Wireless Rotating 3D Velocimetry system for high-resolution 3D rotor aerodynamics.

The R3DV 2.0 system is a compact, wireless, on-board imaging solution for measuring 3D airflow around rotating wings, using a high-resolution camera and Raspberry Pi to capture synchronized, high-quality flow data without complex external optics or wiring.

Background

The study of experimental fluid dynamics is critical for characterizing unsteady, three-dimensional flows around rotating wings, which are fundamental to rotorcraft, wind turbines, and propellers. In these environments, unique aerodynamic phenomena like stabilized leading-edge vortices significantly enhance lift but remain difficult to model. There is a vital need to precisely measure these dynamic structures to develop accurate computational fluid dynamics models and improve aerodynamic performance. Capturing the continuous evolution of these flow features requires specialized velocimetry techniques capable of operating within the rotating reference frame.

Despite this need, current velocimetry approaches face severe limitations. Traditional methods relying on stationary cameras and laser sheets suffer from restricted angular resolution and cannot track continuous, phase-dependent flow evolution. Advanced volumetric techniques improve resolution but are constrained by robotic armatures and hardwired connections, preventing true rotating-frame operation. Furthermore, early attempts to adapt imaging to rotating frames utilized stationary cameras viewing flows through rotating mirrors. These setups introduced complex, bulky optical paths and required long working distances, resulting in low spatial resolution and significant scalability issues that hinder practical application in larger experimental facilities.

Technology

The Rotating Three-Dimensional Velocimetry (R3DV 2.0) system is an advanced on-board imaging architecture designed to characterize complex fluid flows around rotating wings. Integrated directly onto a custom 3D-printed, aerodynamic rotating hub, the solution features a 5.1-megapixel global shutter sensor controlled by a Raspberry Pi 4b, which manages image acquisition and local data storage. The system utilizes Particle Image Velocimetry (PIV) paired with Helium-Filled Soap Bubbles acting as flow tracers. To coordinate the imaging process, ESP32 modules provide robust wireless synchronization between the rotating camera and a stationary laser sheet.

This technology is highly differentiated because it completely eliminates the mechanical and optical complexities that plague conventional velocimetry methods. Unlike traditional systems that rely on stationary cameras, bulky external mirrors, or restrictive slip rings, this fully self-contained solution operates in a true rotating frame without physical data tethers. By mounting the compact sensor close to the measurement volume and utilizing wireless triggering, it overcomes the low spatial resolution and alignment issues of previous iterations. This modular approach ensures high-quality imaging and provides unprecedented scalability, easily expanding to support multi-camera configurations for precise 3D flow field analysis.

Benefits

  • Eliminates the need for complex external optics, bulky mirrors, and mechanical slip rings by integrating all imaging, control, and data storage hardware directly onto the rotating hub.
  • Enables true rotating-frame measurements, allowing for continuous, unconstrained observation of complex and unsteady 3D flows (such as leading edge vortices) around rotating wings.
  • Delivers high spatial resolution and distortion-free imaging with a high signal-to-noise ratio by utilizing a close-proximity 5.1 MP global shutter sensor.
  • Simplifies the experimental setup through a robust wireless synchronization scheme that precisely coordinates the on-board camera exposure with a stationary laser pulse.
  • Offers a highly scalable, lightweight, and aerodynamic 3D-printed design, making it easily adaptable for higher rotational speeds, larger test facilities, and future multi-camera tomographic arrays.
  • Ensures highly accurate velocity measurements by utilizing neutrally buoyant Helium-Filled Soap Bubbles (HFSB) that resist centrifugal depletion, alongside a technique that leverages rotational velocity bias to resolve directional ambiguity.

Applications

  • Wind turbine blade flow analysis
  • Helicopter rotor aerodynamic performance testing
  • UAV propeller aerodynamic design optimization
  • Marine propeller fluid dynamics testing
  • Turbomachinery blade flow field analysis

Additional info

This on-board velocimetry system features a 5.1 MP global shutter sensor and a Raspberry Pi 4b integrated directly onto a rotating hub. It utilizes ESP32 modules for wireless synchronization between the rotating camera and a stationary laser, eliminating slip rings. Designed for rotating-frame flow measurements, it employs single-frame, double-exposure Particle Image Velocimetry with helium-filled soap bubbles, utilizing rotational velocity bias to resolve directional ambiguity.