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dc.contributor.authorIllmann, Lars
dc.contributor.authorWelch, Cooper
dc.contributor.authorSchmidt, Marius
dc.contributor.authorErhard, Jannick
dc.contributor.authorBöhm, Benjamin
dc.date.accessioned2023-12-13T10:22:40Z
dc.date.available2023-12-13T10:22:40Z
dc.date.issued2023-12
dc.identifier.urihttps://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4059
dc.descriptionThe PIV raw images were used for flame detection and therefore have the same optical structure. Only the relevant parts of the cycles from the ignition point onwards were processed in Matlab. The raw images with a flame were also masked and the local standard deviation calculated. This local standard deviation was normalized using the standard deviation of an image without a flame. Areas of vaporized oil droplets differ in the standard deviation from areas with oil droplets and the associated high local intensity fluctuation. These differences in the values can be used to identify the area of burnt gas, referred to below as the flame, using a threshold value and to binarize the PIV images. The binarized images were averaged over the recorded cycles and normalized to one, indicating the probability that the flame reached this pixel at a given time. Statistical analyses were carried out on the basis of such flame probabilities.de_DE
dc.language.isoende_DE
dc.rightsCreative Commons Attribution-NonCommercial 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectDarmstadt Enginede_DE
dc.subjectFlame Visualizationde_DE
dc.subjectCatalyst Heatingde_DE
dc.subjectOptical Diagnosticde_DE
dc.subject.classification404-03 Strömungsmechanikde_DE
dc.subject.classification404-04 Strömungs- und Kolbenmaschinende_DE
dc.subject.ddc620
dc.titleFlame PDF - Direct Injecion for Cat-Heating Operating Points de_DE
dc.typeDatasetde_DE
dc.description.version1.0de_DE
tud.unitTUDa


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Creative Commons Attribution-NonCommercial 4.0
Solange nicht anders angezeigt, wird die Lizenz wie folgt beschrieben: Creative Commons Attribution-NonCommercial 4.0