiang University ZJU
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhejiang University ZJU filed Critical Zhejiang University ZJU
Priority to CNB200510048931XA priority Critical patent/CN100348980C/en
Publication of CN1654962A publication Critical patent/CN1654962A/en
Application granted granted Critical
Publication of CN100348980C publication Critical patent/CN100348980C/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Indicating Or Recording The Presence, Absence, Or Direction Of Movement (AREA)

Abstract

This invention discloses a two-phase flow digital particle image speed test method and its device, which uses suitable particles to trace flow of fluids and uses high speed CCD camera to register motion images for tracing particles, liquid drops or gas bubbles, applies an image process method to separate the images of scattered phase particles drops or bubbles from original images and extracts velocities of them from their images and applies an improved cross correlation technology based on quick Fourier transformation to extract the velocity field of the tracing particles to realize the synchronous measurement to the two phase flows with different phase velocity fields. The device includes a HeNe laser, a triple prism and a cylinder lens, a high speed CCD camera, an image collecting card and a control and image process computer.

Description

The method of two-phase flow digital particle image speed measurement and device thereof
Technical field
The present invention relates to polyphasic flow flow field detection method and device, relate in particular to a kind of method and device thereof of two-phase flow digital particle image speed measurement.
Background technology
Diphasic flow extensively is present in the engineerings such as heat energy, space flight, nuclear energy, chemical industry, metallurgy, oil and in water environment and the Air Pollutant Emission.For example strength and waterpower are carried, dust separation and collection, and the liquid spray painting is coated with, coal dust firing, fluidized bed, the solid propellant rocket jet pipe flows, and the interior steam water two phase flow of reactor moves and converter includes flowing of bubble etc.The current more modern non-contact measurement that is based on laser technology of measurement that flows for two-phase flow comprises Laser Doppler Velocimeter (LDV) and phase Doppler particle analyser (PDPA or PDA).Although measure when these technology can realize two phase velocities, but no matter LDA or PDPA, exist a major defect promptly only to carry out single-point or multimetering, the time average statistics speed of turbulent flow can only be obtained, therefore the requirement of measuring the enough big regional turbulent flow instantaneous velocity field that comprises coherent structure can't be satisfied.PDPA can only be used for measuring the good particle of circularity in addition, and its effective measurement volumes depends on the size and the density of particle.In addition, LDV and PDPA have complicated optical measuring system, bring inconvenience to measurement.
DPIV (Digital Particle Image Velocimetry) instrument (DPIV) is a kind of whole flow field multimetering technology that is grown up by the solid mechanics speckle method.This technological breakthrough the restriction of traditional spot measurement, can be instantaneous noncontacting measurement whole flow field instantaneous velocity distribute, and have higher precision.Its ultimate principle is: evenly dispense trace particle in the flow field, and incide in the territory, institute flow measurement place with laser light sheet, by in very little time interval Δ t, double or multiexposure, multiple exposure obtains digital picture by ccd video camera.In Flame Image Process, adopt auto-correlation or simple crosscorrelation scheduling algorithm to obtain the whole flow field velocity distribution.But the particle image velocimeter that uses can only be applied to single-phase mobile measurement at present, and can not carry out synchro measure to the not homophase of diphasic flow.
Summary of the invention
The method and the device thereof that the purpose of this invention is to provide a kind of two-phase flow digital particle image speed measurement.
The step of method is as follows:
1) spreading trace particle in Two-Phase Flow Field, the motion of dense-phase fluid has been represented in the motion of trace particle;
2) laser beam sent of helium-neon laser is the planar chip light source by prism, cylindrical lens scattering, and the planar chip light source impinges perpendicularly on the plane, flow field of shooting by transparent window;
3) take the two-phase flow motion with the high-speed CCD video camera, obtain trace particle and dispersion particle, drop or motion of air bubbles image;
4) adopt image process method to carry out trace particle and dispersion particle, drop or bubble separation of images the moving image that obtains, obtain the image and the trace particle image of particle, drop or bubble respectively;
5) the trace particle image is extracted the velocity field of trace particle with what improved based on the particle picture cross-correlation method of FFT; Image to particle, drop or bubble extracts individual particle, drop or motion of air bubbles speed with the particle tracking, realizes each synchro measure that flows mutually of fluid one particle, drop or bubble.
