project-highlight-image

CFD and PIV Analysis of Flow Around a NACA 0012 Airfoil

In this project, we investigated the flow behavior around a NACA 0012 airfoil using both experimental PIV measurements in a closed-loop water tunnel and numerical CFD simulations in ANSYS Fluent. We analyzed velocity fields, stagnation points, wake formation, and boundary layer development for multiple angles of attack. Experimental drag coefficients and vortex shedding frequencies were compared to numerical predictions, showing strong agreement between the PIV and CFD models. The project demonstrates how experimental and computational methods complement each other in characterizing aerodynamic performance.
Home
Questions?
hero-image

Priscilla X. Vazquez

Project Timeline

Apr 2025 - Current

HighlightS

  1. Generated calibrated PIV measurements for multiple angles of attack
  2. Computed drag coefficients and Strouhal numbers from experimental data
  3. Performed mesh studies and viscous/inviscid CFD simulations in ANSYS Fluent
  4. Demonstrated agreement between experimental and numerical drag trends
  5. Visualized asymmetric flow acceleration and vortex shedding behavior

SKILLS

PIV data acquisition
PIV vector field processing
Boundary layer analysis
ANSYS Fluent (viscous & inviscid models)
Control volume momentum analysis
Experimental calibration and alignment
CFD–experiment validation
Flow visualization
Signal processing (FFT for vortex shedding)
Python/Matlab post-processing

This project characterized the 2D flow field around a NACA 0012 airfoil using Particle Image Velocimetry (PIV) and computational fluid dynamics (CFD). Experiments were conducted in a closed-loop water tunnel with a 4-inch chord airfoil mounted at angles of attack ranging from –14° to +14°. PIV measurements captured instantaneous velocity fields, from which boundary layer development, stagnation points, and wake structures were extracted.

Using calibrated scaling and laser timing, we generated 50 velocity snapshots per condition and computed averaged flow fields, drag coefficients, and Strouhal numbers. Results showed that increasing angle of attack produced larger velocity asymmetry, stronger vortex shedding, and higher drag coefficients. The Strouhal number increased with angle of attack, indicating higher shedding frequencies and increased wake unsteadiness.

Parallel CFD simulations were performed in ANSYS Fluent using both inviscid and viscous solvers. A water-tunnel-scale domain was meshed at multiple resolutions to evaluate mesh sensitivity. Lift, drag, and pressure distributions predicted by the CFD runs were compared to experimental data, and the trends agreed closely with the PIV-derived coefficients.

Overall, the project demonstrated the strengths and limitations of PIV and CFD, showing how both tools can be used together to analyze aerodynamic performance and flow physics around an airfoil. A compiled final report can be found here.