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Exploitation of force displacement curves in blanking—feature engineering beyond defect detection

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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