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Optimizations of Optical Flow Measurement Systems

Gesemann, Sebastian (2018) Optimizations of Optical Flow Measurement Systems. Dissertation, Georg-August-Universität Göttingen.

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Official URL: http://hdl.handle.net/11858/00-1735-0000-002E-E4DA-C


In this cumulative thesis contributions are presented that cover the computational aspects of optical measurement systems for flow investigations in aerodynamics and fluid mechanics. Flow measurements are useful in gaining an understanding of flow dynamics and validating numerical models for flow dynamics simulations. With the goal of accurately capturing and visualizing details of unsteady and moving flow structures based on recorded digital images of small tracer particles, the contributions cover a wide range from digital image processing, camera calibration, 20 and 30 reconstruction, estimation of position, velocity and acceleration, noise reduction and spatial interpolation of scattered 30 data using physically-motivated regularizations.

Item URL in elib:https://elib.dlr.de/117731/
Document Type:Thesis (Dissertation)
Title:Optimizations of Optical Flow Measurement Systems
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Gesemann, Sebastiansebastian.gesemann (at) dlr.deUNSPECIFIED
Date:22 October 2018
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Number of Pages:205
Keywords:optical measurement systems, 2D and 3D reconstruction, flow dynamics simulations, particle image velocimetry; flow measurement; particle tracking; pressure estimation
Institution:Georg-August-Universität Göttingen
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:fixed-wing aircraft
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Simulation and Validation
Location: Göttingen
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > Experimental Methods, GO
Deposited By: Gesemann, Sebastian
Deposited On:21 Dec 2017 15:55
Last Modified:21 Nov 2018 17:30

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