Application of Particle Image Velocimetry PIV for flow

  • Slides: 24
Download presentation
Application of Particle Image Velocimetry (PIV) for flow pattern characterization

Application of Particle Image Velocimetry (PIV) for flow pattern characterization

Typical Experimental setup Apparatus includes: CCD camera, Laser, light sheet, mirror, lenses, synchronizer, computer,

Typical Experimental setup Apparatus includes: CCD camera, Laser, light sheet, mirror, lenses, synchronizer, computer, flow column, seeding particles

Use of seeding particles • TYPICAL SIZE RANGE: 10 – 100 MM • ACTS

Use of seeding particles • TYPICAL SIZE RANGE: 10 – 100 MM • ACTS AS TRACER PARTICLES TO OBSERVE FLUID FLOW • DENSITY AS CLOSE TO THE WORKING FLUID SUCH AS WATER • SMALL ENOUGH TO FOLLOW THE FLUID MOTION • BIG ENOUGH TO BE CAPTURED BY CCD CAMERA • GOOD REFLECTIVITY • CHEMICALLY INERT / DOES NOT DISSOLVE IN FLUID

Image captured by CCD camera

Image captured by CCD camera

Advantages of PIV • High degree of accuracy • Entire velocity field can be

Advantages of PIV • High degree of accuracy • Entire velocity field can be calculated • Capable of measuring velocity in 3 dimensions Disadvantages of PIV • Seeding particles have to be carefully selected • Size of flow structures limited by image resolution • Costly

Dynamics of Particulate Systems

Dynamics of Particulate Systems

Measurement Techniques • Electrical Capacitance Tomography (ECT) – Velocity (Twin Plane) – Concentration •

Measurement Techniques • Electrical Capacitance Tomography (ECT) – Velocity (Twin Plane) – Concentration • Particle Image Velocimetry (PIV) – Velocity • Phase Doppler Particle Analyzer (PDPA) – Number density

Single Plane ECT System Components Capacitance Measurement Data Acquisition Unit Multiplexing Circuit Electrode Insulating

Single Plane ECT System Components Capacitance Measurement Data Acquisition Unit Multiplexing Circuit Electrode Insulating Pipe Capacitance To Voltage Transfer A/D Converter Control Signals Data Post Processing Image Reconstruction Algorithm

Single Plane ECT System • Mechanism – Measures capacitance of 12 electrodes – Obtains

Single Plane ECT System • Mechanism – Measures capacitance of 12 electrodes – Obtains 66 capacitance values – Utilizes distribution of permeability to obtain porosity – Solves for solid concentration

Twin Plane ECT System Signal Delay (D) U = L /D Cross Correlation Plane

Twin Plane ECT System Signal Delay (D) U = L /D Cross Correlation Plane 1 V Plane 2

Twin Plane ECT System • Mechanism – Measures particulate concentration profiles at two axially-separated

Twin Plane ECT System • Mechanism – Measures particulate concentration profiles at two axially-separated locations – Obtains velocity profile via correlation techniques – Obtains overall flow rate via integration of product of both concentration and velocity profiles – Obtains the volumetric flow of the particulates via second integration over a period of time

PIV System (1) Synchronizer (2) Computer (3) Laser generator (4) CCD camera (5) Vessel

PIV System (1) Synchronizer (2) Computer (3) Laser generator (4) CCD camera (5) Vessel (6) Vibrator (7) Function generator (8) Power amplifier

PIV System • Mechanism – Measures instantaneous global velocity in a flowing fluid –

PIV System • Mechanism – Measures instantaneous global velocity in a flowing fluid – CCD camera takes pictures – Displacement/Time = Velocity

Stability Analysis

Stability Analysis

Perturbation Form Perturbations: Where: And:

Perturbation Form Perturbations: Where: And:

 • Ωr is > 0 (positive): amplitude of disturbance increases with time •

• Ωr is > 0 (positive): amplitude of disturbance increases with time • Ωr is < 0 (negative): amplitude of disturbance decays with time • Ωr is positive: unstable mode • If you introduce a small disturbance, integrate forward with time, the variable will move away from steady state • Ωr is negative: stable mode

Stability Diagram (+ve Eigen value) (-ve Eigen value)

Stability Diagram (+ve Eigen value) (-ve Eigen value)

Electrostatic Characterization 5: MPCT / ECT 6: Induced current measurement 7: Faraday Cage

Electrostatic Characterization 5: MPCT / ECT 6: Induced current measurement 7: Faraday Cage

Types of flow • Disperse flow (highest u) • Half Ring flow • Ring

Types of flow • Disperse flow (highest u) • Half Ring flow • Ring flow (lowest u)

Summary • Air flow rate - lower air flow rate, higher induced current and

Summary • Air flow rate - lower air flow rate, higher induced current and particle charge density • Time – Charge accumulation for pipewall and individual particle increases with time for all types of flow. Leads to clustering of particles even in case of disperse flow. • Composition – Antistatic agent, Lacrostat 519 powder can reduce electrostatic effect. • Tribroelectrification – strong force effect created on walls when particles slide on pipe wall.

Discrete element method (DEM) A numerical method for computing the motion and effect of

Discrete element method (DEM) A numerical method for computing the motion and effect of a large number of small particles in a pipe by using computational fluid dynamics. Outline of the method A DEM-simulation is started selecting a model and setting an initial gas velocity. The forces which act on each particle are computed from the initial data, relevant physical laws and contact models. The change in the position and the velocity of each particle during a certain time step can be computed from Newton's laws of motion.

Models • Force Displacement Model • Fluid Drag Force Model

Models • Force Displacement Model • Fluid Drag Force Model

Types of flows • Vertical pneumatic conveying – Dispersed flow – Plug flow •

Types of flows • Vertical pneumatic conveying – Dispersed flow – Plug flow • Horizontal pneumatic conveying – Stratified Flow – Moving dunes – Slug Flow – Homogeneous Flow For different types of flow and gas velocity, the solid flow rate profile and the solid concentration profile can be determined from the data and graph.

Thank you

Thank you