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Soft Sensor approach based on magnetic barkhausen noise by means of the forming process punch-hole-rolling

Mühl, Fabian ; Knoll, Maximilian ; Khabou, M. ; Dietrich, S. ; Groche, Peter ; Schulze, V. (2021)
Soft Sensor approach based on magnetic barkhausen noise by means of the forming process punch-hole-rolling.
In: Advances in Industrial and Manufacturing Engineering
doi: 10.1016/j.aime.2021.100039
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

The relevance of the magnetic Barkhausen noise (MBN) and the non-destructive characterization of material properties in near surface layers, has increased in recent years.With the development of new signal processing techniques, the method was further developed into a powerful evaluation technique and is used in various areas of online and offline measurement. In addition to the established use in the detection of grinding burn, the method is increasingly used in the context of soft sensors for property controlled processes, due to its short analysis times. By a detailed description of a soft sensor concept for the novel forming process punch-hole-rolling this work focuses on the offline characterization of the process specific cause-effect relationships. This is done by analyzing the process interactions as well as the surface layer state by a metallographic investigation. Additionally a non-destructive characterization by means of MBN was done and correlated with the surface layer state. This provides important findings for the use of a MBN-sensor in a soft sensor concept and the potential integration into the forming process.

Typ des Eintrags: Artikel
Erschienen: 2021
Autor(en): Mühl, Fabian ; Knoll, Maximilian ; Khabou, M. ; Dietrich, S. ; Groche, Peter ; Schulze, V.
Art des Eintrags: Bibliographie
Titel: Soft Sensor approach based on magnetic barkhausen noise by means of the forming process punch-hole-rolling
Sprache: Englisch
Publikationsjahr: Mai 2021
Verlag: Elsevier
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Advances in Industrial and Manufacturing Engineering
DOI: 10.1016/j.aime.2021.100039
URL / URN: https://www.sciencedirect.com/science/article/pii/S266691292...
Kurzbeschreibung (Abstract):

The relevance of the magnetic Barkhausen noise (MBN) and the non-destructive characterization of material properties in near surface layers, has increased in recent years.With the development of new signal processing techniques, the method was further developed into a powerful evaluation technique and is used in various areas of online and offline measurement. In addition to the established use in the detection of grinding burn, the method is increasingly used in the context of soft sensors for property controlled processes, due to its short analysis times. By a detailed description of a soft sensor concept for the novel forming process punch-hole-rolling this work focuses on the offline characterization of the process specific cause-effect relationships. This is done by analyzing the process interactions as well as the surface layer state by a metallographic investigation. Additionally a non-destructive characterization by means of MBN was done and correlated with the surface layer state. This provides important findings for the use of a MBN-sensor in a soft sensor concept and the potential integration into the forming process.

Freie Schlagworte: magnetic barkhausen noise, soft sensor, surface treatment, metal forming, property control, punch-hole rolling
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Produktionstechnik und Umformmaschinen (PtU)
Hinterlegungsdatum: 25 Mai 2021 05:53
Letzte Änderung: 25 Mai 2021 05:53
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