Describedly carry out trace particle and particle, drop or bubble separation: be to use the maximum between-cluster variance selected threshold, trace particle and particle, drop or bubble are separated from background with image process method; With morphologic caustic solution with trace particle and particle, drop or bubble separation of images.
With having improved the velocity field of extracting trace particle based on FFT particle picture cross-correlation method: be in two query windows with simple crosscorrelation, second window is extended to the scope that the particle in first window can not be run out of through the Δ t time, Δ t is the two continuous frames image time interval, and turns right and down attached 0 continue to be extended to 2 power; First window is turned right and is down attached 0, is extended to and second window window of a size, and the velocity field of the trace particle of extraction has promptly been represented the velocity field of dense-phase fluid.
Extract individual particle, drop or motion of air bubbles speed with the particle tracking: be to adopt the binary image correlation method, when the pattern of candidate's particle overlap with the pattern of reference particle area maximum be the particle that will discern.
The two-phase flow digital particle image speed measurement device has helium-neon laser, prism, cylindrical lens, high-speed CCD video camera, image pick-up card, control and pattern process computer successively.
The sheet optical plane that the optical axis of described high-speed CCD video camera and helium-neon laser produce is perpendicular.
Optical system of the present invention is simple, and light source adopts the He-Ne Lasers light source, is a continuous light source, rather than the dipulse light source of traditional DPIV, does not therefore need chronotron to be used to accept light pulse amount of delay prepositioned instruction; Helium-neon laser monochromaticity is good, and the intensity of laser beam has Gaussian distribution, is well suited for particle image velocimetry; The pointolite that helium-neon laser sends utilizes prism, the simple optical device of cylindrical lens just can form sheet light; Adopt the high-speed CCD digital camera, rather than traditional DPIV stride frame CCD digital camera, therefore do not need isochronous controller control laser instrument and video camera synchronous working, the course of work is very simple.
Description of drawings
Fig. 1 is a two-phase flow digital particle image speed measurement apparatus structure synoptic diagram;
Fig. 2 is an image processing software FB(flow block) of the present invention;
Fig. 3 is that block diagram is carried out in the computing that the present invention is based on the FFT cross correlation algorithm;
Fig. 4 is that query window of the present invention changes synoptic diagram;
Fig. 5 is the schematic diagram of binary image cross correlation algorithm of the present invention;
Fig. 6 is the embodiments of the invention devices;
Fig. 7 is the gas-liquid two-phase stream picture in the embodiment of the invention;
Fig. 8 is the velocity field that measures liquid and bubble in the embodiment of the invention.
Embodiment
The present invention is with method and a kind of two-phase flow digital particle image speed measurement device with simple optical measuring system of digital particle image technology synchro measure gas-liquid, gas-solid or each phase velocity of diphasic flow such as liquid-solid, to realize that diphasic flow is instantaneous, the measurement of the whole audience.
The technical solution adopted in the present invention is with the flowing of suitable particle spike dense-phase fluid, and obtains the two-phase flow moving image with the high-speed CCD video camera, also is trace particle and dispersion particle, drop or motion of air bubbles image.Because the image of trace particle and dispersion particle, drop or bubble has tangible difference at aspects such as geometric size, gray-scale values, utilize these information, selected optimal threshold and corroding method are separated the image of dispersion particle, drop or bubble in the employing Flame Image Process from original image.Adopt the method for particle tracking to extract the speed of particle, drop or bubble to isolated dispersion particle, drop or bubble diagram picture, and to the trace particle image adopt improved extract the velocity field of trace particle based on the cross-correlation technique of FFT (fast fourier transform), be the speed of dense-phase fluid, to realize the synchro measure of the different phase Velocity Field of diphasic flow.
As shown in Figure 1, the two-phase flow digital particle image speed measurement device has helium-neon laser 1, prism 2, cylindrical lens 3, high-speed CCD video camera 4, image pick-up card 5, control and pattern process computer 6 successively.The sheet optical plane that the optical axis of high-speed CCD video camera 4 and helium-neon laser 1 produce is perpendicular.
