SOFTWARE

KRYTEN PIV Systems

powered by Microvec

Particle Image Velocimetry (PIV) is an optical method used for flow visualization in fluids. Small particles are mixed into the fluid which is then illuminated, allowing a camera system to produce images of the tracing particles.

The images are then processed to measure the velocity within the flow. Further processing provides flow vertices, iso-speed lines, streamlines, and flow field parameters distribution. The system usually consists of a CCD or CMOS camera, a strong laser, and a synchronizer that provides triggering for the camera and laser. A powerful software by Microvec is used for the calculations.

Microvec PIV software, developed for over 20 years, features advanced algorithms and techniques for high-precision analysis:

Cross correlation with FFT and IFFT
Sub-pixel precision fitting
Bias vector detection and correction
Window deformation iterative multi-grid
Multi-zone data stitching
Particle Tracking Velocimetry (PTV) with blob analysis
Temperature and concentration analysis in fluids
Dynamic masking
Kinetic energy and Reynolds stress
Multi-core parallel processing
Uncertainty quantification
GPU acceleration
Flexible methods for image pre-processing
New AI PIV based on Neural Networks

KRYTEN PIV Systems

Advanced single camera system for demanding fluid dynamics applications. Scale of experiments from micrometers up to 1 meter field with velocities ranging from few mm/sec up to 7 Mach speeds with an ability to observe flow in flames.

Standard Components:

CCD camera with a lens and a frame grabber
PIV Laser
Synchronizer (8 channel TTL control)
MicroVec 2D PIV Software
MicroVec PIV Image Capture Module

Applications:

Wind/Water tunnels
Aerospace/Aeronautics
Compressors, Turbines, Fans, Pumps, Sprays
Deformation and Stress analysis
Heat Exchange

Image: 2D PIV on the nose of an aircraft in a wind tunnel

The Stereo PIV system is based on 2D PIV but adapts principles of stereoscopic imaging to enable computation in the third dimension. At least one set of two synchronized cameras view the object from different angles, producing two sets of 2D velocity vector components. The third velocity component is derived within the test from the two data sets. The images must be calibrated to enable evaluation of the Z velocity component.

Standard Components:

2x CCD camera with a lens and a frame grabber
PIV Laser
Synchronizer (8 channel TTL control)
MicroVec 3D PIV Software
MicroVec PIV Image Capture Module
Patented Scheimpflug Adapter or Tilt/Shift lenses
3D PIV Calibration Kit

Applications:

Wind/Water tunnels
Aerospace/Aeronautics
Compressors, Turbines, Fans, Pumps, Sprays
3D Vortex Flow
Microelectromechanical Systems (MEMS)

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Image: 3D PIV in automotive wind tunnel

AI PIV is a new innovative technology from Microvec. With the latest advances in deep learning techniques based on neural networks in the machine vision field, PIV methods based on deep learning have proved to be very accurate. Our PIV is based on the optical flow neural network proven in the computer vision community. It has been successfully applied in fluid mechanics and particle image velocimetry where global and quantitative velocity field can be evaluated with computational efficiency with no loss of accuracy.

Advantages:

❖ Faster computation time compared to traditional PIV methods (almost real-time computation)
❖ The accuracy extends to maximum single-pixel calculations, where it is one order of magnitude higher than cross correlation evaluations
❖ Dense vector fields obtained faster
❖ Not necessary to use all currently used post-processing techniques
❖ Easy to use

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Image: Cross-correlation PIV result + detailed view of jet flow

  • PIV PIV
 
 
 
 
Image: AIV PIV result + detailed view of jet flow
 
The example demonstrates that there is no significant difference between the results while the AI PIV result contains more detailed information, ultimately creating a smoother amplitude field.

Tomographic PIV is a volumetric velocimetry technique which makes use of imaging sections of the measurement volume. Then, the images of tracing particles are reconstructed in the sections of the measurement volume and volume correlation takes place. Full velocity and velocity gradient tensor fields can be evaluated, which provides valuable quantitative information on complex three-dimensional flows like turbulent flow, 3D vortex flows. Our PIV offers 4 different algorithms for evaluating tomographic PIV including patented Intensity Enhanced MART.

Standard setup:

PIV

Image: Standard setup

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Image: Flow past a hemisphere immersed in a laminar boundary layer.
 

Basic microscopic PIV system that is easy to operate and integrate, designed for research centers and universities. Works with small fields (from 1 to 200 mm) with a spatial resolution of a micron and a flow speed of up to 0.3 m/s. It may also be used to acquire high-speed images of over 100 frames per second. The system uses macro lenses or integrates directly with a microscope.

Standard Components:

Mini DPSS laser
Double pulse PIV lasers
CCD cameras (VGA to 9 MP)
Synchronizer
MicroVec PIV Image Capture Module
MicroVec 2D PIV Software
Macro lenses or microscope
Laser light guiding arm or fibre optic liquid light guide
Adapters to connect microscope and lasers

Applications:

Microfluidic Devices
Nozzles/Liquid Jets
Microscale deformations and Strains
Particle analysis
Micro Channels

PIV

Image: Flow characterization in 200 micrometer microchannel model

Calculating pressure accurately using Particle Image Velocimetry (PIV) has been a goal for researchers for some time. A non-intrusive, high resolution technique could bring a scientific breakthrough and replace pressure transducers with low spatial resolution.

An increasing number of papers has been published on this topic over the last years and new methods of calculating pressure have been proposed. The core idea is to solve the momentum equation to obtain pressure based on computing the pressure gradient from the velocity data. In short, the first step is to acquire PIV velocity data to determine acceleration. The second step lies in extracting the pressure gradient from the velocity data and last is the computation of the pressure field based on spatial integration of the pressure gradient from a reference point, normally at a corner of the measurement.

Microvec has implemented a software module to enable computation of pressure distribution in its PIV software. The computation uses a novel method called Irrotational Correction on Pressure Gradient (patent pending) that is unique and greatly improves the pressure reconstruction.

Determining pressure in a vortex ring impacting a wall

PIV

Image: Flow visualization using dye

PIV

Image: Velocity field

PIV

Image: Pressure field

Time Resolved PIV (TR PIV) is based on capturing images at a very fast rate (typically hundreds or thousands of frames per second) using high-speed cameras. Images are captured at a series of time intervals and the velocity information is extracted based on time between the frames.

AMEE TR PIV offers two types of TR PIV Systems:
Systems for flow speeds below 1 m/s (high-speed camera and a DPSS laser)
Systems for flow speeds above 1 m/s (high-speed camera and a high frequency PIV laser)

Standard Components:

High-speed camera (high-resolution cameras up to 1000 fps, low-resolution cameras up to 16 000 fps)
High frequency double pulse PIV laser
Synchronizer
MicroVec PIV software

Applications:

Wind/Water Tunnels
Aerospace/Aeronautics
Compressors, Turbines, Fans, Pumps, Sprays
Chemical Mixing Equipment
Microelectromechanical systems (MEMS)

PIV

PIV 

 

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