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Pressure drop and optimization meta-models for arbitrary low-height pleated filter shapes and flowrates
This study delivers equations useful for low-height pleated fibrous filter design: two pressure drop equations and one set of optimum design equations applicable to arbitrary pleated filter shapes and flowrates. The pressure drop equations were derived to predict the pressure loss of the pleated fil...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Mechanical Engineers
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556855/ http://dx.doi.org/10.1007/s12206-021-1019-9 |
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author | Choi, Paul Santos, Christian Ariane Kim, Min-Kun Jung, Hyunsook Hong, Do-Young Koo, Junemo |
author_facet | Choi, Paul Santos, Christian Ariane Kim, Min-Kun Jung, Hyunsook Hong, Do-Young Koo, Junemo |
author_sort | Choi, Paul |
collection | PubMed |
description | This study delivers equations useful for low-height pleated fibrous filter design: two pressure drop equations and one set of optimum design equations applicable to arbitrary pleated filter shapes and flowrates. The pressure drop equations were derived to predict the pressure loss of the pleated filter. They were made through regression analysis with a total of 1024 CFD data. The set of optimum design equations was developed to find the optimum filter shape minimizing pressure drop. All equations were validated through the 8-fold cross-validation method and were accurate enough to replace the CFD simulations. Additionally, novel contour plots were made to describe how optimum filter geometry changes due to flowrate, height, and media permeability. The delivered equations were applied to an actual filter design problem and verified with additional CFD simulations. This study allows filter designers to predict the pressure loss and to design the optimum filter shape without any simulations. |
format | Online Article Text |
id | pubmed-8556855 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Korean Society of Mechanical Engineers |
record_format | MEDLINE/PubMed |
spelling | pubmed-85568552021-11-01 Pressure drop and optimization meta-models for arbitrary low-height pleated filter shapes and flowrates Choi, Paul Santos, Christian Ariane Kim, Min-Kun Jung, Hyunsook Hong, Do-Young Koo, Junemo J Mech Sci Technol Original Article This study delivers equations useful for low-height pleated fibrous filter design: two pressure drop equations and one set of optimum design equations applicable to arbitrary pleated filter shapes and flowrates. The pressure drop equations were derived to predict the pressure loss of the pleated filter. They were made through regression analysis with a total of 1024 CFD data. The set of optimum design equations was developed to find the optimum filter shape minimizing pressure drop. All equations were validated through the 8-fold cross-validation method and were accurate enough to replace the CFD simulations. Additionally, novel contour plots were made to describe how optimum filter geometry changes due to flowrate, height, and media permeability. The delivered equations were applied to an actual filter design problem and verified with additional CFD simulations. This study allows filter designers to predict the pressure loss and to design the optimum filter shape without any simulations. Korean Society of Mechanical Engineers 2021-10-31 2021 /pmc/articles/PMC8556855/ http://dx.doi.org/10.1007/s12206-021-1019-9 Text en © The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Choi, Paul Santos, Christian Ariane Kim, Min-Kun Jung, Hyunsook Hong, Do-Young Koo, Junemo Pressure drop and optimization meta-models for arbitrary low-height pleated filter shapes and flowrates |
title | Pressure drop and optimization meta-models for arbitrary low-height pleated filter shapes and flowrates |
title_full | Pressure drop and optimization meta-models for arbitrary low-height pleated filter shapes and flowrates |
title_fullStr | Pressure drop and optimization meta-models for arbitrary low-height pleated filter shapes and flowrates |
title_full_unstemmed | Pressure drop and optimization meta-models for arbitrary low-height pleated filter shapes and flowrates |
title_short | Pressure drop and optimization meta-models for arbitrary low-height pleated filter shapes and flowrates |
title_sort | pressure drop and optimization meta-models for arbitrary low-height pleated filter shapes and flowrates |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556855/ http://dx.doi.org/10.1007/s12206-021-1019-9 |
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