2017
DOI: 10.3390/met8010016
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On Sluggish Diffusion in Fcc Al–Co–Cr–Fe–Ni High-Entropy Alloys: An Experimental and Numerical Study

Abstract: High-throughput measurement using the numerical inverse method combined with the diffusion multiple technique was employed to determine the composition-dependent interdiffusion coefficients in fcc Al-Co-Cr-Fe-Ni high-entropy alloys at 1273, 1323, and 1373 K. The reliability of the obtained interdiffusion coefficients was confirmed by comparing the model-predicted composition/interdiffusion flux profiles with the experimental data. The tracer diffusivities of the components were then predicted based on the obta… Show more

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Cited by 61 publications
(30 citation statements)
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“…The comparison unambiguously substantiate that, at least, one has to use the results of the numerical inverse methods with a care. While the following ratio of the tracer diffusion coefficients is established by the direct method, D * Ni < D * Co < D * Fe < D * Cr [22,24], just opposite trends were found using the numerical inverse method in the work [31], see Fig. 6.…”
Section: Inverse Solutions Of Interdiffusion Problemmentioning
confidence: 89%
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“…The comparison unambiguously substantiate that, at least, one has to use the results of the numerical inverse methods with a care. While the following ratio of the tracer diffusion coefficients is established by the direct method, D * Ni < D * Co < D * Fe < D * Cr [22,24], just opposite trends were found using the numerical inverse method in the work [31], see Fig. 6.…”
Section: Inverse Solutions Of Interdiffusion Problemmentioning
confidence: 89%
“…the determination of the tracer diffusion coefficients from the known composition profiles and the corresponding thermodynamics -was not proven so far. Nevertheless, as it was mentioned, many efforts were put in the development of numerical procedures which ideally have to allow a direct solution of the inverse diffusion problem providing the concentration-dependent tracer diffusion coefficients from the known chemical profiles and the available thermodynamic assessment of the system [31]. According to the authors of the approach, the method was successfully applied to several binary, ternary and multi-component systems [31].…”
Section: Inverse Solutions Of Interdiffusion Problemmentioning
confidence: 99%
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