Full metadata
Title
Imaging and Reconstructions Associated with Emission Tomography
Description
Four-Dimensional Emission Tomography (4DET) and Four-Dimensional Absorption Tomography (4DAT) are measurement techniques that utilize multiple 2D images (or projections) acquired via an optical device, such as a camera, to reconstruct scalar and velocity fields of a flow field being studied, using either emission- or absorption-based measurements, respectively. Turbulence is inherently three-dimensional, and thus research in the field benefits from a comprehensive understanding of coherent structures to fully explain the flow physics involved, for example, in the phenomena resulting from a turbulent jet. This thesis looks at the development, application and validity/practicality of emission tomography as an experimental approach to a obtaining a comprehensive understanding of coherent structures in turbulent flows. A pseudo test domain is decided upon, with a varying number of camera objects created to image the region of interest. Rays are then modelled as cylindrical volumes to build the weight matrix. Projection images are generated with Gaussian concentration defined as a spatial function of the domain to build the projection matrix. Finally, concentration within the domain, evaluated via the Least Squares method, is compared against original concentration values. The reconstruction algorithm is validated and checked for accuracy with DNS data of a steady turbulent jet. Reconstruction accuracy and a statistical analysis of the reconstructions are also presented.
Date Created
2023
Contributors
- Rodrigues, Cossack (Author)
- Pathikonda, Gokul (Thesis advisor)
- Grauer, Samuel (Committee member)
- Adrian, Ronald (Committee member)
- Kasbaoui, Mohamed (Committee member)
- Kim, Jeonglae (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
93 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.2.N.190890
Level of coding
minimal
Cataloging Standards
Note
Partial requirement for: M.S., Arizona State University, 2023
Field of study: Mechanical Engineering
System Created
- 2023-12-14 01:43:51
System Modified
- 2023-12-14 01:44:02
- 11 months 1 week ago
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