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.
Translated title of the contribution | Größenbestimmung von ehemaligen Austenitkörnern und martensitischen Substrukturen mit Hilfe eines mehrstufigen Bildverarbeitungsalgorithmus anhand metallographischer Ätzungen |
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Original language | English |
Pages (from-to) | 386-404 |
Number of pages | 19 |
Journal | Praktische Metallographie/Practical Metallography |
Volume | 59.2022 |
Issue number | 7 |
DOIs | |
Publication status | Published - 20 Jul 2022 |
Bibliographical note
Publisher Copyright:© 2022 Walter de Gruyter GmbH, Berlin/Boston, Germany.