The trace particle of suitable size of spreading and concentration is used to follow the tracks of the motion of dense-phase fluid in Two-Phase Flow Field.Trace particle should satisfy in fluid and evenly distributes, has good light scattering, can follow fluid motion exactly, can't change the characteristic of detected fluid.Open helium-neon laser 1, the continuous laser beam that laser instrument sends is by prism 2 guiding, by the sheet optical illumination flow field of cylindrical lens 3 formation.According to needed optical thickness and field of illumination, can adjust the position of prism 2 and cylindrical lens 3.Computing machine 6 is assigned the order of images acquired to high-speed CCD video camera 4.During shooting, video camera 4 optical axises must be perpendicular with the laser sheet optical plane.According to flowing velocity the shooting speed of high-speed camera is set, flowing velocity is big more, and the speed of shooting should be selected big more.The flow field consecutive image that video camera 4 is gathered is stored apace and is transported in real time in the computing machine 6 by image pick-up card 5, and carries out follow-up Flame Image Process.
Image pick-up card 5 is to be inserted in the slot of computing machine 6, computing machine 6 adopts the Intel Pentium 4,256 MB of memory, the desk-top computer that the 40G hard disk is above, and computer acquisition software for display, particle-particle image separation software, particle picture simple crosscorrelation software and particle tracking software are housed.The computer acquisition software for display is real-time collection and the demonstration that realizes the stream field image, and this software generally is that image pick-up card carries.The high-speed CCD video camera obtains the two-phase flow image, also is the image of trace particle and dispersion particle, drop or bubble.At first separate software and carry out particle-particle, drop or bubble separation, obtain the image and the trace particle image of particle, drop or bubble respectively obtaining image with particle-particle image.To the velocity field of trace particle image, promptly obtain the speed of dense-phase fluid with particle picture simple crosscorrelation software extraction trace particle; Image to particle, drop or bubble is followed the tracks of the velocity field that software extracts particle, drop or bubble with particle, and the Flame Image Process flow process as shown in Figure 2.
The principle of work that particle-particle image separates is based on the uncontinuity and the similarity of gradation of image.At first trace particle and particle, drop or bubble are separated from background, method is the gray threshold T of selected the best, and (during 0≤m≤L) greater than threshold values T, this pixel is an object pixel, otherwise is background pixel as pixel grey scale m.Wherein choosing of threshold value T plays a crucial role, and determined the accuracy of separating, and directly influenced The ultimate results.When the inter-class variance σ of formula (1) (T) is maximum, can obtain best threshold values:
σ(T)=w0×(u0-u) 2+w1×(u1-u) 2 T=0,1...L-1 (1)
Wherein:
w 0 = Σ i = 0 T P i / P w 1 = Σ T + 1 L - 1 P i / P u 0 = Σ i = 0 T i × P i / Σ i = 0 L - 1 P i u 1 = Σ i = T + 1 L - 1 i × P i / Σ i = 0 L - 1 P i
u=w0×u0+w1×u1
Pi is that gray-scale value is the number of the pixel of i in the formula, and P is a total number-of-pixels in the image.
Because particle, drop or bubble volume are generally big than trace particle, adopt morphologic caustic solution to realize separating of particle and particle, drop or bubble, its mathematic(al) representation is:
AB={Z|B zA} (2)
Formula (2) expression B is to the corrosion of A, and wherein B is a construction operator matrix, and A is an original image, gets
B = 1 1 1 1 1 1 1 1 1
Original image is carried out erosion operation, demarcate the position of particle, drop or bubble, realize separating of trace particle and particle, drop or bubble.
Velocity field that the particle picture cross-correlation method is extracted trace particle is based on the FFT cross correlation algorithm that has improved, and extracts the average movement velocity of trace particle in the local tiny area, replaces the speed of tiny area central point with average velocity.This method is regarded digitized image as time dependent discrete 2D signal field sequence, utilizes the method for signal analysis, obtains the displacement of particle in the image by the cross correlation function that calculates continuous two width of cloth images.Fig. 3 has represented the computing execution block diagram of algorithm.
As shown in Figure 3, this algorithm be on the same position of two two field pictures (t and t+ Δ t constantly), choose two query window f (i, j) and g (i, j), the size of window is M * N.In order to improve measuring accuracy, and avoid fft algorithm false value to occur, two query windows choosing are made some changes, as shown in Figure 4.At first second window I2 is extended to (M+2D Max, N+2D Max) (shown in Fig. 4 (a)), D MaxMaximum displacement for particle.Because (M+2D Max) and (N+2D Max) 2 power not necessarily, therefore with I 2Turn right and down attached 0, be extended to 2 power (as Fig. 4 (b)).At last with first window I 1Turn right and down attached 0, be extended to and I 2Window of a size (as Fig. 4 (b)).Two newly-generated windows are carried out simple crosscorrelation:
