Particle Image Velocimetry Demo Outline (For reference) ‏ Topic NumberTopic NamePage Type 1Flow of PIVAnimated page.

Slides:



Advertisements
Similar presentations
1 Imaging Techniques for Flow and Motion Measurement Lecture 11 Lichuan Gui University of Mississippi 2011 Interrogation Window Shift.
Advertisements

S. Ghosh, M. Muste, M. Marquardt, F. Stern
Kevin Kelly Mentor: Peter Revesz.  Importance of Project: Beam stability is crucial in CHESS, down to micron-level precision  The beam position is measured.
Particle Image Velocimetry
Measurements in Fluid Mechanics 058:180:001 (ME:5180:0001) Time & Location: 2:30P - 3:20P MWF 218 MLH Office Hours: 4:00P – 5:00P MWF 223B-5 HL Instructor:
Wind Tunnel Testing of a Generic Telescope Enclosure
Introduction to Particle Image Velocimetry (PIV)
Monroe L. Weber-Shirk S chool of Civil and Environmental Engineering Closed Conduit Measurement Techniques  Pipeline systems  Transmission lines  Pipe.
MAE513 Spring 2001 Prof. Hui Meng & Dr. David Song Dept. of Mechanical & Aerospace Engineering Advanced Diagnostics for Thermo- Fluids Laser Flow Diagnostics.
Laser Anemometry P M V Subbarao Professor Mechanical Engineering Department Creation of A Picture of Complex Turbulent Flows…..
1 Imaging Techniques for Flow and Motion Measurement Lecture 6 Lichuan Gui University of Mississippi 2011 PIV Recording Evaluation.
Imaging Techniques for Flow and Motion Measurement Lecture 13 Lichuan Gui University of Mississippi 2011 Central Difference Interrogation.
LAGRANGIAN PARTICLE TRACKING IN ISOTROPIC TURBULENT FLOW VIA HOLOGRAPHIC AND INTENSITY BASED STEREOSCOPY By Kamran Arjomand.
Motion Tracking. Image Processing and Computer Vision: 82 Introduction Finding how objects have moved in an image sequence Movement in space Movement.
Micro PIV  An optical diagnostic technique for microfluidics (e.g. MEMS, biological tissues, inkjet printer head) Requirements: Measure instantaneously.
Computing motion between images
3D Measurements by PIV  PIV is 2D measurement 2 velocity components: out-of-plane velocity is lost; 2D plane: unable to get velocity in a 3D volume. 
Particle Image Velocimeter
Fundamentals of Digital PIV Partially in reference to J. Westerweel ‘s presentation.
3D Rigid/Nonrigid RegistrationRegistration 1)Known features, correspondences, transformation model – feature basedfeature based 2)Specific motion type,
1 Debris flow velocity estimation: A comparison between gradient- based method and cross- correlation method Image Processing: Algorithms and Systems (Proceedings.
Monroe L. Weber-Shirk S chool of Civil and Environmental Engineering Closed Conduit Measurement Techniques ä Pipeline systems ä pipe networks ä measurements.
© 2009, TSI Incorporated Stereoscopic Particle Image Velocimetry.
Stereoscopic PIV.
© 2010, TSI Incorporated Time Resolved PIV Systems.
1 Imaging Techniques for Flow and Motion Measurement Lecture 7 Lichuan Gui University of Mississippi 2011 Correlation Interrogation & FFT Acceleration.
Lyes KADEM, Ph.D; Eng Particle Image Velocimetry for Fluid Dynamics Measurements Laboratory for Cardiovascular Fluid Dynamics MIE.
Investigation of wall-bounded turbulence over sparsely distributed roughness M. Placidi, B. Ganapathisubramani and M. Tan Faculty of Engineering and the.
Week 10: Imaging Flow Around a Radio Controlled Race Car
Volumetric 3-Component Velocimetry (V3V)
Particle Image Velocimetry (PIV) Introduction
1 Imaging Techniques for Flow and Motion Measurement Lecture 5 Lichuan Gui University of Mississippi 2011 Imaging & Recording Techniques.
