A Sharp-Interface Model of the Diffusive Phase Transformation in a Nickel-Based Superalloy

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Munk, L.; Reschka, S.; Maier, H.J.; Wriggers, P.; Löhnert, S.: A Sharp-Interface Model of the Diffusive Phase Transformation in a Nickel-Based Superalloy. In: Metals : open access journal 12 (2022), Nr. 8, 1261. DOI: https://doi.org/10.3390/met12081261

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Sum total of downloads: 107




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Abstract: 
A sharp-interface model employing the extended finite element method is presented. It is designed to capture the prominent γ-γ′ phase transformation in nickel-based superalloys. The novel combination of crystal plasticity and sharp-interface theory outlines a good modeling alternative to approaches based on the Cahn–Hilliard equation. The transformation is driven by diffusion of solute γ′-forming elements in the γ-phase. Boundary conditions for the diffusion problem are computed by the stress-modified Gibbs–Thomson equation. The normal mass balance of solute atoms at the interface yields the normal interface velocity, which is integrated in time by a level set procedure. In order to capture the influence of dislocation glide and climb on interface motion, a crystal plasticity model is assumed to describe the constitutive behaviour of the γ-phase. Cuboidal equilibrium shapes and Ostwald ripening can be reproduced. According to the model, in low γ′ volume-fraction alloys with separated γ′-precipitates, interface movement does not have a significant effect on tensile creep behaviour at various lattice orientations.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2022
Appears in Collections:Fakultät für Maschinenbau

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pos. country downloads
total perc.
1 image of flag of Germany Germany 74 69.16%
2 image of flag of United States United States 16 14.95%
3 image of flag of China China 6 5.61%
4 image of flag of Korea, Republic of Korea, Republic of 2 1.87%
5 image of flag of India India 2 1.87%
6 image of flag of Vietnam Vietnam 1 0.93%
7 image of flag of Taiwan Taiwan 1 0.93%
8 image of flag of Hong Kong Hong Kong 1 0.93%
9 image of flag of Denmark Denmark 1 0.93%
10 image of flag of Austria Austria 1 0.93%
    other countries 2 1.87%

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