Y. Yan
Ryerson University
13 Papers
56 Citations
Y. Yan is an academic researcher from Ryerson University. The author has contributed to research in topics: Thermal diffusivity & Diffusion (business). The author has an hindex of 7, co-authored 12 publications. Previous affiliations of Y. Yan include University of British Columbia.
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Papers
Influence of vibrations on thermodiffusion in binary mixture: A benchmark of numerical solutions
Valentina Shevtsova,Denis Melnikov,Jean Claude Legros,Y. Yan,Ziad Saghir,Tatyana Lyubimova,G. Sedelnikov,Bernard Roux +7 more
TL;DR: In this paper, double-diffusive and vibrational convection with the Soret effect is considered in a cubic rigid cell filled with water (90%) and isopropanol (10%), subjected to a temperature difference between opposite lateral walls.
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An improved theoretical model for thermal diffusion coefficient in liquid hydrocarbon mixtures: Comparison between experimental and numerical results.
TL;DR: The nonequilibrium thermodynamic property tau is examined and remodeled with a consideration of vapor-liquid equilibrium in binary mixtures and the new model provides a good agreement with the experimental data from this study and in the literature.
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Evaluation of Thermal Diffusion Models for Ternary Hydrocarbon Mixtures
TL;DR: In this paper, the accuracy of the thermal diffusion coefficients relies on the thermodynamic properties from equations of state, corresponding Fick's diffusion coefficients, and thermal diffusion modeling, and it is shown that the accuracy depends on both the thermal properties and the Fichter's diffusion coefficient.
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Theoretical Prediction of Thermal Diffusion in Water–Methanol, Water–Ethanol, and Water–Isopropanol Mixtures using the PC-SAFT Equation of State
Abstract: In this paper, by combining the PC-SAFT equation of state (EOS) to the thermal diffusion models for non-associating mixtures, the theoretical prediction of thermal diffusion has been carried out for associating fluid mixtures including water-methanol, water-ethanol, and water-isopropanol. At first, the parameters of the PC-SAFT for water-methanol, water-ethanol, and water-isopropanol mixtures are optimized. Then, by comparing the predictive and experimental values of density and residual partial molar enthalpy in water-methanol, water-ethanol, and water-isopropanol mixtures, we demonstrate the capability of PC-SAFT EOS to reproduce reliable thermodynamic properties in these mixtures with a low to moderate water concentration. Finally, with the thermodynamic properties from the PC-SAFT, several thermal diffusion models available in the literature are extended to binary water-alcohol mixtures including water-methanol, water-ethanol, and water-isopropanol. The Firoozabadi model combined with the PC-SAFT EOS has shown an effective capability for predicting mixtures with a low to moderate water concentration.
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Vibrational effect on thermal diffusion under different microgravity environments
TL;DR: In this article, the authors have modelled the thermal diffusion process under different microgravity environments using measured g-jitter data onboard the International Space Station (ISS) and FOTON-12.
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