Potentials of in situ monitoring of aluminum alloy forging by acoustic emission

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Bernd Arno Behrens
  • Anas Bouguecha
  • Christian Buse
  • Kai Wölki
  • Adrian Santangelo
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Details

OriginalspracheEnglisch
Seiten (von - bis)724-733
Seitenumfang10
FachzeitschriftArchives of Civil and Mechanical Engineering
Jahrgang16
Ausgabenummer4
PublikationsstatusVeröffentlicht - 1 Juni 2016

Abstract

Deviations during forging processes lead to workpiece failure when the forming limits of the material are exceeded. In production processes an early detection of manufacturing faults is preferred. The acoustic emission (AE) technique is examined with respect to its ability to detect deviations in lubrication conditions and in the structural integrity of different aluminum part geometries and alloys during forming. In a first step, an upsetting of varying specimen shapes was performed in order to study correlations of occurring defects as well as changing friction conditions with acoustic emission response. Afterwards, a cross joint was forged and AE was analyzed. The results suggest that crack detection during forging is feasible but limited by material ductility. In addition, it is shown that the characteristics of the acoustic emission during forming strongly depend on the respective alloy. With respect to faultless warm forging it is found that different stages are reflected in the AE signal, facilitating the detection of process deviations.

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Potentials of in situ monitoring of aluminum alloy forging by acoustic emission. / Behrens, Bernd Arno; Bouguecha, Anas; Buse, Christian et al.
in: Archives of Civil and Mechanical Engineering, Jahrgang 16, Nr. 4, 01.06.2016, S. 724-733.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Behrens BA, Bouguecha A, Buse C, Wölki K, Santangelo A. Potentials of in situ monitoring of aluminum alloy forging by acoustic emission. Archives of Civil and Mechanical Engineering. 2016 Jun 1;16(4):724-733. doi: 10.1016/j.acme.2016.04.012
Behrens, Bernd Arno ; Bouguecha, Anas ; Buse, Christian et al. / Potentials of in situ monitoring of aluminum alloy forging by acoustic emission. in: Archives of Civil and Mechanical Engineering. 2016 ; Jahrgang 16, Nr. 4. S. 724-733.
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abstract = "Deviations during forging processes lead to workpiece failure when the forming limits of the material are exceeded. In production processes an early detection of manufacturing faults is preferred. The acoustic emission (AE) technique is examined with respect to its ability to detect deviations in lubrication conditions and in the structural integrity of different aluminum part geometries and alloys during forming. In a first step, an upsetting of varying specimen shapes was performed in order to study correlations of occurring defects as well as changing friction conditions with acoustic emission response. Afterwards, a cross joint was forged and AE was analyzed. The results suggest that crack detection during forging is feasible but limited by material ductility. In addition, it is shown that the characteristics of the acoustic emission during forming strongly depend on the respective alloy. With respect to faultless warm forging it is found that different stages are reflected in the AE signal, facilitating the detection of process deviations.",
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Download

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T1 - Potentials of in situ monitoring of aluminum alloy forging by acoustic emission

AU - Behrens, Bernd Arno

AU - Bouguecha, Anas

AU - Buse, Christian

AU - Wölki, Kai

AU - Santangelo, Adrian

N1 - Funding information: The presented work is a result of the project “Online-Überwachung von Schmiedeprozessen mittels akustischer Emissionsanalyse”, project number BE1691/78-2, granted by the German Research Foundation (DFG) The authors are thankful for the financial support. Thanks to Institut für Werkstoffkunde (Materials Science), Leibniz Universität Hannover, for scanning electron microscope images.

PY - 2016/6/1

Y1 - 2016/6/1

N2 - Deviations during forging processes lead to workpiece failure when the forming limits of the material are exceeded. In production processes an early detection of manufacturing faults is preferred. The acoustic emission (AE) technique is examined with respect to its ability to detect deviations in lubrication conditions and in the structural integrity of different aluminum part geometries and alloys during forming. In a first step, an upsetting of varying specimen shapes was performed in order to study correlations of occurring defects as well as changing friction conditions with acoustic emission response. Afterwards, a cross joint was forged and AE was analyzed. The results suggest that crack detection during forging is feasible but limited by material ductility. In addition, it is shown that the characteristics of the acoustic emission during forming strongly depend on the respective alloy. With respect to faultless warm forging it is found that different stages are reflected in the AE signal, facilitating the detection of process deviations.

AB - Deviations during forging processes lead to workpiece failure when the forming limits of the material are exceeded. In production processes an early detection of manufacturing faults is preferred. The acoustic emission (AE) technique is examined with respect to its ability to detect deviations in lubrication conditions and in the structural integrity of different aluminum part geometries and alloys during forming. In a first step, an upsetting of varying specimen shapes was performed in order to study correlations of occurring defects as well as changing friction conditions with acoustic emission response. Afterwards, a cross joint was forged and AE was analyzed. The results suggest that crack detection during forging is feasible but limited by material ductility. In addition, it is shown that the characteristics of the acoustic emission during forming strongly depend on the respective alloy. With respect to faultless warm forging it is found that different stages are reflected in the AE signal, facilitating the detection of process deviations.

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