Application of two non-commercial programs to image processing and extraction of selected features occurring in material microstructure
Authors:
- Agnieszka Szczotok,
- Dariusz Karpisz
Abstract
Metallography is the study of the microstructure of all types of metallic alloys. By extension, the same principles can be applied to the characterization of any material. Metallographic analysis of a materials microstructure helps us first of all in identifying of composition and thermomechanical history of a material determining if the material has been processed correctly and is therefore a critical step for determining product reliability and for determining why a material failed. Nowadays many non-commercial computer-aided programmes are being developed and applied to metallographic investigations. The paper presents selected examples of application of two non-commercial programmes to metallographic investigations of γ’ phase precipitates in Ni-based superalloy CMSX-4. The aim of the research is to demonstrate some possibilities of the programmes and to discuss some aspects of image selection for the research, image preprocessing, and morphological and mathematical transformations, which can effect quantitative results of metallographic analysis.
- Record ID
- CUT1d04fedb9b0546bfbc99534e87460702
- Publication categories
- ; ;
- Author
- Pages
- 1721-1725
- Other elements of collation
- il. kolor.; Bibliografia (na s.) - 1725; Bibliografia (liczba pozycji) - 21; Oznaczenie streszczenia - Abstr.
- Book
- METAL 2019 : 28th International Conference on Metallurgy and Materials, Brno, Czech Republic, May 22nd-24th 2019 : conference proceedings, 2019, Ostrawa, TANGER Ltd., ISBN 978-80-87294-92-5
- Keywords in English
- metallographic analysis, Ni-based superalloy, non-commercial programme, image analysis, microstructure
- Language
- eng (en) English
- Score (nominal)
- 5
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT1d04fedb9b0546bfbc99534e87460702/
- URN
urn:pkr-prod:CUT1d04fedb9b0546bfbc99534e87460702
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