Performance of predictive approaches for the viscosity of binary liquid mixtures of 1-alcohols

https://doi.org/10.31130/ud-jst.2023.527E
Tóm tắt: 61 | PDF: 70

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Author

  • Nguyen Thanh Binh
    The University of Danang - University of Science and Technology, Danang, Vietnam

Từ khóa:

Viscosity
Rough Hard-Sphere
McAllister
UNIFAC-VISCO
1-alcohols

Tóm tắt

The objective of this study is to evaluate the predictive performance of three semi-theoretical approaches for modeling viscosity of binary liquid mixtures composed of 1-alcohols. For the mixtures that contain 1-alcohols with a similar number of carbon atoms, three schemes including the Rough Hard-Sphere model, the McAllister model, and UNIFAC-VISCO were demonstrated to be able to reproduce the mixture viscosity with an average deviation of 5%. For highly asymmetrical mixtures without the presence of small molecules, only McAllister-type model successfully reproduced the experimental values. The prediction done by the Rough Hard-Sphere model on the basis of using simple mixing rules for characteristic parameters indicated that this model should be further modified to improve its predictive capability.

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Dec 31, 2023
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Binh, N. T. “Performance of Predictive Approaches for the Viscosity of Binary Liquid Mixtures of 1-Alcohols”. Tạp Chí Khoa học Và Công nghệ - Đại học Đà Nẵng, vol 21, số p.h 12.1, Tháng Chạp 2023, tr 51-56, doi:10.31130/ud-jst.2023.527E.

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