The accuracy of plenoptic and tomographic particle image velocimetry (PIV) experimental methods is measured by simulating three-dimensional flows and measuring the errors in the estimated versus true velocity fields. Parametric studies investigate the accuracy of these methods by simulating a range of camera numbers, camera angles, calibration errors, and particle densities. The plenoptic simulations combine lightfield imaging techniques with standard tomographic techniques and are shown to produce higher fidelity measurements than either technique alone. The tomographic PIV simulations are centered around testing software developed for processing large quantities of data that were produced during an experimental investigation of the flow field about a 3D printed model of the flying snake Chrysopelea paradisi. A description of this tomographic PIV experiment is given along with basic results and recommendations for future investigation. / Doctor of Philosophy / Two different experimental measurement techniques that can be used to measure three-dimensional fluid flow fields are discussed. The first measurement technique that is investigated in simulations uses cameras with arrays of lenses to simultaneously capture images of a flow field from multiple different angles. A method of combining the data from multiple cameras is discussed and shown to yield more accurate estimates of the three-dimensional flow fields than from a single camera alone. An additional measurement technique that uses a group of standard cameras to measure three-dimensional flow fields is also discussed with respect to software that was developed for processing a large volume dataset. This software was developed for processing data collected during an experimental investigation of the flow field about a 3D printed model of the flying snake Chrysopelea paradisi. A description of this experiment is given along with basic results and recommendations for future investigation.
Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/111846 |
Date | 16 September 2022 |
Creators | La Foy, Roderick Robert |
Contributors | Mechanical Engineering, Socha, John J., Tafti, Danesh K., Paul, Mark R., Stremler, Mark A., Diller, Thomas E. |
Publisher | Virginia Tech |
Source Sets | Virginia Tech Theses and Dissertation |
Language | English |
Detected Language | English |
Type | Dissertation |
Format | ETD, application/pdf, application/pdf |
Rights | Creative Commons Attribution-NonCommercial 4.0 International, http://creativecommons.org/licenses/by-nc/4.0/ |
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