Direct Measurement of Particle Behavior in the Particle-Lagrangian Reference Frame of a Turbulent Flow James A. Bickford M.S.M.E. Defense 10 August 1999.
Measurements in Fluid Mechanics 058:180:001 (ME:5180:0001) Time & Location: 2:30P - 3:20P MWF 218 MLH Office Hours: 4:00P – 5:00P MWF 223B-5 HL Instructor:
Introduction to Laser Doppler Velocimetry
Particle Image Velocimetry 2 and Particle Tracking Velocimetry
Integral University EC-024 Digital Image Processing.
Shape from Stereo  Disparity between two images  Photogrammetry  Finding Corresponding Points Correlation based methods Feature based methods.
Display of Motion & Doppler Ultrasound
Measurements in Fluid Mechanics 058:180:001 (ME:5180:0001) Time & Location: 2:30P - 3:20P MWF 218 MLH Office Hours: 4:00P – 5:00P MWF 223B-5 HL Instructor:
Measurements in Fluid Mechanics 058:180 (ME:5180) Time & Location: 2:30P - 3:20P MWF 3315 SC Office Hours: 4:00P – 5:00P MWF 223B-5 HL Instructor: Lichuan.
Engineering Engineer -> μηχανικος Engineering ?-> μηχανικη ?? (College of Engineering -> ???) Engineers create: -design and build machines, structures.
Measurements in Fluid Mechanics 058:180 (ME:5180) Time & Location: 2:30P - 3:20P MWF 3315 SC Office Hours: 4:00P – 5:00P MWF 223B-5 HL Instructor: Lichuan.
December 9, 2014Computer Vision Lecture 23: Motion Analysis 1 Now we will talk about… Motion Analysis.
: Chapter 11: Three Dimensional Image Processing 1 Montri Karnjanadecha ac.th/~montri Image.
What Is PIV ? J. Westerweel Delft University of Technology The Netherlands.
© 2010, TSI Incorporated Global Sizing Velocimetry (GSV)
1 Imaging Techniques for Flow and Motion Measurement Lecture 15 Lichuan Gui University of Mississippi 2011 Multi-phase Flow PIV Techniques.
1 Imaging Techniques for Flow and Motion Measurement Lecture 19 Lichuan Gui University of Mississippi 2011 Stereoscopic Particle Image Velocimetry (SPIV)
Measurements in Fluid Mechanics 058:180:001 (ME:5180:0001) Time & Location: 2:30P - 3:20P MWF 218 MLH Office Hours: 4:00P – 5:00P MWF 223B-5 HL Instructor:
Elementary Mechanics of Fluids Lab # 3 FLOW VISUALIZATION.
Measurements in Fluid Mechanics 058:180:001 (ME:5180:0001) Time & Location: 2:30P - 3:20P MWF 218 MLH Office Hours: 4:00P – 5:00P MWF 223B-5 HL Instructor:
Dynamics of Particulate Systems
Objects localization and recognition
1 Imaging Techniques for Flow and Motion Measurement Lecture 10 Lichuan Gui University of Mississippi 2011 Direct Correlation & MQD Method.
Ben Falconer. Background A bit about me Ben Falconer Came to Warwick 2006 Computer and Information engineering MEng project Project based around PIV Current.
Imaging Techniques for Flow and Motion Measurement Lecture 14 Lichuan Gui University of Mississippi 2011 Central Difference Image Correction.
MODERN FLUID FLOW MEASURING INSTRUMENT
Measurements in Fluid Mechanics 058:180:001 (ME:5180:0001) Time & Location: 2:30P - 3:20P MWF 218 MLH Office Hours: 4:00P – 5:00P MWF 223B-5 HL Instructor:
Presented to: International Aircraft Materials Fire Test Working Group By: Robert Ochs Date: Wednesday, October 21, 2009 Federal Aviation Administration.
CN3124E – Particle Technology
: Chapter 11: Three Dimensional Image Processing
Investigation of Flow in a Model of Human Respiratory Tract
Reconstruction For Rendering distribution Effect
S. Ghosh, M. Muste, M. Marquardt, F. Stern
Range Imaging Through Triangulation
Measurement of Flow Velocity
Elementary Mechanics of Fluids Lab # 3 FLOW VISUALIZATION
On the Quantification of Cellular Velocity Fields
Elementary Mechanics of Fluids Lab # 3 FLOW VISUALIZATION
Presentation transcript:

