Determination of prior austenite grain-and martensitic substructure size from metallographic etchings using a multi-step image processing algorithm
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in: Praktische Metallographie/Practical Metallography, Jahrgang 59.2022, Nr. 7, 20.07.2022, S. 386-404.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
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TY - JOUR
T1 - Determination of prior austenite grain-and martensitic substructure size from metallographic etchings using a multi-step image processing algorithm
AU - Hönigmann, Thomas
AU - Brandl, Dominik Christian
AU - Stockinger, Martin
AU - Gruber, Christian
AU - Frois, Franziska
AU - Ressel, Gerald
N1 - Publisher Copyright: © 2022 Walter de Gruyter GmbH, Berlin/Boston, Germany.
PY - 2022/7/20
Y1 - 2022/7/20
N2 - State-of-the-art modelling algorithms allowing for prediction of macroscopic properties of martensitic steels are primarily based on microstructural parameters such as prior austenite grain size as well as martensite packet-and block size distribution. The latter are usually obtainable via electron backscatter diffraction (EBSD) measurements. However, determination via light microscopy would present a more cost-effective determination method. This work presents a python-based multi-step image processing algorithm capable of separating the grain boundaries and the martensitic substructure from etched micrographs. Additionally, the viability of a characteristic mean free path parameter λ of the martensitic substructure for comparison of different martensitic microstructures is tested. To this end, a microstructure variation of PH15-5 was performed using different heat treatments and the specimens were analyzed using EBSD and electrolytically etched micrographs.
AB - State-of-the-art modelling algorithms allowing for prediction of macroscopic properties of martensitic steels are primarily based on microstructural parameters such as prior austenite grain size as well as martensite packet-and block size distribution. The latter are usually obtainable via electron backscatter diffraction (EBSD) measurements. However, determination via light microscopy would present a more cost-effective determination method. This work presents a python-based multi-step image processing algorithm capable of separating the grain boundaries and the martensitic substructure from etched micrographs. Additionally, the viability of a characteristic mean free path parameter λ of the martensitic substructure for comparison of different martensitic microstructures is tested. To this end, a microstructure variation of PH15-5 was performed using different heat treatments and the specimens were analyzed using EBSD and electrolytically etched micrographs.
KW - electron backscatter diffraction EBSD
KW - image analysis
KW - martensitic steel
KW - prior austenite grain size
UR - http://www.scopus.com/inward/record.url?scp=85135625821&partnerID=8YFLogxK
U2 - 10.1515/pm-2022-1012
DO - 10.1515/pm-2022-1012
M3 - Article
AN - SCOPUS:85135625821
VL - 59.2022
SP - 386
EP - 404
JO - Praktische Metallographie/Practical Metallography
JF - Praktische Metallographie/Practical Metallography
SN - 0032-678X
IS - 7
ER -