In-situ-Erfassung der Werkstoffumwandlung und Gefügeausbildung von Schmiedebauteilen im Abkühlpfad

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • O. Bruchwald
  • W. Frackowiak
  • T. Bucquet
  • A. Huskic
  • W. Reimche
  • H. J. Maier

Externe Organisationen

  • Leibniz-Institut für Werkstofforientierte Technologien
Forschungs-netzwerk anzeigen

Details

Titel in ÜbersetzungIn-Situ Monitoring of the Material Transformation in Forged Components
OriginalspracheMehrere Sprachen
Seiten (von - bis)150-161
Seitenumfang12
FachzeitschriftHTM - Journal of Heat Treatment and Materials
Jahrgang70
Ausgabenummer3
PublikationsstatusVeröffentlicht - Juni 2015

Abstract

In the AiF-initiative "Leittechnologien für Morgen - Ressourcen-effiziente Prozesskette für Hochleistungsbauteile - EcoForge ", a shortened forging process-chain for high performance components was developed with the objective of conserving resources and saving energy, orientated towards lightweight structures and inherent component safety. With respect to shortening the process chain, one aspect was the sensor-controlled and regulated bainitic transformation of high strength, ductile bainitic steels (HDB) directly from the forging heat. Within the scope of the sub-project "Sensor-controlled material transformations", a bainite-sensor measurement system was developed having a specially oriented, robust sensor technology. The system allows for detecting material transformations as well as the formation of phases and micro-structures in high-performance steel components to be non-de-structively and contact-free detected in situ during cooling from the austenitic region. Combined with water-air spray field cooling, it was possible to realize a regulated and individually adapted cooling of hot forged components directly from the forging heat, and to specifically adjust the microstructure and the resulting component properties. With the bainite-sensor system, one can reliably detect the start of the transformation, the current level of transformation and the end of the transformation - even under industrial conditions. One can also differentiate and classify the microstructural formation of ferrite-pearlite, bainite and martensite by using the characteristic signal profiles, as well as quantify the fractions of the microstructural constituents in the mixed structures. Owing to its robustness as well as the potential for evaluating the measured signal profiles online during the process the system developed is suitable for online-quality assurance in industrial forging and heat treatment lines. It can also be employed to detect such as edge decarburization or scaling with high sensitivity.

Schlagwörter

    Bainite-sensor, Eddy-current technology, Forged components, Forging process chain, Harmonic analysis, Heat treatment, High performance components, Material transformation, Microstructure and phase formation, Quality assurance

ASJC Scopus Sachgebiete

Zitieren

In-situ-Erfassung der Werkstoffumwandlung und Gefügeausbildung von Schmiedebauteilen im Abkühlpfad. / Bruchwald, O.; Frackowiak, W.; Bucquet, T. et al.
in: HTM - Journal of Heat Treatment and Materials, Jahrgang 70, Nr. 3, 06.2015, S. 150-161.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Bruchwald, O, Frackowiak, W, Bucquet, T, Huskic, A, Reimche, W & Maier, HJ 2015, 'In-situ-Erfassung der Werkstoffumwandlung und Gefügeausbildung von Schmiedebauteilen im Abkühlpfad', HTM - Journal of Heat Treatment and Materials, Jg. 70, Nr. 3, S. 150-161. https://doi.org/10.3139/105.110259
Bruchwald, O., Frackowiak, W., Bucquet, T., Huskic, A., Reimche, W., & Maier, H. J. (2015). In-situ-Erfassung der Werkstoffumwandlung und Gefügeausbildung von Schmiedebauteilen im Abkühlpfad. HTM - Journal of Heat Treatment and Materials, 70(3), 150-161. https://doi.org/10.3139/105.110259
Bruchwald O, Frackowiak W, Bucquet T, Huskic A, Reimche W, Maier HJ. In-situ-Erfassung der Werkstoffumwandlung und Gefügeausbildung von Schmiedebauteilen im Abkühlpfad. HTM - Journal of Heat Treatment and Materials. 2015 Jun;70(3):150-161. doi: 10.3139/105.110259
Bruchwald, O. ; Frackowiak, W. ; Bucquet, T. et al. / In-situ-Erfassung der Werkstoffumwandlung und Gefügeausbildung von Schmiedebauteilen im Abkühlpfad. in: HTM - Journal of Heat Treatment and Materials. 2015 ; Jahrgang 70, Nr. 3. S. 150-161.
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keywords = "Bainite-sensor, Eddy-current technology, Forged components, Forging process chain, Harmonic analysis, Heat treatment, High performance components, Material transformation, Microstructure and phase formation, Quality assurance",
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T1 - In-situ-Erfassung der Werkstoffumwandlung und Gefügeausbildung von Schmiedebauteilen im Abkühlpfad

