TAM 537 - Experimental Fluid Mechanics

Fall 2020

TitleRubricSectionCRNTypeHoursTimesDaysLocationInstructor
Experimental Fluid MechanicsTAM537K39107PKG41300 - 1450 M W  158 Loomis Laboratory Leonardo Chamorro
Experimental Fluid MechanicsTAM537K39107PKG4 -    Leonardo Chamorro

Official Description

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, and laser-Doppler velocimetry; flow visualization, particle-image velocimetry. Course Information: Prerequisite: TAM 531 or TAM 532.

Detailed Course Description

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.

Textbook:

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

Topics:

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
Flow visualization
Thermal anemometry; hotwires, hot films, vector sensors
Optical diagnostics: interferometry, particle-image velocimetry, particle-tracking velocimetry

Laboratory experiments:

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

Last updated

9/20/2018