Adjoint-based topology optimization of filter structures for gas–particle systems

Conventional filters for aerosol particle deposition consist of one or more filter layers, which are either woven or composed of tangled fibers. The quality of the separation results almost exclusively from the density of the fiber arrangement. Due to the manufacturing process, compromises between s...

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Main Authors: N. Jüngling, J. Niessner
Format: Article
Language:English
Published: AIP Publishing LLC 2021-06-01
Series:AIP Advances
Online Access:http://dx.doi.org/10.1063/5.0052567
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author N. Jüngling
J. Niessner
author_facet N. Jüngling
J. Niessner
author_sort N. Jüngling
collection DOAJ
description Conventional filters for aerosol particle deposition consist of one or more filter layers, which are either woven or composed of tangled fibers. The quality of the separation results almost exclusively from the density of the fiber arrangement. Due to the manufacturing process, compromises between separation efficiency and pressure loss, which are in the opposite relationship to each other, are inevitable. The objective of this work is to develop a method for topology optimization to optimize filter structures for both higher filtration efficiency and lower pressure drop simultaneously using the adjoint method based on computation fluid dynamic simulations. The key to topology-optimized “bionic” filters is to find suitable cost functions controlling the optimization. These cost functions should take into account different separation mechanisms and pressure loss. The force coefficients for pressure and shear and the surface integrals of pressure and wall shear stress were evaluated for their contribution to the deposition as part of a combined cost function. In this work, a simple algorithm is devised to combine two opposing cost functions. First, promising results are obtained by considering solid particle separation from gas. For example, it was possible to increase the total filtration efficiency by 2% and reduce the pressure drop by 3.6% in one single deformation step.
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spelling doaj.art-7bcdf513694142b1ac9b8dc8426766502022-12-21T22:52:28ZengAIP Publishing LLCAIP Advances2158-32262021-06-01116065008065008-710.1063/5.0052567Adjoint-based topology optimization of filter structures for gas–particle systemsN. Jüngling0J. Niessner1Institute of Flow in Additively Manufactured Porous Media (ISAPS), Heilbronn University of Applied Sciences, Max-Planck-Str. 39, 74081 Heilbronn, GermanyInstitute of Flow in Additively Manufactured Porous Media (ISAPS), Heilbronn University of Applied Sciences, Max-Planck-Str. 39, 74081 Heilbronn, GermanyConventional filters for aerosol particle deposition consist of one or more filter layers, which are either woven or composed of tangled fibers. The quality of the separation results almost exclusively from the density of the fiber arrangement. Due to the manufacturing process, compromises between separation efficiency and pressure loss, which are in the opposite relationship to each other, are inevitable. The objective of this work is to develop a method for topology optimization to optimize filter structures for both higher filtration efficiency and lower pressure drop simultaneously using the adjoint method based on computation fluid dynamic simulations. The key to topology-optimized “bionic” filters is to find suitable cost functions controlling the optimization. These cost functions should take into account different separation mechanisms and pressure loss. The force coefficients for pressure and shear and the surface integrals of pressure and wall shear stress were evaluated for their contribution to the deposition as part of a combined cost function. In this work, a simple algorithm is devised to combine two opposing cost functions. First, promising results are obtained by considering solid particle separation from gas. For example, it was possible to increase the total filtration efficiency by 2% and reduce the pressure drop by 3.6% in one single deformation step.http://dx.doi.org/10.1063/5.0052567
spellingShingle N. Jüngling
J. Niessner
Adjoint-based topology optimization of filter structures for gas–particle systems
AIP Advances
title Adjoint-based topology optimization of filter structures for gas–particle systems
title_full Adjoint-based topology optimization of filter structures for gas–particle systems
title_fullStr Adjoint-based topology optimization of filter structures for gas–particle systems
title_full_unstemmed Adjoint-based topology optimization of filter structures for gas–particle systems
title_short Adjoint-based topology optimization of filter structures for gas–particle systems
title_sort adjoint based topology optimization of filter structures for gas particle systems
url http://dx.doi.org/10.1063/5.0052567
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