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Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

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Published on: June 12, 2015

Dynamic thermodiffusion model for binary liquid mixtures.

Morteza Eslamian¹, M Ziad Saghir

¹Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, Ontario, Canada M5B 2K3.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|August 8, 2009

Summary

This summary is machine-generated.

We developed a new dynamic model for thermo-diffusion in liquid mixtures, correlating heat of transport with molecular properties and activation energy. This model offers improved predictions compared to existing methods.

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Area of Science:

Physical Chemistry
Thermodynamics
Chemical Engineering

Background:

Thermo-diffusion, the movement of heat and mass in response to a temperature gradient, is crucial in various chemical processes.
Existing models often rely on macroscopic properties, potentially overlooking molecular-level contributions to thermo-diffusion.

Purpose of the Study:

To develop a dynamic model for thermo-diffusion in binary nonassociating liquid mixtures.
To propose new expressions for the thermal diffusion factor based on molecular parameters and activation energy.
To compare the predictive capabilities of the new model against established models.

Main Methods:

Utilized a nonequilibrium thermodynamics approach to develop a dynamic thermo-diffusion model.
Correlated the net heat of transport with parameters like temperature, pressure, molecular size/shape, and component mobility.
Related the net heat of transport to viscosity and activation energy for viscous flow, referencing Eyring's reaction-rate theory.
Evaluated the model against experimental data for binary mixtures, comparing it with Haase-Kemper and Drickamer-Firoozabadi models.

Main Results:

The developed model accounts for molecular properties and activation energy in simulating thermo-diffusion.
The model shows improved prediction accuracy for experimental data compared to existing models.
The model is noted for its simplicity, ease of use, and physical justification.

Conclusions:

The new dynamic model provides a physically grounded and effective approach to modeling thermo-diffusion in liquid mixtures.
The correlation of heat of transport with activation energy offers a novel perspective on the underlying mechanisms.
The model's superior performance suggests its potential utility in optimizing chemical processes involving thermo-diffusion.