Particle Image Velocimetry Demo Outline (For reference) ‏ Topic NumberTopic NamePage Type 1Flow of PIVAnimated page

Particle Image Velocimetry The Particle Imaging Velocimetry (PIV) is a quantitative velocity measurement technique, with visualizing the flow field by small tracer particles and with analyzing the visualized digital images. In this topic discusses about Direction of fluid flow, direction of light travel and randomly selected image patterns. Particle Image Velocimetry

START Laser Lasers are predominant due to their ability to produce high-power light beams with short pulse durations. This yields short exposure times for each frame. Click START. Flow of Particle Image Velocimetry

Particle Image Velocimetry START Optical Equipment The optics consist of a spherical lens and cylindrical lens combination. The cylindrical lens expands the laser into a plane while the spherical lens compresses the plane into a thin sheet. Click START. Flow of Particle Image Velocimetry

Particle Image Velocimetry START Seeding The seeding particles are an inherently critical and reflective component of the PIV system. So that the laser sheet incident on the fluid flow will reflect off of the particles and be scattered towards the camera. Click START. Flow of Particle Image Velocimetry

Particle Image Velocimetry START Camera To perform PIV analysis on the flow, two exposures of laser light are required upon the camera from the flow. Click START. Flow of Particle Image Velocimetry

Particle Image Velocimetry PIV overview

Particle Image Velocimetry To compute particle displacements, the image plane is divided into several small disjoint or overlapping interrogation windows and corresponding window pairs in consecutive recordings are cross correlated. The spatial displacements that produces the maximum cross-correlation statistically approximates the average displacement of the particle in interrogation region. This displacement divided by the time between the lazer pulses, yields the velocity that is associated with each interrogation area. The cross corelation function for two discretely sampled interrogation windows is defined by :

Particle Image Velocimetry With f i,j and g i,j indicating image density distribution of the first and second image M and n are pixel offset distances between the two images. C f,g (m,n) is the Two dimensional cross corelation function. Given the size of the interrogation area is M, then O(M 4 ) operations have to be computed. The cross corelation between the two image pairs are normalized to prevent false correlation peaks arising from changes in the search area local means. To remove additive local bias differences and other noises the mean is removed from both interrogation windows and each correlation sample is divided by

Particle Image Velocimetry Where μ F and μ G are the means of the first and second interrogation windows. The wienier khinchin thoerm states that cross corelation between f*g between the two signals can be computed in the frequency domain as Where F f, and F* g are fourier transform of first interrogation window and complex conjugate of fourier transform of second interrogation window. F -1 represent inverse fourier transform. The overall complexity of the system now reduces to O[M 2 ln(M)] operations.

Particle Image Velocimetry In signal processing, cross-correlation is a measure of similarity of two waveforms as a function of a time-lag applied to one of them. This is also known as a sliding dot product or inner-product. Cross correlation of Images Click the Quiz button Particle Image field-1 Particle Image field-2 Displacemen t vector

Particle Image Velocimetry

Errors in PIV Random Errors : Wich occur due to noise in the recoreded images Bias errors: Arising from the process of computing signal peak location to sub pixel accuracy. Gradient Error: arising due to rotation and deformation of flow within an interrogation spot leading to loss of correlation. Tracking errors :Arising due to Inability of the particle to follow the flowwithout slip. Accelerating Errors:occuring caused due to approximating the local eulerian velocity from the lagrangian motion of the tracer particles

Particle Image Velocimetry Which of these is/are used as seeding material ? Glass particles PVC Mica Fluid itself Particle Image Velocimetry

The PIV technique provides ________ ? Measurement of average velocity with high accuracy Measurement of Instantaneous velocity with high accuracy Measurement of instantaneous velocity with low accuracy. Measurement of overall velocity with low accuracy. Particle Image Velocimetry

The order of time difference between two image snaps by the CCD Camera is? 1 second 1 millisecond 1 Microsecond 1 nanosecond Particle Image Velocimetry

Which controls time between first Image & Second image? Laser Synchronizer Seeding material all Particle Image Velocimetry

The velocity of fluid can be measured accurately by ? o o Flow meter o Venturimeter o Prandtl pitot tube o Particle Image velocimetry

Particle Image Velocimetry ci_2000.pdf