φ fg * ( m , n ) = Σ i = 0 M * - 1 Σ j = 0 N * - 1 f * ( i , j ) g * ( i + m , j + n ) - - - - ( 3 )
Wherein M * = 2 &alpha; if 2 &alpha; - 1 < M + 2 D max &le; 2 &alpha; N * = 2 &beta; if 2 &beta; - 1 < M + 2 D max &le; 2 &beta; , Here α, β is an integer.Symbol ( *) the new window of representative.
New function f *And g *With the pass of original function f and g be:
f * ( i , j ) = f ( i , j ) , 0 &le; i &le; M - 1 , 0 &le; j &le; M - 1 f * ( i , j ) = 0 M &le; i &le; 2 &alpha; , N &le; j &le; 2 &beta;
g * ( i , j ) = g ( i , j ) , 0 &le; i &le; M + 2 D max - 1 , 0 &le; j &le; N + 2 D max - 1 g * ( i , j ) = 0 M + 2 D max &le; i &le; 2 &alpha; , N + 2 D max &le; j &le; 2 &beta;
If it should be noted that (m p, n p) be function phi * FgPeak value, particle displacement
Figure A20051004893100075
Should be (m p-D Max, n p-D Max), rather than (m p, n p).By displacement And the time interval Δ t of two continuous frames image can obtain the speed of trace particle
Figure A20051004893100077
v &RightArrow; = &Delta; s &RightArrow; &Delta;t - - - - ( 4 )
Particle is followed the tracks of the method for extracting particle speed and is based on the binary image related algorithm.At first isolated particle image being carried out binaryzation, is 1 in the particle internal pixel values, and the outside is 0, demarcates the centre coordinate that obtains particle by particle again.The purpose of binary image related algorithm is that identification first two field picture (the t moment) is gone up each particle is originally gone up appearance in second two field picture (t+ Δ t constantly) position.
The time interval Δ t that supposes the two continuous frames particle picture is maintained fixed and is enough short.Fig. 5 (a) and Fig. 5 (b) represent t and t+ Δ t particle picture constantly, { par respectively i(i=1 ..., be the center with reference particle I in the expression (a) N), R is the population in the pattern of radius, { par j(j=1 ..., be the center with candidate's particle J in the expression (b) M), R is the population in the recognition mode of radius.The related coefficient of pattern I and J is
C ij = &Integral; &Integral; f I ( x , y ) f J ( x + p , y + q ) dxdy &Integral; &Integral; f I 2 dxdy &Integral; &Integral; f J 2 dxdy - - - - ( 5 )
Wherein, f IAnd f JThe fundamental function of expression pattern I and J, p and q represent the centre distance of particle I and J respectively.With pattern I translation, make the center of particle I and J coincide, accompanying drawing 5 (c), then C IjFrom following formula, can get
C ij = &Sigma;Area ( par i &cap; par j ) &Sigma; i = 1 N Area ( par i ) &Sigma; j = 1 M Area ( par j ) - - - - ( 6 )
In the formula, Area represents area, Area (par i∩ par j) the coincidence area of particle among expression pattern I and the J.Calculate when overlapping area, all particles are assumed to be same radius r, this r is irrelevant with the size of true particle, just introduces in order to calculate related coefficient.An experimental formula
Figure A20051004893100082
(N wherein 0Be the total number of particles in the image, A 0Be image area) can be used for the selected of r.This experimental formula is verified in multiple measurement.
Calculate the related coefficient C of all candidate's particle J and particle I Ij, provide C IjMaximum candidate's particle is the particle that I will discern.Calculate particle I and matching interparticle moving displacement with it Then the movement velocity of particle is calculated by formula (4).
Fig. 6 shows one embodiment of the invention, and this example is each movement velocity mutually of measuring liquid and bubble in the biphase gas and liquid flow.In this example, a size is 100 * 100 * 1000mm 3The transparent organic glass container filled with water white silicone oil for 7 li, evenly having dispensed diameter in the silicone oil is that 75~150 μ m, density are 1010kg/m 3White many outages polymers particle.Nitrogen is evenly injected in the liquid from the tiny pin hole 9 of a row of container bottom, forms the flow of bubble that rises in liquid.The light beam of 4mW helium-neon laser 1 generation shines the flow field of taking through prism and cylindrical-lens-shaped into about the thick sheet light 8 in the 1mm left and right sides, note the image that the gas-liquid two-phase in the container flows with SonyDCR-VX1000 ccd video camera 4, the size of image is 640 * 480 pixels.Image imports computing machine 6 into by image pick-up card.Fig. 7 (a) is the original bubble and the image of particle, and this image obtains respectively as the particle of Fig. 7 (b) and 7 (c) and the image of bubble after particle-particle image separates the software separation.For the velocity field of two continuous frame particle pictures, promptly obtain the movement velocity of silicone oil with particle picture simple crosscorrelation software extraction trace particle; Follow the tracks of software for two continuous frame bubble diagram pictures with particle and obtain motion of air bubbles speed.The movement velocity vector of the two-phase flow that measures as shown in Figure 8.

