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Acoustic Emission Sensors to Monitor Early Onset of Necking During Uniaxial Tension

Baral, Madhav ; Al-Jewad, Ali ; Breunig, Alexander ; Ha, Jinjin ; Groche, Peter ; Korkolis, Yannis ; Kinsey, Brad (2022)
Acoustic Emission Sensors to Monitor Early Onset of Necking During Uniaxial Tension.
ASME 2022 17th International Manufacturing Science and Engineering Conference. West Lafayette, Indiana , USA (27.06.2022-01.07.2022)
doi: 10.1115/MSEC2022-85554
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Elastic waves are generated and propagate when a material undergoes plastic deformation and can be detected by acoustic emission (AE). In this work, AE measurements are obtained during a uniaxial tension (UT) test using a custom-made sensor employing piezoelectric crystals. The UT tests are performed on an MTS machine with two AE sensors clamped on each end of the specimen gage section. A low pass Butterworth filter is designed to attenuate the high frequency noise from the AE signals. Also, full-field strain measurements on the specimen surface are acquired using the 2-D digital image correlation (DIC) method. A typical result from a UT test reveals, as the plastic deformation increases, the AE signals from each sensor increase until they reach a maximum value followed by a drop of signal until the specimen fractures. It is found through interrogation of the DIC images that the maximum amplitude from the AE signals corresponds to the early onset of localized necking. The goal of this work is to implement the UT findings in an actual forming process (e.g., cup drawing) and monitor the event in real time using closed loop control to achieve improved formability.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2022
Autor(en): Baral, Madhav ; Al-Jewad, Ali ; Breunig, Alexander ; Ha, Jinjin ; Groche, Peter ; Korkolis, Yannis ; Kinsey, Brad
Art des Eintrags: Bibliographie
Titel: Acoustic Emission Sensors to Monitor Early Onset of Necking During Uniaxial Tension
Sprache: Englisch
Publikationsjahr: 2022
Ort: New York
Verlag: ASME
Buchtitel: Proceedings of the ASME 2022 17th International Manufacturing Science and Engineering Conference. Volume 2: Manufacturing Processes; Manufacturing Systems
Veranstaltungstitel: ASME 2022 17th International Manufacturing Science and Engineering Conference
Veranstaltungsort: West Lafayette, Indiana , USA
Veranstaltungsdatum: 27.06.2022-01.07.2022
DOI: 10.1115/MSEC2022-85554
URL / URN: https://asmedigitalcollection.asme.org/MSEC/proceedings/MSEC...
Kurzbeschreibung (Abstract):

Elastic waves are generated and propagate when a material undergoes plastic deformation and can be detected by acoustic emission (AE). In this work, AE measurements are obtained during a uniaxial tension (UT) test using a custom-made sensor employing piezoelectric crystals. The UT tests are performed on an MTS machine with two AE sensors clamped on each end of the specimen gage section. A low pass Butterworth filter is designed to attenuate the high frequency noise from the AE signals. Also, full-field strain measurements on the specimen surface are acquired using the 2-D digital image correlation (DIC) method. A typical result from a UT test reveals, as the plastic deformation increases, the AE signals from each sensor increase until they reach a maximum value followed by a drop of signal until the specimen fractures. It is found through interrogation of the DIC images that the maximum amplitude from the AE signals corresponds to the early onset of localized necking. The goal of this work is to implement the UT findings in an actual forming process (e.g., cup drawing) and monitor the event in real time using closed loop control to achieve improved formability.

Zusätzliche Informationen:

MSEC2022-85554, V002T05A045; 5 pages

Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Produktionstechnik und Umformmaschinen (PtU)
16 Fachbereich Maschinenbau > Institut für Produktionstechnik und Umformmaschinen (PtU) > Forschungsabteilung Prozessketten und Anlagen
Hinterlegungsdatum: 01 Nov 2022 07:02
Letzte Änderung: 30 Aug 2024 09:22
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