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Combined Size and Density Fractionation of Soils for Investigations of Organo-Mineral Interactions
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Phoresis in fluids.

Howard Brenner1

  • 1Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA. hbrenner@mit.edu

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|February 7, 2012
PubMed
Summary
This summary is machine-generated.

This study unifies phoretic phenomena, offering simple formulas for particle migration in fluids driven by temperature, pressure, or density gradients. The theory addresses non-classical fluid behavior at surfaces.

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Area of Science:

  • Physics
  • Fluid Mechanics
  • Physical Chemistry

Background:

  • Phoretic phenomena describe particle migration in fluids due to gradients.
  • Classical fluid dynamics often assumes no-slip boundary conditions at surfaces.
  • Previous work explored fluid slip at solid surfaces, a departure from classical assumptions.

Purpose of the Study:

  • To develop a unified theoretical framework for phoretic phenomena in single-component fluids.
  • To provide simple formulas for calculating phoretic velocities under various driving gradients.
  • To extend understanding of particle migration beyond classical fluid mechanics.

Main Methods:

  • Development of a theoretical model based on fluid slip at surfaces.
  • Derivation of analytical formulas for phoretic velocities.
  • Integration of thermophoresis, barophoresis, and pycnophoresis into a single theory.

Main Results:

  • A unified theory for phoretic migration of inert particles in single-component fluids.
  • Formulas applicable to migration driven by temperature, pressure, density gradients, or combinations.
  • The theory accounts for non-classical fluid behavior, specifically fluid slip.

Conclusions:

  • The proposed theory provides a comprehensive explanation for various phoretic phenomena.
  • The derived formulas offer a simplified approach to predicting particle migration.
  • The model is supported by experimental and existing data, validating its applicability.