Claims (6)

1, a kind of two-phase flow digital particle image speed measurement method is characterized in that, the step of method is as follows:
1) spreading trace particle in Two-Phase Flow Field, the motion of dense-phase fluid has been represented in the motion of trace particle;
2) laser beam sent of helium-neon laser is the planar chip light source by prism, cylindrical lens scattering, and the planar chip light source impinges perpendicularly on the plane, flow field of shooting by transparent window;
3) take the two-phase flow motion with the high-speed CCD video camera, obtain trace particle and dispersion particle, drop or motion of air bubbles image;
4) moving image that obtains is adopted image process method carry out separating of trace particle and dispersion particle, drop or bubble diagram picture, obtain the image and the trace particle image of particle, drop or bubble respectively;
5) the trace particle image is extracted the velocity field of trace particle with what improved based on the particle picture cross-correlation method of FFT; Image to particle, drop or bubble extracts individual particle, drop or motion of air bubbles speed with the particle tracking, realizes each synchro measure that flows mutually of fluid-particle, drop or bubble.
2, according to right 1 described a kind of two-phase flow digital particle image speed measurement method, it is characterized in that: describedly carry out trace particle and particle, drop or bubble separation: be to use the maximum between-cluster variance selected threshold, trace particle and particle, drop or bubble are separated from background with image process method; With morphologic caustic solution with trace particle and particle, drop or bubble separation of images.
3, according to right 1 described a kind of two-phase flow digital particle image speed measurement method, it is characterized in that: what described usefulness had been improved extracts the velocity field of trace particle based on FFT particle picture cross-correlation method: be in two query windows with simple crosscorrelation, second window is extended to the scope that the particle in first window can not be run out of through the Δ t time, Δ t is the two continuous frames image time interval, and turns right and down attached 0 continue to be extended to 2 power; First window is turned right and is down attached 0, is extended to and second window window of a size, and the velocity field of the trace particle of extraction has promptly been represented the velocity field of dense-phase fluid.
4, according to right 1 described a kind of two-phase flow digital particle image speed measurement method, it is characterized in that: describedly extract individual particle, drop or motion of air bubbles speed with the particle tracking: be to adopt the binary image correlation method, when the pattern of candidate's particle overlap with the pattern of reference particle area maximum be the particle that will discern.
5, a kind of two-phase flow digital particle image speed measurement device is characterized in that: it has helium-neon laser (1), prism (2), cylindrical lens (3), high-speed CCD video camera (4), image pick-up card (5), control and pattern process computer (6) successively.
6, according to right 5 described a kind of two-phase flow digital particle image speed measurement devices, it is characterized in that: the sheet optical plane that the optical axis of described high-speed CCD video camera (4) and helium-neon laser (1) produce is perpendicular.
CNB200510048931XA 2005-01-18 2005-01-18 Two-phase flow digital particle image speed measurement method and device Expired - Fee Related CN100348980C (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CNB200510048931XA CN100348980C (en) 2005-01-18 2005-01-18 Two-phase flow digital particle image speed measurement method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CNB200510048931XA CN100348980C (en) 2005-01-18 2005-01-18 Two-phase flow digital particle image speed measurement method and device

