Mechanical Engineering ETDs
Publication Date
2003
Abstract
The ''snapshot" proper orthogonal decomposition (POD) was used to analyze the turbulent characteristics of a plane mixing layer. A two-dimensional (2-D) Hartmann wavefront sensor measured optical tilt propagation through a flow field downstream of a splitter plate. The velocity difference across the splitter plate produced roller vortices via the Kelvin-Helmholtz instability. Refractive-index fluctuations were produced by slightly heating the flow on the low-speed side of the splitter plate. The Hartmann sensor detects gradients in refractive index (and thus temperature) in directions perpendicular to its direction of propagation. The measured field of two-dimensional tilt (or optical deflection) is proportional to the gradient integrated along the path from the laser diode source, through the mixing layer, and onto the receiving optics. The flow was generated upstream in a suction tunnel to produce a velocity differential across the splitter plate. Small temperature differences enabled the sensor to capture fluctuations within the mixing layer resulting from large-scale turbulent structure. An ensemble of 2000 measurements (or snapshots) acquired at 30 Hz was subjected to POD analysis to identify turbulent structures within the mixing layer.
The POD results show that the most energetic tilt fields can be represented by relatively few eigenmodes. Eight POD modes capture nearly 77% of the energy within 600 of 2000 snapshots. The tilt fields characteristic of these dominant modes can be related to the large-scale turbulent structure in agreement with an earlier analysis based on conditional averages.
Degree Name
Mechanical Engineering
Level of Degree
Masters
Department Name
Mechanical Engineering
First Committee Member (Chair)
C. Randall Turner
Second Committee Member
Marc S. Ingber
Third Committee Member
Illegible
Document Type
Thesis
Recommended Citation
Szyjka, Peter J.. "Proper Orthogonal Decomposition Of Hartmann Wavefront Sensor Data For A Plane Mixing Layer." (2003). https://digitalrepository.unm.edu/me_etds/292