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Analysis of interdiffusion data in multicomponent alloys to extract fundamental diffusion information

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Abstract

This paper reviews new procedures based around the random alloy model that have been established recently for analyzing chemical diffusion data in binary and ternary alloy systems. The authors show how atom-vacancy exchange frequency ratios, individual tracer correlation factors, and vacancy-wind factors can be extracted from the chemical diffusion data. Examples are taken from intrinsic diffusion data in the Ag-Cd and Ag-Cd-Zn alloy systems and from interdiffusion data in the Fe-Ni-Cr and Cu-Fe-Ni alloy systems.

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Authors and Affiliations

  1. Diffusion in Solids Group, School of Engineering, The University of Newcastle, 2308, Callaghan, NSW, Australia

    I. V. Belova & G. E. Murch

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  1. I. V. Belova
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  2. G. E. Murch
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Correspondence to I. V. Belova.

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Belova, I.V., Murch, G.E. Analysis of interdiffusion data in multicomponent alloys to extract fundamental diffusion information. JPED 27, 629–637 (2006). https://doi.org/10.1007/BF02736565

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  • DOI: https://doi.org/10.1007/BF02736565

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