Research work was performed in cooperation with Delphi Automotive Systems to optimize Particle Image Velocimetry (PIV) measurements using the in-cylinder velocity flow fields in Delphi's optical engine. It entailed comprehending PIV theory, making a purchased PIV system work on Delphi's optical engine, investigation of PIV seeding techniques, applying PIV to steady-state liquid and air flow fields, calibrating/validating the PIV system operation, understanding the operation of Delphi's optical engine, performing optical engine velocity flow field measurements, comparing measurement results with Delphi's computational fluid dynamic (CFD) model, and optimizing the measurement technique for varying 2-D velocity flow fields. All the mentioned targets of the thesis were met by comprehending PIV theory and applying this knowledge to make the purchased PIV system work on a liquid flow field. Then seeding techniques for air flow fields were investigated and honed so that PIV could be performed on Delphi's optical engine. The optical engine was used extensively and the operation fully understood before any PIV data was taken on the engine. PIV data was acquired on the engine and the results were compared with CFD models. From this experimentation on the engine, a new analysis technique was developed to optimize the acquisition of PIV data. The analysis technique is programmed in Labview and it provides consistent data acquisition and savings in time. It also shows the possibility of CFD prediction and is extendable to PIV applications other than the optical engine.
Library of Congress Subject Headings
Particle image velocimetry; Fluid dynamic measurements; Fluid dynamic measurements--Data processing; Particles--Measurement; Fluid dynamics; Flow meters
Department, Program, or Center
Mechanical Engineering (KGCOE)
Chmiel, David, "Optimization of particle image velocimetry measurements using the in-cylinder velocity flow fields in an optical engine" (2000). Thesis. Rochester Institute of Technology. Accessed from
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