Publications (2)

Publication Number Publication Date
CN1654962A true CN1654962A (en) 2005-08-17
CN100348980C CN100348980C (en) 2007-11-14

Family

ID=34894492

Family Applications (1)

Application Number Title Priority Date Filing Date
CNB200510048931XA Expired - Fee Related CN100348980C (en) 2005-01-18 2005-01-18 Two-phase flow digital particle image speed measurement method and device

Country Status (1)

Country Link
CN (1) CN100348980C (en)

Cited By (38)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN100541204C (en) * 2006-08-11 2009-09-16 中国科学院力学研究所 A kind of measurement mechanism of fluid channel velocity distribution and measuring method
DE202010017218U1 (en) 2010-06-01 2010-06-09 Krones Ag, 93073 Device for checking the cleaning effect of a cleaning device
CN101603974B (en) * 2009-07-21 2010-09-29 浙江大学 Device and method for optical measurement for two-phase flow parameters of small-caliber pipeline
CN101852813A (en) * 2010-05-18 2010-10-06 河海大学 Device and method for measuring silt-settling velocity
CN102230943A (en) * 2011-04-08 2011-11-02 东南大学 Method for measuring particle movement speed in gas-solid two-phase flow
CN102313684A (en) * 2010-07-08 2012-01-11 中国科学院过程工程研究所 System and method for real-time measurement of gas-solid two-phase flow field
CN102393473A (en) * 2011-08-02 2012-03-28 南京理工大学 System for testing particle moving speed based on single image
CN101815950B (en) * 2007-07-06 2013-01-02 瑞典纸浆及纸张研究所 Device and method for measuring the velocity of a moving paper web
ES2396841A1 (en) * 2010-05-26 2013-02-28 Universidad De León System and method for the measurement of wind fields. (Machine-translation by Google Translate, not legally binding)
CN103047932A (en) * 2012-12-18 2013-04-17 中国矿业大学 Device and method for measuring size and movement speed of bubbles in concentrated phase gas-solid fluidized bed
CN103293333A (en) * 2013-05-10 2013-09-11 东南大学 Two-dimensional flow velocity field measurement method and device of interlaced scanning CCD (charge coupled device)
CN103308724A (en) * 2013-07-08 2013-09-18 南京昊控软件技术有限公司 Method for correcting dual-laser or multi-laser scanning time intervals
CN103605637A (en) * 2013-11-28 2014-02-26 华中科技大学 Particle image velocimetry vector estimation method for spatial resolution self-adaptation adjustment
CN103675333A (en) * 2013-12-08 2014-03-26 中国科学院过程工程研究所 Device and method for measuring micro-fluid velocity field in real time
CN103759921A (en) * 2014-01-26 2014-04-30 东南大学 Measuring device and method for two-phase flow system internal particle motion trajectory
CN104006944A (en) * 2014-06-03 2014-08-27 哈尔滨工程大学 High-temperature and high-pressure gas-liquid two-phase flow visualization system in interbank narrow space
CN104237109A (en) * 2014-07-02 2014-12-24 南京航空航天大学 Method and device for measuring deformation and breakage process characteristics of single liquid drop in airflow
CN104535112A (en) * 2014-12-29 2015-04-22 东南大学 Device and method for measuring parameters of non-spherical particles under gas-solid flow condition
CN104820112A (en) * 2015-04-24 2015-08-05 华南理工大学 Plant leaf vein flow velocity measurement device and method
CN105483830A (en) * 2015-11-30 2016-04-13 上海大学 Method and apparatus for measuring flow velocity of interdendritic fluid under convection condition
CN105759072A (en) * 2014-12-02 2016-07-13 财团法人工业技术研究院 Optical anemometry system
CN106706956A (en) * 2015-11-17 2017-05-24 清华大学 Device for recording air velocity field information and method thereof
CN106814012A (en) * 2017-03-03 2017-06-09 重庆大学 The device of fluid convection unstable phenomenon in drop is evaporated on a kind of observation substrate
CN106918717A (en) * 2017-03-22 2017-07-04 北京尚水信息技术股份有限公司 The method processed two phase flow flow field using captured image
CN107505323A (en) * 2017-09-30 2017-12-22 中交天津港航勘察设计研究院有限公司 A kind of Solid-fluid Two-phase Flow observation system
CN107705318A (en) * 2017-08-22 2018-02-16 哈尔滨工程大学 A kind of turbulent boundary lamellar field speed-measuring method based on border tracer
CN108332940A (en) * 2018-02-09 2018-07-27 青岛科技大学 A kind of two phase flow rises bubble fluid FLOW VISUALIZATION experimental method and experimental provision
CN108896106A (en) * 2018-03-30 2018-11-27 北京理工大学 A kind of list bubble collapse and more field measurement platforms of material boundary coupled characteristic
CN110132531A (en) * 2019-04-18 2019-08-16 浙江大学 A method of for turbine draft tube interior flow field particle image velocimetry
CN110231068A (en) * 2019-07-09 2019-09-13 北京大学 The method for identifying gas-liquid interface position
CN110879300A (en) * 2019-10-11 2020-03-13 中国航发沈阳发动机研究所 Method and system for measuring velocity of flowing particles
CN110879301A (en) * 2019-10-11 2020-03-13 中国航发沈阳发动机研究所 Method and system for simultaneously measuring two-dimensional distribution of liquid concentration and liquid movement
CN111521366A (en) * 2020-05-08 2020-08-11 上海机电工程研究所 Flow display device applied to trailing vortex of control surface of supersonic rotary aircraft
CN111693729A (en) * 2020-06-28 2020-09-22 中国科学院力学研究所 Particle image velocity measurement method and device based on global optimization
CN112345791A (en) * 2020-10-29 2021-02-09 中国空气动力研究与发展中心高速空气动力研究所 Fluidized bed internal flow field velocity measurement method based on magnetic particle tracking
CN112604624A (en) * 2020-11-16 2021-04-06 湖北第二师范学院 External circulation ammonification reaction experimental equipment and method for analyzing factors influencing external circulation ammonification reaction by using same
CN113311186A (en) * 2021-05-24 2021-08-27 苏州西热节能环保技术有限公司 Method for accurately predicting flue gas flow field based on PIV and PDPA
CN117214050A (en) * 2023-08-18 2023-12-12 河北大学 Metering device and metering method for liquid-solid two-phase flow velocity distribution

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101738489B (en) * 2009-12-16 2012-01-11 清华大学深圳研究生院 Method for measuring transverse flow speed of scattering fluid
CN102680203A (en) * 2012-05-09 2012-09-19 浙江大学 Micro-channel gas-liquid two-phase flow voidage measuring device and method
CN108593958B (en) * 2017-12-15 2019-12-10 北京航空航天大学 Method and device for synchronously acquiring gas-solid two-phase flow velocity field

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2090535U (en) * 1990-06-26 1991-12-11 天津大学 Laser pulse counting type flow velocity measuring system
JP3672482B2 (en) * 2000-07-07 2005-07-20 東京電力株式会社 Fluid flow measurement method
TW466346B (en) * 2001-03-05 2001-12-01 Nat Science Council A low-cost continuous-wave-laser (CW laser) digital particle image velocimetry
CN1234002C (en) * 2001-12-21 2005-12-28 中国科学技术大学 Aspiration type laser image smoke sensing fire hazard detecting method and device
CN1252451C (en) * 2002-06-05 2006-04-19 中国科学技术大学 Particle field total-field measurement process and apparatus based on laser sheet optical image-forming

