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3D Minimum Channel Width Distribution in a Ni Base Superalloy

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00007480
URN to cite this document: urn:nbn:de:bvb:703-epub-7480-2

Title data

Müller, Moritz ; Böttger, Bernd ; Schleifer, Felix ; Fleck, Michael ; Glatzel, Uwe:
3D Minimum Channel Width Distribution in a Ni Base Superalloy.
In: Integrating Materials and Manufacturing Innovation. Vol. 12 (2023) . - pp. 27-40.
ISSN 2193-9772
DOI der Verlagsversion: https://doi.org/10.1007/s40192-022-00290-3

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Abstract

The strength of a Ni-base superalloy depends strongly on its microstructure consisting of cuboidal γ′ precipitates surrounded by narrow channels of γ matrix. According to the theory of Orowan, a moving dislocation has to crimp through the minimal inter-precipitate spacing to admit the plastic deformation. We present a novel approach to evaluate the matrix channel width distribution of a matrix/γ′ microstructure in binary representation. Our method relies on precise determination of the matrix/precipitate interfaces and requires no additional user input. For each matrix channel between two neighboring precipitates, we identify the minimal interface to interface distance vector with its length being the channel width. The performance of this method is demonstrated on the example of the commercial alloy CSMX-4. We show that, in contrast to conventional line sectioning approaches, the approach consistently handles experimental 2D micrographs and 3D phase-field simulation data. The identified distance vectors correlate to the underlying crystal symmetry independent of the image orientation. The obtained channel width distributions compare well between the 2D and 3D data. This is in terms of similar median and σ of a log-normal distribution. The presented method overcomes limitations of the conventional line slicing approaches and provides a versatile tool for automated microstructure characterization.

Further data

Item Type: Article in a journal
Keywords: Automated image analysis; Quantification of microstructure; Feature extraction; Ni-Base superalloys; Channel width
DDC Subjects: 000 Computer Science, information, general works
600 Technology, medicine, applied sciences
600 Technology, medicine, applied sciences > 620 Engineering
Institutions of the University: Faculties > Faculty of Engineering Science > Chair Metals and Alloys > Chair Metals and Alloys - Univ.-Prof. Dr.-Ing. Uwe Glatzel
Profile Fields > Advanced Fields
Profile Fields > Advanced Fields > Advanced Materials
Research Institutions
Research Institutions > Central research institutes
Research Institutions > Central research institutes > Bayreuth Center for Material Science and Engineering - BayMAT
Faculties
Faculties > Faculty of Engineering Science
Faculties > Faculty of Engineering Science > Chair Metals and Alloys
Profile Fields
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-7480-2
Date Deposited: 20 Feb 2024 09:12
Last Modified: 20 Feb 2024 09:12
URI: https://epub.uni-bayreuth.de/id/eprint/7480

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