Volumetric velocimetry combined with laser-induced fluorescence (LIF), delivering high reconstruction accuracy—optimized for fluid mechanics, aerospace applications, automotive R&D, thermal sciences, and related fields.
Revealer Micro Particle Image Velocimetry (PIV) System combines a high-speed camera, laser, light guide arm, workstation, optional high-magnification lens, optional inverted fluorescence microscope, and RFlow software. It allows real-time measurement of microfluidic flow fields in microchannels.
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Revealer Tomographic Particle Image Velocimetry (PIV) System for 3D flow measurement includes 4 high-speed or high-resolution cameras, a laser, a synchronization controller, and RFlow software. It enables real-time measurement of all three velocity components at every point within a 3D volume.
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Revealer Stereo Particle Image Velocimetry (PIV) System is an enhanced version of the planar PIV system. It features 2 high-speed cameras, a laser, a synchronization controller, and RFlow software, allowing the calculation of either the out-of-plane velocity component (perpendicular to the measurement plane) or in-plane velocity components.
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Revealer 2D2C Particle Image Velocimetry (PIV) System includes a single high-speed camera, a laser, a synchronization controller, and RFlow software. It allows for the calculation of 2D, two-component velocity field data within the measurement plane.
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Revealer Educational Particle Image Velocimetry (PIV) System is designed for undergraduate teaching experiments, based on the PIV principle. This all-in-one solution includes a recirculating water channel with standard airfoil and cylindrical bluff body obstacles, a CMOS camera, a continuous laser, and RFlow software for flow field visualization and measurement.
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For liquid flow fields: Select tracer particles with densities and particle sizes similar to the liquid, such as silicone oil or polyethylene particles.
For gas flow fields: Select tracer particles with densities and particle sizes similar to the gas, such as smoke or aerosol particles.
ppp = Number of particles [particles] / Number of pixels [pixels].
It can be calculated using the particle concentration estimation tool in the software assistant toolbox.
The classical cross-correlation method is the most universal. The classical multi-channel algorithm is recommended for its good generalization ability, high robustness, and high accuracy.
The multi-scale method is advantageous for its fast speed and is suitable for demonstration purposes or scenarios where quick results are needed.
The affine method is primarily effective for complex flow fields. For simple flow fields such as translational motion, its efficiency may not necessarily be better than the classical method.
Uniform Illumination: Use a diffuser plate or diffuse reflective material to ensure uniform lighting across the entire flow field area. Reflective areas can be coated with matte paint.
High-Speed Flow Fields: Employ a short-pulse laser, such as a nanosecond-pulse laser, to reduce exposure time and capture instantaneous flow field information.
The pinhole imaging model is an interpretable and classical method with strong universality. It also has relatively good robustness when the calibration board does not cover the entire field of view.
The polynomial model has higher accuracy than the pinhole imaging model. However, it is prone to overfitting and reduced accuracy outside the range of the calibration board.
