A Pressure Field Reconstruction Technology Based on Particle Image Velocimetry (PIV) Velocity Field Inversion

This video demonstrates a cutting-edge approach to fluid mechanics: reconstructing pressure fields directly from Particle Image Velocimetry (PIV) velocity data. By applying the Navier-Stokes equations to the high-resolution velocity vectors captured by our cameras, researchers can derive pressure gradients without the need for intrusive physical probes.

The PIV Inversion Workflow

• Image Acquisition: Capturing dual-frame particle images using a synchronized PIV system.

• Velocity Calculation: Utilizing cross-correlation algorithms to generate the initial velocity vector field.

• Pressure Inversion: Implementing the Poisson equation or Omni-directional integration to reconstruct the 2D or 3D pressure distribution.

Why Choose Particle Image Velocimetry (PIV) for Pressure Reconstruction?

In traditional fluid dynamics research, measuring pressure often requires physical sensors that can inadvertently alter the flow field. Our video demonstrates how Particle Image Velocimetry (PIV) overcomes these limitations by utilizing non-intrusive, high-speed imaging to derive pressure gradients.

Below is a technical comparison highlighting the advantages of using a PIV system for dynamic pressure mapping versus conventional methods:

Insight for Research Engineers:

By leveraging the high temporal resolution of our Particle Image Velocimetry (PIV) systems, you can now reconstruct pressure fields in real-time. This eliminates the need for complex multi-sensor arrays and provides a more holistic view of the aerodynamic forces acting on your model, whether in a wind tunnel or a water flume.

Note: The accuracy of pressure inversion is highly dependent on the image quality. Our sCMOS cameras provide the ultra-low noise needed for high-fidelity Particle Image Velocimetry (PIV) data.