On the Analysis of Composition Profiles in Binary Single-Phase Diffusion Couples: Systems with a Strong Compositional Dependence of the Interdiffusion Coefficient

Diffusion couple technique is an efficient tool for the estimating the chemical diffusion coefficients. Typical experimental uncertainties of the composition profile measurements complicate a correct determination of the interdiffusion coefficients via the standard Boltzmann-Matano, Sauer-Freise or the den Broeder methods, especially for systems with a strong compositional dependence of the interdiffusion coefficient. A new approach for reliable fitting of the experimental profiles with an improved behavior at both ends of the diffusion couple is proposed and tested against the experimental data on chemical diffusion in the system Fe-Ga. An extension of the approach for reliable description of the up-hill diffusion phenomenon in multicomponent systems is presented.

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Interdiffusion in Nb-Mo, Nb-Ti and Nb-Zr Systems

Defect and Diffusion Forum ◽

10.4028/www.scientific.net/ddf.323-325.491 ◽

2012 ◽

Vol 323-325 ◽

pp. 491-496 ◽

Cited By ~ 3

Author(s):

Soma Prasad ◽

Aloke Paul

Keyword(s):

Activation Energy ◽

Diffusion Coefficient ◽

Diffusion Couple ◽

Impurity Diffusion ◽

Impurity Diffusion Coefficient ◽

Different Temperatures ◽

Diffusion Couple Technique ◽

Interdiffusion Coefficients

Diffusion couple technique is used to study interdiffusion in Nb-Mo, Nb-Ti and Nb-Zr systems. Interdiffusion coefficients at different temperatures and compositions are determined using the relation developed by Wagner. The change in activation energy for interdiffusion with composition is determined. Further, impurity diffusion coefficient of the species are determined and compared with the available data in literature.

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Application of numerical inverse method in calculation of composition-dependent interdiffusion coefficients in finite diffusion couples

Metallurgical and Materials Engineering ◽

10.30544/308 ◽

2017 ◽

Vol 23 (3) ◽

pp. 197-211 ◽

Cited By ~ 3

Author(s):

Yuanrong Liu ◽

Weimin Chen ◽

Jing Zhong ◽

Ming Chen ◽

Lijun Zhang

Keyword(s):

Diffusion Couple ◽

Inverse Method ◽

Diffusion Path ◽

Diffusion Couples ◽

Ternary Diffusion ◽

Inverse Approach ◽

Ternary Diffusion Couple ◽

Composition Profiles ◽

Standard Sets ◽

Interdiffusion Coefficients

The previously developed numerical inverse method was applied to determine the composition-dependent interdiffusion coefficients in single-phase finite diffusion couples. The numerical inverse method was first validated in a fictitious binary finite diffusion couple by pre-assuming four standard sets of interdiffusion coefficients. After that, the numerical inverse method was then adopted in a ternary Al-Cu-Ni finite diffusion couple. Based on the measured composition profiles, the ternary interdiffusion coefficients along the entire diffusion path of the target ternary diffusion couple were obtained by using the numerical inverse approach. The comprehensive comparisons between the computations and the experiments indicate that the numerical inverse method is also applicable to high-throughput determination of the composition-dependent interdiffusion coefficients in finite diffusion couples.

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Determination of interdiffusion coefficients of Si and Al in Ti 3 SiC 2 –Ti 3 AlC 2 diffusion couple at 1373‐1673 K

Journal of the American Ceramic Society ◽

10.1111/jace.16723 ◽

2019 ◽

Vol 103 (1) ◽

pp. 670-680

Author(s):

Zerong Zhang ◽

Xiaohui Yin ◽

Yuhai Qian ◽

Jingjun Xu ◽

Jun Zuo ◽

...

