A computational fluid dynamics approach to predict the scale-up dimension of a water filter column

A bench-scale filter consisting of sand media was tested for hydrodynamic parameters (velocity and pressure) using ANSYS-CFX (computational fluid dynamics or CFD software) to further determine the ‘subjective minimum scale-up’ (SMS) filter dimension. The purpose of this study is to relate the hydrod...

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Main Authors: Pratik Kumar, Satinder Kaur Brar, Maximiliano Cledon
Format: Article
Language:English
Published: Elsevier 2022-05-01
Series:Case Studies in Chemical and Environmental Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666016422000238
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author Pratik Kumar
Satinder Kaur Brar
Maximiliano Cledon
author_facet Pratik Kumar
Satinder Kaur Brar
Maximiliano Cledon
author_sort Pratik Kumar
collection DOAJ
description A bench-scale filter consisting of sand media was tested for hydrodynamic parameters (velocity and pressure) using ANSYS-CFX (computational fluid dynamics or CFD software) to further determine the ‘subjective minimum scale-up’ (SMS) filter dimension. The purpose of this study is to relate the hydrodynamics property of the bench scale column and the scale-up column for a porous fluid flow using CFD to understand the scale-up limitations. The poor flow regime in bench-scale filter was observed because of a high variance in the pressure gradient as obtained for a plane perpendicular to the direction of fluid flow (orthogonal plane). The flow regime pattern was analyzed by structural modelling and in-built programming using the concept of CFD. Using CFD, a SMS filter dimension was obtained that was found free of high-pressure gradient (on orthogonal plane near the column exit) that might have incurred due to a ‘bad’ flow regime in case of the bench-scale filter. This could sort operational issues caused due to pressure-velocity parameters and would help researchers to step-up with scale-up dimension (from bench-scale) more confidently and credibly. The simulation was obtained for the scale-up reactor using the intrinsic properties to validate the model. An error of 4.1% was reported between the experimental velocity of the bench-scale filter vs simulated value from ANSYS-CFX. Also, a better plug flow condition was obtained for the scale-up column using CFD (Morill dispersion index or MDI = 3) as compared to that of bench-scale filter (MDI = 2.2).
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spelling doaj.art-c59781238ea04ad59d819d0f2e1fd8242022-12-22T02:11:02ZengElsevierCase Studies in Chemical and Environmental Engineering2666-01642022-05-015100201A computational fluid dynamics approach to predict the scale-up dimension of a water filter columnPratik Kumar0Satinder Kaur Brar1Maximiliano Cledon2Department of Civil Engineering, Indian Institute of Technology, Jammu, 181221, IndiaINRS-ETE, Université du Québec, 490, Rue de la Couronne, Québec, Canada, G1K 9A9; Department of Civil Engineering, Lassonde School of Engineering, York University, North York, Toronto, M3J 1P3, Ontario, Canada; Corresponding author. Department of Civil Engineering, Lassonde School of Engineering, York University, North York, Toronto, M3J 1P3, Ontario, Canada.CIMAS (CONICET, UnComa, Rio Negro), Güemes, 1030, San Antonio Oeste, Rio Negro, ArgentinaA bench-scale filter consisting of sand media was tested for hydrodynamic parameters (velocity and pressure) using ANSYS-CFX (computational fluid dynamics or CFD software) to further determine the ‘subjective minimum scale-up’ (SMS) filter dimension. The purpose of this study is to relate the hydrodynamics property of the bench scale column and the scale-up column for a porous fluid flow using CFD to understand the scale-up limitations. The poor flow regime in bench-scale filter was observed because of a high variance in the pressure gradient as obtained for a plane perpendicular to the direction of fluid flow (orthogonal plane). The flow regime pattern was analyzed by structural modelling and in-built programming using the concept of CFD. Using CFD, a SMS filter dimension was obtained that was found free of high-pressure gradient (on orthogonal plane near the column exit) that might have incurred due to a ‘bad’ flow regime in case of the bench-scale filter. This could sort operational issues caused due to pressure-velocity parameters and would help researchers to step-up with scale-up dimension (from bench-scale) more confidently and credibly. The simulation was obtained for the scale-up reactor using the intrinsic properties to validate the model. An error of 4.1% was reported between the experimental velocity of the bench-scale filter vs simulated value from ANSYS-CFX. Also, a better plug flow condition was obtained for the scale-up column using CFD (Morill dispersion index or MDI = 3) as compared to that of bench-scale filter (MDI = 2.2).http://www.sciencedirect.com/science/article/pii/S2666016422000238ANSYS-CFXPressure-velocityFilterSimulationFlow regime
spellingShingle Pratik Kumar
Satinder Kaur Brar
Maximiliano Cledon
A computational fluid dynamics approach to predict the scale-up dimension of a water filter column
Case Studies in Chemical and Environmental Engineering
ANSYS-CFX
Pressure-velocity
Filter
Simulation
Flow regime
title A computational fluid dynamics approach to predict the scale-up dimension of a water filter column
title_full A computational fluid dynamics approach to predict the scale-up dimension of a water filter column
title_fullStr A computational fluid dynamics approach to predict the scale-up dimension of a water filter column
title_full_unstemmed A computational fluid dynamics approach to predict the scale-up dimension of a water filter column
title_short A computational fluid dynamics approach to predict the scale-up dimension of a water filter column
title_sort computational fluid dynamics approach to predict the scale up dimension of a water filter column
topic ANSYS-CFX
Pressure-velocity
Filter
Simulation
Flow regime
url http://www.sciencedirect.com/science/article/pii/S2666016422000238
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