Thermoosmosis of a near-critical binary fluid mixture: a general formulation and universal flow direction
Youhei Fujitani, Shunsuke Yabunaka

TL;DR
This paper develops a theoretical framework for thermoosmosis in near-critical binary fluid mixtures, deriving formulas for flow direction and magnitude based on a coarse-grained free-energy approach, extending classical results.
Contribution
It introduces a universal formulation for thermoosmosis in near-critical binary mixtures, predicting flow direction independent of component adsorption, extending previous isothermal transport models.
Findings
Flow direction is opposite to temperature gradient near the lower critical point.
Derived explicit formula for thermal force density in adsorption layers.
Predicted universal flow behavior regardless of component adsorption.
Abstract
We consider a binary fluid mixture, which lies in the one-phase region near the demixing critical point, and study its transport through a capillary tube linking two large reservoirs. We assume that short-range interactions cause preferential adsorption of one component on the tube's wall. The adsorption layer can become much thicker than the molecular size, which enables us to apply hydrodynamics based on a coarse-grained free-energy functional. For linear transport phenomena induced by gradients of the pressure, composition, and temperature along a cylindrical tube, we obtain the formulas of the Onsager coefficients to extend our previous results on isothermal transport, assuming the critical composition in the middle of each reservoir in the reference equilibrium state. Among the linear transport phenomena, we focus on thermoosmosis -- mass flow due to a temperature gradient. We…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Phase Equilibria and Thermodynamics · Advanced Mathematical Modeling in Engineering
