Holle, Eric ; Knödl, Felix ; Mayer, Martin ; Schneider, Tizian ; Spiehl, Dieter ; Blaeser, Andreas ; Dörsam, Edgar ; Schütze, Andreas (2023)
Control of ink-water balance in offset lithography by machine learning.
49th International Research Conference of Iarigai. Wuppertal (18.09. - 20.09.2023)
doi: 10.14622/Advances_49_2023_16
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
This paper presents a concept for recording relevant press parameters and parameters influencing the ink-water balance. The sensor technology for recording additional process parameters is explained and the installation of a measuring traverse in a sheetfed offset press is shown. A measurement campaign with variation of various printing parameters was carried out. The set press parameters and the sensor data were digitally documented and then evaluated using sensor data fusion and a machine learning toolbox developed at Saarland University. The sensor data consists of temperature, humidity and gas sensor data, which were synchronized with the recorded press parameters. The target variable to be investigated is the setting of the dampening potentiometer. It was shown that the algorithm is able to relatively accurately reconstruct the setting of the dampening potentiometer.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Holle, Eric ; Knödl, Felix ; Mayer, Martin ; Schneider, Tizian ; Spiehl, Dieter ; Blaeser, Andreas ; Dörsam, Edgar ; Schütze, Andreas |
| Art des Eintrags: | Bibliographie |
| Titel: | Control of ink-water balance in offset lithography by machine learning |
| Sprache: | Englisch |
| Publikationsjahr: | 2023 |
| Ort: | Darmstadt |
| Verlag: | Iarigai |
| Buchtitel: | Advances in Printing and Media Technology Vol. 49 |
| Veranstaltungstitel: | 49th International Research Conference of Iarigai |
| Veranstaltungsort: | Wuppertal |
| Veranstaltungsdatum: | 18.09. - 20.09.2023 |
| DOI: | 10.14622/Advances_49_2023_16 |
| Kurzbeschreibung (Abstract): | This paper presents a concept for recording relevant press parameters and parameters influencing the ink-water balance. The sensor technology for recording additional process parameters is explained and the installation of a measuring traverse in a sheetfed offset press is shown. A measurement campaign with variation of various printing parameters was carried out. The set press parameters and the sensor data were digitally documented and then evaluated using sensor data fusion and a machine learning toolbox developed at Saarland University. The sensor data consists of temperature, humidity and gas sensor data, which were synchronized with the recorded press parameters. The target variable to be investigated is the setting of the dampening potentiometer. It was shown that the algorithm is able to relatively accurately reconstruct the setting of the dampening potentiometer. |
| Freie Schlagworte: | gas sensor, printing, AI, model, sensor fusion |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Druckmaschinen und Druckverfahren (IDD) |
| Hinterlegungsdatum: | 24 Apr 2024 12:43 |
| Letzte Änderung: | 25 Apr 2024 08:34 |
| PPN: | 517440059 |
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