Details
| Translated title of the contribution | In-Situ Monitoring of the Material Transformation in Forged Components |
|---|---|
| Original language | Multiple languages |
| Pages (from-to) | 150-161 |
| Number of pages | 12 |
| Journal | HTM - Journal of Heat Treatment and Materials |
| Volume | 70 |
| Issue number | 3 |
| Publication status | Published - Jun 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.
ASJC Scopus subject areas
- Engineering(all)
- Industrial and Manufacturing Engineering
- Materials Science(all)
- Metals and Alloys
- Materials Science(all)
- Materials Chemistry
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In: HTM - Journal of Heat Treatment and Materials, Vol. 70, No. 3, 06.2015, p. 150-161.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
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
Y1 - 2015/6
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.
KW - Bainite-sensor
KW - Eddy-current technology
KW - Forged components
KW - Forging process chain
KW - Harmonic analysis
KW - Heat treatment
KW - High performance components
KW - Material transformation
KW - Microstructure and phase formation
KW - Quality assurance
UR - http://www.scopus.com/inward/record.url?scp=84953204859&partnerID=8YFLogxK
U2 - 10.3139/105.110259
DO - 10.3139/105.110259
M3 - Article
AN - SCOPUS:84953204859
VL - 70
SP - 150
EP - 161
JO - HTM - Journal of Heat Treatment and Materials
JF - HTM - Journal of Heat Treatment and Materials
SN - 1867-2493
IS - 3
ER -