Keyword(s):

Diffusion Couple ◽

Interdiffusion Coefficients

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Experimental determination of band offset energies between Zr silicate alloy dielectrics and crystalline Si substrates by XAS, XPS and AES and ab initio theory: a new approach to the compositional dependence of direct tunneling currents

Digest. International Electron Devices Meeting, ◽

10.1109/iedm.2002.1175915 ◽

2003 ◽

Cited By ~ 4

Author(s):

G. Lucovsky ◽

B. Rayner ◽

Yu Zhang ◽

J. Whitten

Keyword(s):

Ab Initio ◽

Experimental Determination ◽

Band Offset ◽

Compositional Dependence ◽

New Approach ◽

Si Substrates ◽

Direct Tunneling ◽

Ab Initio Theory ◽

Tunneling Currents

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Improvements in the Prediction of the Wave Making Resistance From Potential Flow by Using Transverse Wave Cut Methods

Volume 2: CFD and VIV ◽

10.1115/omae2015-42120 ◽

2015 ◽

Author(s):

Johannes Will ◽

Anja Kömpe

Keyword(s):

Transverse Wave ◽

Potential Flow ◽

Wave Resistance ◽

New Approach ◽

Operational Costs ◽

Correct Determination ◽

Major Shortcoming ◽

Resistance Prediction ◽

Major Factors

The reliable and correct determination of the wave resistance is the key to an efficient ship design, as the wave resistance is one on the major factors concerning building and operational costs. In this paper the authors present a new approach to transverse wave cut analysis to overcome the major shortcoming of the resistance prediction from potential flow: a numerically stable and physically sound estimate for the magnitude of the wave making resistance.

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Application of diffusion couple technique for the determination of the Ti-Bi-Sn phase diagram

Crystal Research and Technology ◽

10.1002/crat.200410414 ◽

2005 ◽

Vol 40 (7) ◽

pp. 713-718 ◽

Cited By ~ 5

Author(s):

G. P. Vassilev

Keyword(s):

Phase Diagram ◽

Diffusion Couple ◽

Diffusion Couple Technique

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Determination of phase diagrams using the diffusion couple technique

Rare Metals ◽

10.1016/s1001-0521(06)60079-x ◽

2006 ◽

Vol 25 (5) ◽

pp. 427-430 ◽

Cited By ~ 9

Author(s):

H XU ◽

Y DU ◽

Y ZHOU ◽

Z JIN

Keyword(s):

Diffusion Couple ◽

Phase Diagrams ◽

Diffusion Couple Technique

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Investigation of Interdiffusion in High Entropy Alloys: Application of the Random Alloy Model

Diffusion Foundations ◽

10.4028/www.scientific.net/df.22.94 ◽

2019 ◽

Vol 22 ◽

pp. 94-108

Author(s):

Mohammad Afikuzzaman ◽

Irina V. Belova ◽

Graeme E. Murch

Keyword(s):

Diffusion Couple ◽

High Entropy Alloys ◽

Diffusion Couples ◽

High Entropy ◽

Significant Difference ◽

Composition Profiles ◽

Random Alloy ◽

Explicit Finite Difference ◽

Interdiffusion Coefficients ◽

Good Agreement

High entropy alloys (HEAs) are composed of five or more principal elements with equal (or nearly equal) compositions. In this paper, interdiffusion phenomenon in the HEAs is investigated. Two composition dependent (as well as composition independent) interdiffusion matrices have been used for detailed studying of the diffusion behaviour in CoCrFeMnNi HEAs. These matrices are calculated according to the Darken and Manning formalisms and are used in combination with the explicit finite difference method (EFDM) to obtain interdiffusion profiles. First, the interdiffusion profiles are calculated for the case of the terminal binary diffusion couple. A significant difference in the composition profiles is found between predictions according to the Darken and Manning formalisms. Next, the interdiffusion problem in the 5-component alloy is addressed numerically by considering the interdiffusion coefficients as constant, independent of composition, in CoCrFeMnNi alloys for several diffusion couples (mainly quasi-binary and quasi-ternary). The simulated composition profiles are found to be in a very good agreement with the available experimental results [1, 2]. It should be pointed out that the independence on composition of the interdiffusion matrix should be used for diffusion couples under two conditions: relatively small changes in composition, and the non-zero/non-dilute terminal compositions. The composition dependent interdiffusion matrix should be used in the diffusion couple if the composition differences are large and/or zero/dilute terminal compositions. In this paper, the Darken and Manning formalisms are used for modelling the composition dependent interdiffusion matrices. The purpose of this modelling is to systematically investigate interdiffusion in CoCrFeMnNi alloys in diffusion couples with substantial changes in composition. The main application of the present research is in the prediction of possible interdiffusion profiles in the framework of the random alloy model.

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