Luciano, Nicola (2020)
An optimized hybrid data reduction strategy in 1D Raman/Rayleigh spectroscopic measurements of turbulent flames.
Technische Universität Darmstadt
doi: 10.25534/tuprints-00011432
Dissertation, Erstveröffentlichung
Kurzbeschreibung (Abstract)
A variety of technical applications in energy conversion are based on turbulent combustion. Despite the advanced contest of operation, (turbulent) combustion science is at a relatively young stage. Detailed investigations of benchmark flames are essential to achieve a better understanding of the physics behind the mentioned processes, as well as to provide reliable database for validating numerical models developed to simulate turbulent combustion problems. Raman/Rayleigh spectroscopy is a highly valuable technique which allows to access simultaneous information on temperature and main chemical species concentration within the flame structures. The data reduction strategy applied with this technique is crucial, in order to extract reliable information from the experimental investigations. In this this thesis, a modified version of the strategy, based on the Hybrid Method by Fuest et al., has been developed and tested using NLP problem solving techniques, including global optimization methods and a genetic algorithm. The proposed strategy allows for a significant reduction of the data processing time, requires less user’s expertise and returns better results in reduced measurements error. The modified routine has been applied to data set provided by an experimental investigation of two turbulent premixed methane/air jet flames belonging to the flamelet regime of turbulent premixed combustion. The data set is composed by multiple scalars, including major species and temperature, simultaneously measured with single-shot 1D Raman/Rayleigh spectroscopy. The results of the measurements are analyzed and discussed.
Typ des Eintrags: | Dissertation | ||||
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Erschienen: | 2020 | ||||
Autor(en): | Luciano, Nicola | ||||
Art des Eintrags: | Erstveröffentlichung | ||||
Titel: | An optimized hybrid data reduction strategy in 1D Raman/Rayleigh spectroscopic measurements of turbulent flames | ||||
Sprache: | Englisch | ||||
Referenten: | Hasse, Prof. Dr. Christian ; Continillo, Prof. Dr. Gaetano ; Dam, Prof. Dr. Nico J. | ||||
Publikationsjahr: | 2020 | ||||
Ort: | Darmstadt | ||||
Datum der mündlichen Prüfung: | 12 Juni 2019 | ||||
DOI: | 10.25534/tuprints-00011432 | ||||
URL / URN: | https://tuprints.ulb.tu-darmstadt.de/11432 | ||||
Kurzbeschreibung (Abstract): | A variety of technical applications in energy conversion are based on turbulent combustion. Despite the advanced contest of operation, (turbulent) combustion science is at a relatively young stage. Detailed investigations of benchmark flames are essential to achieve a better understanding of the physics behind the mentioned processes, as well as to provide reliable database for validating numerical models developed to simulate turbulent combustion problems. Raman/Rayleigh spectroscopy is a highly valuable technique which allows to access simultaneous information on temperature and main chemical species concentration within the flame structures. The data reduction strategy applied with this technique is crucial, in order to extract reliable information from the experimental investigations. In this this thesis, a modified version of the strategy, based on the Hybrid Method by Fuest et al., has been developed and tested using NLP problem solving techniques, including global optimization methods and a genetic algorithm. The proposed strategy allows for a significant reduction of the data processing time, requires less user’s expertise and returns better results in reduced measurements error. The modified routine has been applied to data set provided by an experimental investigation of two turbulent premixed methane/air jet flames belonging to the flamelet regime of turbulent premixed combustion. The data set is composed by multiple scalars, including major species and temperature, simultaneously measured with single-shot 1D Raman/Rayleigh spectroscopy. The results of the measurements are analyzed and discussed. |
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URN: | urn:nbn:de:tuda-tuprints-114327 | ||||
Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau | ||||
Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Fachgebiet Reaktive Strömungen und Messtechnik (RSM) |
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Hinterlegungsdatum: | 12 Apr 2020 19:55 | ||||
Letzte Änderung: | 12 Apr 2020 19:55 | ||||
PPN: | |||||
Referenten: | Hasse, Prof. Dr. Christian ; Continillo, Prof. Dr. Gaetano ; Dam, Prof. Dr. Nico J. | ||||
Datum der mündlichen Prüfung / Verteidigung / mdl. Prüfung: | 12 Juni 2019 | ||||
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