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Optimization of fluid flow in membrane chromatography devices using computational fluid dynamic simulations.

Roxana Roshankhah1, Robert Pelton1, Raja Ghosh1

  • 1Department of Chemical Engineering, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4L7, Canada.

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|May 3, 2023
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Summary

Computational fluid dynamics (CFD) optimizes membrane chromatography device design for better flow uniformity and separation efficiency. CFD analysis identifies key design factors, improving performance prediction for devices like laterally-fed membrane chromatography (LFMC).

Keywords:
Computational fluid dynamicsLaterally-fed membrane chromatographyMembrane chromatographyOptimizationSimulation

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Area of Science:

  • Biotechnology
  • Chemical Engineering
  • Separation Science

Background:

  • Flow uniformity is crucial for effective membrane chromatography and separation efficiency.
  • Device design significantly influences flow patterns and overall performance.
  • Conventional devices often exhibit poor performance due to high solute dispersion.

Purpose of the Study:

  • To evaluate computational fluid dynamics (CFD) as a tool for optimizing membrane chromatography device design.
  • To compare the fluidic attributes of conventional and novel membrane chromatography devices.
  • To identify design factors impacting flow uniformity and separation performance.

Main Methods:

  • Computational fluid dynamics (CFD) simulations were employed.
  • Pulse tracer solute dispersion was used as a metric for flow uniformity.
  • CFD was used to analyze laterally-fed membrane chromatography (LFMC) device variations, including z²-LFMC, examining membrane aspect ratio and channel dimensions.

Main Results:

  • CFD effectively predicted and compared the flow uniformity of different membrane chromatography device designs.
  • Laterally-fed membrane chromatography (LFMC) devices showed potential for improved flow uniformity compared to conventional designs.
  • Key factors like membrane aspect ratio and channel dimensions were identified as influential in z²-LFMC performance.

Conclusions:

  • CFD is a valuable, cost-effective tool for the preliminary optimization and performance prediction of membrane chromatography devices.
  • Understanding flow dynamics through CFD can lead to improved device designs with enhanced separation efficiency.
  • The study highlights CFD's capability to guide the development of next-generation membrane chromatography systems.