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Analyse und Optimierung der bildgebenden Signalerfassung von gefilterter Rayleighstreuung

Jungmann, Joshua (2017) Analyse und Optimierung der bildgebenden Signalerfassung von gefilterter Rayleighstreuung. Bachelor's, Hochschule Bonn-Rhein-Sieg.

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The aim of this thesis is to investigate and optimize the camera system which is used for Filtered Rayleigh Scattering (FRS) measurement systems. Theoretical considerations about the integration of interference filters explain state-of-the-art accuracy limitations. Based on that promising modifications of the established FRS system are presented: test results indicate that frequency fringes - artifacts distorting FRS scans - are minimized by positioning the spectral bandpass filter between camera and first lens. As a tradeoff, the signal level decreases by 70 % to 75% depending on the beam path through the molecular filter. Furthermore, reference measurements without a bandpass filter account for a non-negligible iodine fluorescence background of about 1% of typical signal levels. All things considered following these results FRS systems can now be systematically optimized towards specific measurement tasks.

Item URL in elib:https://elib.dlr.de/127103/
Document Type:Thesis (Bachelor's)
Title:Analyse und Optimierung der bildgebenden Signalerfassung von gefilterter Rayleighstreuung
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Jungmann, JoshuaHochschule Bonn-Rhein-SiegUNSPECIFIEDUNSPECIFIED
Date:7 September 2017
Refereed publication:No
Open Access:Yes
Number of Pages:65
Keywords:Laseroptische Strömungsmesstechnik Gefilterte Rayleighstreuung Optische Systemauslegung
Institution:Hochschule Bonn-Rhein-Sieg
Department:Fachbereich Elektrotechnik, Maschinenbau und Technikjournalismus
HGF - Research field:Energy
HGF - Program:Energy Efficiency, Materials and Resources
HGF - Program Themes:Efficient and Flexible Power Plants
DLR - Research area:Energy
DLR - Program:E VS - Combustion Systems
DLR - Research theme (Project):E - Gas Turbine (old)
Location: Köln-Porz
Institutes and Institutions:Institute of Propulsion Technology > Engine Measurement Systems
Deposited By: Burow, Eike Jens
Deposited On:15 Apr 2019 10:31
Last Modified:10 Dec 2019 13:48

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