Determination of prior austenite grain-and martensitic substructure size from metallographic etchings using a multi-step image processing algorithm
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
Autoren
Organisationseinheiten
Externe Organisationseinheiten
- Materials Center Leoben Forschungs GmbH
- voestalpine Böhler Aerospace GmbH & Co KG, Kapfenberg
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.
Details
Titel in Übersetzung | Größenbestimmung von ehemaligen Austenitkörnern und martensitischen Substrukturen mit Hilfe eines mehrstufigen Bildverarbeitungsalgorithmus anhand metallographischer Ätzungen |
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Originalsprache | Englisch |
Seiten (von - bis) | 386-404 |
Seitenumfang | 19 |
Fachzeitschrift | Praktische Metallographie/Practical Metallography |
Jahrgang | 59.2022 |
Ausgabenummer | 7 |
DOIs | |
Status | Veröffentlicht - 20 Juli 2022 |