Designing optimally-graded depth filter media using a novel multiscale method

Constantin Geerling, Mehdi Azimian, Andreas Wiegmann, Heiko Briesen, Michael Kuhn

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Even though current manufacturing methods allow to build precisely-defined graded depth filter media, it remains unclear which local filtration properties are desirable. We, therefore, introduce a multiscale approach which links pore and continuum scale (PS and CS) to address this question. Based on data from PS simulations, local filtration performance, as described by the filter coefficient, is predicted on the CS by an optimal control solution and the obtained trajectory is translated back to the PS where it is validated. Two case studies are presented: a bidisperse fibrous medium and a granular depth filter composed of bidisperse particles. Both media are optimized to achieve a homogenous deposition of separated impurities along the filter depth. It is found that the presented method allows to reach this goal reasonably well in both cases. We claim that our method forms a good basis for further developments for which promising possibilities are highlighted.

Original languageEnglish
Article numbere16808
JournalAIChE Journal
Volume66
Issue number2
DOIs
StatePublished - 1 Feb 2020

Keywords

  • depth filtration
  • filter media
  • graded media
  • optimization
  • process systems engineering

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