Dash, A and Paul, A (2022) Estimation of Tracer and Intrinsic Diffusion Coefficients from Body Diagonal Diffusion Couples in a Multi-Principal Element Alloy. In: Journal of Phase Equilibria and Diffusion .
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Abstract
The estimation of (n-1)2 interdiffusion coefficients in an n component system requires (n-1) diffusion paths to intersect or pass closely in the (n-1) dimensional space according to the body diagonal diffusion couple method. These interdiffusion coefficients are related to n(n-1) intrinsic (or n tracer diffusion coefficients), which cannot be estimated following the Kirkendall marker experiment in a multicomponent system despite their importance for understanding the atomic mechanism of diffusion and the physico-mechanical properties of materials. In this study, the estimation of tracer diffusion coefficients from only two diffusion profiles following the concept of the body diagonal diffusion couple method in a multicomponent system is demonstrated. Subsequently, one can estimate the intrinsic and interdiffusion coefficients. This reduces the overall effort up to a great extent since it needs only two instead of (n-1) diffusion profiles irrespective of the number of components, with an additional benefit of enabling the estimation of all types of diffusion coefficients. The available tracer diffusion coefficients estimated following the radiotracer method are compared to the data estimated in this study. This method can also be extended to the systems where the radiotracer method is not feasible.
Item Type: | Journal Article |
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Publication: | Journal of Phase Equilibria and Diffusion |
Publisher: | Springer |
Additional Information: | The copyright for this article belongs to Springer. |
Keywords: | Alloys; Radioactive tracers, Body diagonals; Diffusion couple; Diffusion profiles; Interdiffusion; Interdiffusion coefficients; Multi-component diffusion; Multicomponents systems; Muti-principal element alloy; Radiotracer method; Tracer diffusion coefficients, Diffusion |
Department/Centre: | Division of Mechanical Sciences > Materials Engineering (formerly Metallurgy) |
Date Deposited: | 11 Oct 2022 11:12 |
Last Modified: | 11 Oct 2022 11:12 |
URI: | https://eprints.iisc.ac.in/id/eprint/77319 |
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