Methods and techniques for measurement and analysis of data used in experimental fluid mechanics: signal processing, electronics, and electro-optics; fluid mechanical properties; experimental signal processing; random data and signal analysis; analog and digital data processing; dynamic similarity, self-preservation; pressure measurement, thermal anemometry, flow visualization, particle-image velocimetry and fundamentals of particle tracking velocimetry. Lecture/lab format. Prerequisite: TAM 531 or TAM 532. 4 graduate hours.
Springer Handbook of Experimental Fluid Mechanics, by Cameron Tropea (Editor), Alexander Yarin (Editor), John F. Foss (Editor).
Particle Image Velocimetry (Cambridge Aerospace Series). Ronald J. Adrian, Jerry Westerweel.
Bendat and Piersol, Random Data: Analysis and Measurement Procedures, 2nd ed., New York: Wiley (1986)
Goldstein, Fluid Mechanics Measurements, 2nd ed., Washington, D.C.: Hemisphere (1983)
Van Dyke, An Album of Fluid Motion, Stanford, Calif.: Parabolic Press (1982
Types of data: deterministic and random
Description of turbulent flows
Fourier analysis, power spectra
Systems, linear and nonlinear responses
Probability and statistics
Random processes, correlation, conditional averages
Digital data analysis
Pressure measurement: steady, unsteady
Thermal anemometry; hotwires, hot films, vector sensors
Optical diagnostics: interferometry, particle-image velocimetry, particle-tracking velocimetry
Lab 1: Basic point measurements in a wind tunnel environment.
Lab 2: Hotwire anemometry
Lab 3: Particle Image Velocimetry
Lab 4: Fundamentals of 3D particle tracking
Lab 5: Sensors, frequency response and acceleration