AU - Bruchwald, O.

AU - Frackowiak, W.

AU - Bucquet, T.

AU - Huskic, A.

AU - Reimche, W.

AU - Maier, H. J.

PY - 2015/6

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N2 - In the AiF-initiative "Leittechnologien für Morgen - Ressourcen-effiziente Prozesskette für Hochleistungsbauteile - EcoForge ", a shortened forging process-chain for high performance components was developed with the objective of conserving resources and saving energy, orientated towards lightweight structures and inherent component safety. With respect to shortening the process chain, one aspect was the sensor-controlled and regulated bainitic transformation of high strength, ductile bainitic steels (HDB) directly from the forging heat. Within the scope of the sub-project "Sensor-controlled material transformations", a bainite-sensor measurement system was developed having a specially oriented, robust sensor technology. The system allows for detecting material transformations as well as the formation of phases and micro-structures in high-performance steel components to be non-de-structively and contact-free detected in situ during cooling from the austenitic region. Combined with water-air spray field cooling, it was possible to realize a regulated and individually adapted cooling of hot forged components directly from the forging heat, and to specifically adjust the microstructure and the resulting component properties. With the bainite-sensor system, one can reliably detect the start of the transformation, the current level of transformation and the end of the transformation - even under industrial conditions. One can also differentiate and classify the microstructural formation of ferrite-pearlite, bainite and martensite by using the characteristic signal profiles, as well as quantify the fractions of the microstructural constituents in the mixed structures. Owing to its robustness as well as the potential for evaluating the measured signal profiles online during the process the system developed is suitable for online-quality assurance in industrial forging and heat treatment lines. It can also be employed to detect such as edge decarburization or scaling with high sensitivity.

AB - In the AiF-initiative "Leittechnologien für Morgen - Ressourcen-effiziente Prozesskette für Hochleistungsbauteile - EcoForge ", a shortened forging process-chain for high performance components was developed with the objective of conserving resources and saving energy, orientated towards lightweight structures and inherent component safety. With respect to shortening the process chain, one aspect was the sensor-controlled and regulated bainitic transformation of high strength, ductile bainitic steels (HDB) directly from the forging heat. Within the scope of the sub-project "Sensor-controlled material transformations", a bainite-sensor measurement system was developed having a specially oriented, robust sensor technology. The system allows for detecting material transformations as well as the formation of phases and micro-structures in high-performance steel components to be non-de-structively and contact-free detected in situ during cooling from the austenitic region. Combined with water-air spray field cooling, it was possible to realize a regulated and individually adapted cooling of hot forged components directly from the forging heat, and to specifically adjust the microstructure and the resulting component properties. With the bainite-sensor system, one can reliably detect the start of the transformation, the current level of transformation and the end of the transformation - even under industrial conditions. One can also differentiate and classify the microstructural formation of ferrite-pearlite, bainite and martensite by using the characteristic signal profiles, as well as quantify the fractions of the microstructural constituents in the mixed structures. Owing to its robustness as well as the potential for evaluating the measured signal profiles online during the process the system developed is suitable for online-quality assurance in industrial forging and heat treatment lines. It can also be employed to detect such as edge decarburization or scaling with high sensitivity.

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KW - Harmonic analysis

KW - Heat treatment

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KW - Material transformation

KW - Microstructure and phase formation

KW - Quality assurance

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JO - HTM - Journal of Heat Treatment and Materials

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