Categorization of sprays by image analysis with convolutional neuronal networks

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dc.contributor.authorPieloth, Damian
dc.contributor.authorRodeck, Matthias
dc.contributor.authorSchaldach, Gerhard
dc.contributor.authorThommes, Markus
dc.date.accessioned2023-10-20T10:10:41Z
dc.date.available2023-10-20T10:10:41Z
dc.date.issued2022-11-04
dc.description.abstractSpray characterization has been an issue for process and product characterization for decades. Because of this, a convolutional neuronal network was developed to determine the droplet size from spray images. The images were taken using a digital camera, a light source, and a dark room. These were subsequently employed to design and train a convolutional neuronal network using open-source software packages and a desktop computer. The accuracy of the network droplet size determinations was checked with additional, independent images. The median drop size was assessed with a high accuracy of more than 99.8 % as the mean spray performance indicator. Additionally, the droplet size distribution measurements from the neural network method deviated from those from the reference method (laser diffraction) by less than 1.5 %. Convolutional neuronal networks can be applied to determine the spray performance using spray cone images. This approach could be useful for multiple applications.en
dc.identifier.urihttp://hdl.handle.net/2003/42164
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-23997
dc.language.isoende
dc.relation.ispartofseriesChemical engineering & technology;46(2)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/de
dc.subjectConvolutional neural networksen
dc.subjectDroplet sizeen
dc.subjectImage analysisen
dc.subjectMachine learningen
dc.subjectSpray categorizationen
dc.subject.ddc660
dc.subject.rswkZellulares neuronales Netzde
dc.subject.rswkTropfengrößede
dc.subject.rswkBildanalysede
dc.subject.rswkMaschinelles Lernende
dc.subject.rswkZerstäubungde
dc.titleCategorization of sprays by image analysis with convolutional neuronal networksen
dc.typeTextde
dc.type.publicationtypeResearchArticlede
dcterms.accessRightsopen access
eldorado.secondarypublicationtruede
eldorado.secondarypublication.primarycitationPieloth, D., Rodeck, M., Schaldach, G. and Thommes, M. (2023), Categorization of Sprays by Image Analysis with Convolutional Neuronal Networks. Chem. Eng. Technol., 46: 264-269. https://doi.org/10.1002/ceat.202200356de
eldorado.secondarypublication.primaryidentifierDOI: https://doi.org/10.1002/ceat.202200356de

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