Shear viscosity of liquid mixtures: mass dependence
1Department of Physics, Panjab University, Chandigarh 160014, India.
Summary
This study derives sum rules for fluid mixtures, finding good agreement with simulations for Ar-Kr shear viscosity. Mass differences significantly impact viscosity, deviating from ideal models at higher mass ratios.
Area of Science:
- Fluid dynamics
- Statistical mechanics
- Computational physics
Background:
- Understanding the shear viscosity of multi-component fluid mixtures is crucial for various physical and chemical processes.
- Existing models often simplify the complex interactions and mass differences present in such systems.
Purpose of the Study:
- To derive sum rules for the transverse stress autocorrelation function in two-component fluids.
- To investigate the shear viscosity of Argon-Krypton (Ar-Kr) and isotopic mixtures using these sum rules and Mori's memory function formalism.
- To analyze the mass dependence of shear viscosity and its deviation from empirical models.
Main Methods:
- Derivation of zeroth, second, and fourth sum rules for the transverse stress autocorrelation function.
- Application of Mori's memory function formalism.
- Comparison of theoretical results with computer simulation data for Ar-Kr mixtures.
Main Results:
- Theoretical expressions for sum rules were successfully derived.
- The derived sum rules and formalism showed good agreement with computer simulations for Ar-Kr shear viscosity.
- Significant deviations from ideal linear models were observed due to mass differences between fluid components.
- Empirical models failed to explain shear viscosity at higher mass ratios.
Conclusions:
- The derived sum rules provide a valuable tool for studying fluid mixture properties.
- Mass differences play a critical role in determining shear viscosity, even in mixtures of similar elements.
- Advanced theoretical or computational approaches are needed to accurately model shear viscosity in mixtures with significant mass disparities.
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