Cited By (52)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN100541204C (en) * 2006-08-11 2009-09-16 中国科学院力学研究所 A kind of measurement mechanism of fluid channel velocity distribution and measuring method
CN101815950B (en) * 2007-07-06 2013-01-02 瑞典纸浆及纸张研究所 Device and method for measuring the velocity of a moving paper web
CN101603974B (en) * 2009-07-21 2010-09-29 浙江大学 Device and method for optical measurement for two-phase flow parameters of small-caliber pipeline
CN101852813A (en) * 2010-05-18 2010-10-06 河海大学 Device and method for measuring silt-settling velocity
CN101852813B (en) * 2010-05-18 2013-04-10 河海大学 Device and method for measuring silt-settling velocity
ES2396841A1 (en) * 2010-05-26 2013-02-28 Universidad De León System and method for the measurement of wind fields. (Machine-translation by Google Translate, not legally binding)
DE102010029576A1 (en) 2010-06-01 2011-12-01 Krones Ag Apparatus and method for checking the cleaning effect of a cleaning device
DE202010017218U1 (en) 2010-06-01 2010-06-09 Krones Ag, 93073 Device for checking the cleaning effect of a cleaning device
EP2392906A1 (en) 2010-06-01 2011-12-07 Krones AG Method and device for checking the effectiveness of a cleaning device
CN102313684A (en) * 2010-07-08 2012-01-11 中国科学院过程工程研究所 System and method for real-time measurement of gas-solid two-phase flow field
CN102313684B (en) * 2010-07-08 2013-07-10 中国科学院过程工程研究所 System and method for real-time measurement of gas-solid two-phase flow field
CN102230943A (en) * 2011-04-08 2011-11-02 东南大学 Method for measuring particle movement speed in gas-solid two-phase flow
CN102393473A (en) * 2011-08-02 2012-03-28 南京理工大学 System for testing particle moving speed based on single image
CN103047932A (en) * 2012-12-18 2013-04-17 中国矿业大学 Device and method for measuring size and movement speed of bubbles in concentrated phase gas-solid fluidized bed
CN103293333A (en) * 2013-05-10 2013-09-11 东南大学 Two-dimensional flow velocity field measurement method and device of interlaced scanning CCD (charge coupled device)
CN103308724B (en) * 2013-07-08 2015-01-07 南京昊控软件技术有限公司 Method for correcting dual-laser or multi-laser scanning time intervals
CN103308724A (en) * 2013-07-08 2013-09-18 南京昊控软件技术有限公司 Method for correcting dual-laser or multi-laser scanning time intervals
CN103605637A (en) * 2013-11-28 2014-02-26 华中科技大学 Particle image velocimetry vector estimation method for spatial resolution self-adaptation adjustment
CN103605637B (en) * 2013-11-28 2017-02-08 华中科技大学 Particle image velocimetry vector estimation method for spatial resolution self-adaptation adjustment
CN103675333A (en) * 2013-12-08 2014-03-26 中国科学院过程工程研究所 Device and method for measuring micro-fluid velocity field in real time
CN103759921B (en) * 2014-01-26 2016-08-17 东南大学 The measurement apparatus of two-phase flow system Kinematic Locus and measuring method
CN103759921A (en) * 2014-01-26 2014-04-30 东南大学 Measuring device and method for two-phase flow system internal particle motion trajectory
CN104006944A (en) * 2014-06-03 2014-08-27 哈尔滨工程大学 High-temperature and high-pressure gas-liquid two-phase flow visualization system in interbank narrow space
CN104237109A (en) * 2014-07-02 2014-12-24 南京航空航天大学 Method and device for measuring deformation and breakage process characteristics of single liquid drop in airflow
CN104237109B (en) * 2014-07-02 2017-04-19 南京航空航天大学 Method and device for measuring deformation and breakage process characteristics of single liquid drop in airflow
CN105759072B (en) * 2014-12-02 2020-04-14 财团法人工业技术研究院 Optical anemometry system
CN105759072A (en) * 2014-12-02 2016-07-13 财团法人工业技术研究院 Optical anemometry system
CN104535112A (en) * 2014-12-29 2015-04-22 东南大学 Device and method for measuring parameters of non-spherical particles under gas-solid flow condition
CN104820112A (en) * 2015-04-24 2015-08-05 华南理工大学 Plant leaf vein flow velocity measurement device and method
CN104820112B (en) * 2015-04-24 2018-01-05 华南理工大学 A kind of device and method of plant leaf vein flow velocity measurement
CN106706956A (en) * 2015-11-17 2017-05-24 清华大学 Device for recording air velocity field information and method thereof
CN106706956B (en) * 2015-11-17 2023-08-25 清华大学 Device and method for recording air speed field information
CN105483830A (en) * 2015-11-30 2016-04-13 上海大学 Method and apparatus for measuring flow velocity of interdendritic fluid under convection condition
CN106814012A (en) * 2017-03-03 2017-06-09 重庆大学 The device of fluid convection unstable phenomenon in drop is evaporated on a kind of observation substrate
CN106918717A (en) * 2017-03-22 2017-07-04 北京尚水信息技术股份有限公司 The method processed two phase flow flow field using captured image
CN107705318A (en) * 2017-08-22 2018-02-16 哈尔滨工程大学 A kind of turbulent boundary lamellar field speed-measuring method based on border tracer
CN107505323A (en) * 2017-09-30 2017-12-22 中交天津港航勘察设计研究院有限公司 A kind of Solid-fluid Two-phase Flow observation system
CN108332940B (en) * 2018-02-09 2019-09-20 青岛科技大学 A kind of two phase flow rises bubble fluid FLOW VISUALIZATION experimental method and experimental provision
CN108332940A (en) * 2018-02-09 2018-07-27 青岛科技大学 A kind of two phase flow rises bubble fluid FLOW VISUALIZATION experimental method and experimental provision
CN108896106A (en) * 2018-03-30 2018-11-27 北京理工大学 A kind of list bubble collapse and more field measurement platforms of material boundary coupled characteristic
CN110132531A (en) * 2019-04-18 2019-08-16 浙江大学 A method of for turbine draft tube interior flow field particle image velocimetry
CN110231068A (en) * 2019-07-09 2019-09-13 北京大学 The method for identifying gas-liquid interface position
CN110879301A (en) * 2019-10-11 2020-03-13 中国航发沈阳发动机研究所 Method and system for simultaneously measuring two-dimensional distribution of liquid concentration and liquid movement
CN110879300A (en) * 2019-10-11 2020-03-13 中国航发沈阳发动机研究所 Method and system for measuring velocity of flowing particles
CN111521366A (en) * 2020-05-08 2020-08-11 上海机电工程研究所 Flow display device applied to trailing vortex of control surface of supersonic rotary aircraft
CN111693729A (en) * 2020-06-28 2020-09-22 中国科学院力学研究所 Particle image velocity measurement method and device based on global optimization
CN112345791A (en) * 2020-10-29 2021-02-09 中国空气动力研究与发展中心高速空气动力研究所 Fluidized bed internal flow field velocity measurement method based on magnetic particle tracking
CN112604624A (en) * 2020-11-16 2021-04-06 湖北第二师范学院 External circulation ammonification reaction experimental equipment and method for analyzing factors influencing external circulation ammonification reaction by using same
CN113311186A (en) * 2021-05-24 2021-08-27 苏州西热节能环保技术有限公司 Method for accurately predicting flue gas flow field based on PIV and PDPA
CN113311186B (en) * 2021-05-24 2023-10-17 苏州西热节能环保技术有限公司 Method for accurately predicting flue gas flow field based on PIV and PDPA
CN117214050A (en) * 2023-08-18 2023-12-12 河北大学 Metering device and metering method for liquid-solid two-phase flow velocity distribution
CN117214050B (en) * 2023-08-18 2024-05-24 河北大学 Metering device and metering method for liquid-solid two-phase flow velocity distribution

