Determination of prior austenite grain-and martensitic substructure size from metallographic etchings using a multi-step image processing algorithm

Publikationen: Beitrag in FachzeitschriftArtikelForschung(peer-reviewed)

Standard

Determination of prior austenite grain-and martensitic substructure size from metallographic etchings using a multi-step image processing algorithm. / Hönigmann, Thomas; Brandl, Dominik Christian; Stockinger, Martin et al.
in: Praktische Metallographie/Practical Metallography, Jahrgang 59.2022, Nr. 7, 20.07.2022, S. 386-404.

Publikationen: Beitrag in FachzeitschriftArtikelForschung(peer-reviewed)

Bibtex - Download

@article{3009539b3b254ce5b8650da6a4a81712,
title = "Determination of prior austenite grain-and martensitic substructure size from metallographic etchings using a multi-step image processing algorithm",
abstract = "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.",
keywords = "electron backscatter diffraction EBSD, image analysis, martensitic steel, prior austenite grain size",
author = "Thomas H{\"o}nigmann and Brandl, {Dominik Christian} and Martin Stockinger and Christian Gruber and Franziska Frois and Gerald Ressel",
note = "Publisher Copyright: {\textcopyright} 2022 Walter de Gruyter GmbH, Berlin/Boston, Germany.",
year = "2022",
month = jul,
day = "20",
doi = "10.1515/pm-2022-1012",
language = "English",
volume = "59.2022",
pages = "386--404",
journal = "Praktische Metallographie/Practical Metallography",
issn = "0032-678X",
publisher = "Carl Hanser Verlag GmbH & Co. KG",
number = "7",

}

RIS (suitable for import to EndNote) - Download

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 -