Kubik, Christian ; Hohmann, Johannes ; Groche, Peter (2024)
Exploitation of force displacement curves in blanking—feature engineering beyond defect detection.
In: The International Journal of Advanced Manufacturing Technology, 2021, 113 (1-2)
doi: 10.26083/tuprints-00023456
Artikel, Zweitveröffentlichung, Verlagsversion
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Kurzbeschreibung (Abstract)
With the current tendency of mass production towards customer-oriented serial production, blanking processes are facing new challenges. They require an increase in knowledge about faulty process conditions and their influence on the quality of a component as well as an instruction for a target-oriented adaptation of the process. The aim of this study is therefore to identify property deviations based on force-displacement curves and to establish correlations between the quality of the component and features of force-displacement curves. For this purpose, parameter variations are carried out on a high-speed press and features are extracted from these measured time series. Afterwards, the correlation between varying process parameters and features is carried out to obtain a conclusion about the condition of the component. The results of these studies for a regression analysis form the basis for a decision support system to identify deviations of the component as well as faulty process conditions. The paper shows that a reliable correlation between the quality of the component and force-displacement curves is possibly based on the feature engineering approach even under industrial boundary conditions. This also applies to the simultaneous modification and variations within a limited range of several process parameters.
Typ des Eintrags: | Artikel |
---|---|
Erschienen: | 2024 |
Autor(en): | Kubik, Christian ; Hohmann, Johannes ; Groche, Peter |
Art des Eintrags: | Zweitveröffentlichung |
Titel: | Exploitation of force displacement curves in blanking—feature engineering beyond defect detection |
Sprache: | Englisch |
Publikationsjahr: | 17 Dezember 2024 |
Ort: | Darmstadt |
Publikationsdatum der Erstveröffentlichung: | März 2021 |
Ort der Erstveröffentlichung: | London |
Verlag: | Springer |
Titel der Zeitschrift, Zeitung oder Schriftenreihe: | The International Journal of Advanced Manufacturing Technology |
Jahrgang/Volume einer Zeitschrift: | 113 |
(Heft-)Nummer: | 1-2 |
DOI: | 10.26083/tuprints-00023456 |
URL / URN: | https://tuprints.ulb.tu-darmstadt.de/23456 |
Zugehörige Links: | |
Herkunft: | Zweitveröffentlichung DeepGreen |
Kurzbeschreibung (Abstract): | With the current tendency of mass production towards customer-oriented serial production, blanking processes are facing new challenges. They require an increase in knowledge about faulty process conditions and their influence on the quality of a component as well as an instruction for a target-oriented adaptation of the process. The aim of this study is therefore to identify property deviations based on force-displacement curves and to establish correlations between the quality of the component and features of force-displacement curves. For this purpose, parameter variations are carried out on a high-speed press and features are extracted from these measured time series. Afterwards, the correlation between varying process parameters and features is carried out to obtain a conclusion about the condition of the component. The results of these studies for a regression analysis form the basis for a decision support system to identify deviations of the component as well as faulty process conditions. The paper shows that a reliable correlation between the quality of the component and force-displacement curves is possibly based on the feature engineering approach even under industrial boundary conditions. This also applies to the simultaneous modification and variations within a limited range of several process parameters. |
Freie Schlagworte: | Blanking, Supervision, Feature engineering, Fault detection |
Status: | Verlagsversion |
URN: | urn:nbn:de:tuda-tuprints-234563 |
Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Produktionstechnik und Umformmaschinen (PtU) |
Hinterlegungsdatum: | 17 Dez 2024 12:26 |
Letzte Änderung: | 19 Dez 2024 08:44 |
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Suche nach Titel in: | TUfind oder in Google |
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