Also Published As

Publication number Publication date
CN100348980C (en) 2007-11-14

Similar Documents

Publication Publication Date Title
CN1654962A (en) Two-phase flow digital particle image speed measurement method and device
CN108760234B (en) Method and device for synchronously testing fluid flow and solid motion information based on PIV (particle image velocimetry) and PTV (particle beam velocimetry) technologies
Hassan et al. Simultaneous velocity measurements of both components of a two-phase flow using particle image velocimetry
Guezennec et al. Algorithms for fully automated three-dimensional particle tracking velocimetry
Liu et al. High resolution measurement of turbulent structure in a channel with particle image velocimetry
Okamoto et al. Evaluation of the 3D-PIV standard images (PIV-STD project)
Weitbrecht et al. Large scale PIV-measurements at the surface of shallow water flows
CN103645341B (en) The visual speed-measuring method of whole flow field 3D
CN102435411A (en) Full field measuring system and method of reynolds stress of compressible turbulent flow
Grant et al. Directional ambiguity resolution in particle image velocimetry by pulse tagging
Mathai et al. Translational and rotational dynamics of a large buoyant sphere in turbulence
US7054768B2 (en) Method and system for shear flow profiling
Reeves et al. A high-speed all-digital technique for cycle-resolved 2-D flow measurement and flow visualisation within SI engine cylinders
Hao et al. Review on multi-parameter simultaneous measurement techniques for multiphase flow-Part B: basic physical parameters and phase characteristics
Shi et al. Air–water properties of unsteady breaking bores part 1: Novel Eulerian and Lagrangian velocity measurements using intrusive and non-intrusive techniques
Hassanzadeh et al. Neutrally buoyant miscible jets into viscoplastic ambient fluids
Tang et al. An improved PTV system for large-scale physical river model
Jing et al. Measurements of velocity field and diameter distribution of particles in multiphase flow based on trajectory imaging
Camp et al. The measurement of square channel velocity profiles using a microcomputer-based image analysis system
Li et al. Particle image velocimetry techniques and its applications in multiphase systems
JP6357990B2 (en) How to measure flow velocity and object displacement at once
Willert et al. Dynamic Wall Shear Stress Measurement using Event-based 3D Particle Tracking
CN111665016A (en) River course bubble-vortex structure recognition tracking method and navigation early warning method
Feng et al. Application of particle streak velocimetry based on binocular vision in cascade flow channel
Abdulmouti et al. The technique of PIV and its applications

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
C19 Lapse of patent right due to non-payment of the annual fee
CF01 Termination of patent right due to non-payment of annual fee