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Calculation of ternary interdiffusion coefficients using a single diffusion couple
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SYSNO ASEP 0463571 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Calculation of ternary interdiffusion coefficients using a single diffusion couple Author(s) Čermák, Jiří (UFM-A) RID, ORCID
Rothová, Věra (UFM-A) RIDNumber of authors 2 Source Title Kovové materiály. - : Ústav fyziky materiálu AV ČR, v. v. i. - : Ústav materiálov a mechaniky strojov SAV. - : Ústav materiálového výskumu SAV. - : Strojnícka fakulta STU - ISSN 0023-432X
Roč. 54, č. 5 (2016), s. 305-314Number of pages 10 s. Language eng - English Country SK - Slovakia Keywords diffusion ; interdiffusion ; ternary alloys ; ternary diffusion coefficients Subject RIV BJ - Thermodynamics OECD category Thermodynamics R&D Projects ED1.1.00/02.0068 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Institutional support UFM-A - RVO:68081723 UT WOS 000385899300001 EID SCOPUS 84994335401 DOI 10.4149/km_2016_5_305 Annotation In this paper, the simple numerical algorithm is proposed that enables to estimate ternary interdiffusion coefficients D in systems with not too strongly interacting components. D’s are obtained from measurement with a single model diffusion couple. They can be used to predict concentration curves C i (x) (i = 1, 2, 3) in arbitrary time with numerical errors that are comparable with experimental errors of measurement of c i itself and comply with theoretical constraints following from the linear irreversible thermodynamics. The algorithm does not need any external thermodynamic data and external measurements (e.g., it is not necessary to measure the shift of inert markers in the interface). It can be applied using commonly accessible SW, and it is not time-consuming. Values of D are close to those obtained with the help of much more laborious experimental – also approximate – methods. Workplace Institute of Physics of Materials Contact Yvonna Šrámková, sramkova@ipm.cz, Tel.: 532 290 485 Year of Publishing 2017
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