4.5 Article

A novel measurement method for measuring the concentration-dependent mutual diffusion coefficients based on finite volume method

期刊

JOURNAL OF CHEMICAL THERMODYNAMICS
卷 189, 期 -, 页码 -

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jct.2023.107208

关键词

Concentration-dependent mutual diffusion; coefficient; FVM; Digital holographic interferometry; Measurement; LiTSFI aqueous solution

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This paper presents a novel measurement method based on the finite volume method (FVM) for measuring the concentration-dependent mutual diffusion coefficient D(C) in binary solution. The measurement principle was derived by integrating Fick's second law and establishing discretization equation. The method was validated through experiments and a semi-empirical correlation was built to study the temperature and concentration influences on the diffusion coefficient D.
This paper presents a novel measurement method based on the finite volume method (FVM), which can be used for measuring the concentration-dependent mutual diffusion coefficient D(C) in binary solution. The measurement principle of D was derived by integrating the Fick's second law in the control volume and establishing discretization equation. By simulating the diffusion process of binary solution, discussed the feasibility of this method. This new method can be used by an experimental system that can monitor changes in concentration distribution, such as optical interferometry. A set of 20 binary mixtures was tested to verify the method. The experimental results showed good agreement with and the literature, which verifies the accuracy of the method. The relative expanded combined uncertainty for the proposed method is estimated to 2.2 %. In addition, D(C) of LiTSFI aqueous solution was measured by the new method based on the digital holographic interferometry system at 288.15 K, 298.15 K and 308.15 K over the mass fraction range of 0 - 0.447 (0 - 2 mol/L). The temperature and concentration influences of D were discussed and a semi-empirical correlation was built.

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