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Emulsification Characteristics Using a Dynamic Woven Metal Microscreen Membrane.

Rana Sabouni1,2, Hassan G Gomaa3, Jiangshan Liu4

  • 1Chemical and Biochemical Engineering Department, Western University, London, ON N6A 5B9, Canada. rasabouni@uwo.ca.

Membranes
|June 23, 2016
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Summary

This study introduces a novel oscillatory emulsification system using a woven metal microscreen (WMMS) to create oil-in-water emulsions. Increasing oscillation frequency and amplitude effectively reduces droplet size for stable emulsions.

Keywords:
emulsificationmembraneoscillatory motion

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Area of Science:

  • Materials Science
  • Chemical Engineering
  • Colloid Science

Background:

  • Emulsion production is crucial in various industries.
  • Controlling emulsion properties like droplet size is essential for product performance.
  • Existing emulsification methods often require complex setups or expensive materials.

Purpose of the Study:

  • To investigate an oscillatory emulsification system for producing oil-in-water emulsions.
  • To explore the use of a low-cost woven metal microscreen (WMMS) as a key component.
  • To determine the influence of oscillation parameters on emulsion characteristics.

Main Methods:

  • Utilized a custom-built oscillatory emulsification system with independent control of frequency and amplitude.
  • Produced both surfactant-stabilized and particle-stabilized emulsions.
  • Analyzed droplet size and distribution using microscopy and potentially other characterization techniques.

Main Results:

  • Average emulsion droplet size decreased with increased oscillation frequency and amplitude.
  • Bi-surfactants in both phases lowered interfacial tension, leading to smaller droplets in surfactant-stabilized emulsions.
  • Particle properties and system hydrodynamics influenced droplet size and stability in particle-stabilized emulsions.

Conclusions:

  • The oscillatory emulsification system offers tunable control over emulsion properties.
  • Woven metal microscreens (WMMS) provide a cost-effective solution for emulsification.
  • A torque balance model can predict average droplet size in particle-stabilized emulsions under specific conditions.