Low-Cost Eddy-Resolving Simulation in the Near-Field of an Annular Swirling Jet for Spray Drying Applications

Spray drying is one of many industrial applications that use annular swirling jets. For this particular application, the flow characteristics in the near-field of the jet are fundamental to obtaining high-quality dried products. In this article, an annular swirling jet configuration is numerically s...

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Main Authors: Jairo Andrés Gutiérrez Suárez, Alexánder Gómez Mejía, Carlos Humberto Galeano Urueña
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:ChemEngineering
Subjects:
Online Access:https://www.mdpi.com/2305-7084/5/4/80
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author Jairo Andrés Gutiérrez Suárez
Alexánder Gómez Mejía
Carlos Humberto Galeano Urueña
author_facet Jairo Andrés Gutiérrez Suárez
Alexánder Gómez Mejía
Carlos Humberto Galeano Urueña
author_sort Jairo Andrés Gutiérrez Suárez
collection DOAJ
description Spray drying is one of many industrial applications that use annular swirling jets. For this particular application, the flow characteristics in the near-field of the jet are fundamental to obtaining high-quality dried products. In this article, an annular swirling jet configuration is numerically studied using three low-cost eddy-resolving turbulence methods: detached-eddy simulation (DES), delayed-DES (DDES) and scale-adaptive simulation (SAS). To focus in industrial applicability, very coarse grids are used. The individual performance of these models is assessed through a comparison with laser-Doppler anemometry (LDA) measurements and large-eddy simulation (LES) data from available studies. Results show that all the three turbulence models are suitable for performing industrial cost-effective simulations, capable of reproducing LES results of mean velocities and first-order turbulence statistics at a fraction of the computational cost. Differences in the results of the evaluated models were minor; however, the simulation with DDES still provided a better reproduction of experimental results, especially in the very-near field of the jet, as it enforced RANS behavior near the inlet walls and a better transition from modeled to resolved scales.
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spelling doaj.art-9fe8831e519948d486541bada2a7f0de2023-11-23T07:40:42ZengMDPI AGChemEngineering2305-70842021-11-01548010.3390/chemengineering5040080Low-Cost Eddy-Resolving Simulation in the Near-Field of an Annular Swirling Jet for Spray Drying ApplicationsJairo Andrés Gutiérrez Suárez0Alexánder Gómez Mejía1Carlos Humberto Galeano Urueña2Grupo de Investigación en Biomasa y Optimización Térmica de Procesos, Departamento de Ingeniería Mecánica y Mecatrónica, Facultad de Ingeniería, Universidad Nacional de Colombia—Sede Bogotá, Cra #45 26-85, Bogotá 111321, ColombiaGrupo de Investigación en Biomasa y Optimización Térmica de Procesos, Departamento de Ingeniería Mecánica y Mecatrónica, Facultad de Ingeniería, Universidad Nacional de Colombia—Sede Bogotá, Cra #45 26-85, Bogotá 111321, ColombiaGrupo de Modelado y Métodos Numéricos en Ingeniería, Departamento de Ingeniería Mecánica y Mecatrónica, Facultad de Ingeniería, Universidad Nacional de Colombia—Sede Bogotá, Cra 45 #26-85, Bogotá 111321, ColombiaSpray drying is one of many industrial applications that use annular swirling jets. For this particular application, the flow characteristics in the near-field of the jet are fundamental to obtaining high-quality dried products. In this article, an annular swirling jet configuration is numerically studied using three low-cost eddy-resolving turbulence methods: detached-eddy simulation (DES), delayed-DES (DDES) and scale-adaptive simulation (SAS). To focus in industrial applicability, very coarse grids are used. The individual performance of these models is assessed through a comparison with laser-Doppler anemometry (LDA) measurements and large-eddy simulation (LES) data from available studies. Results show that all the three turbulence models are suitable for performing industrial cost-effective simulations, capable of reproducing LES results of mean velocities and first-order turbulence statistics at a fraction of the computational cost. Differences in the results of the evaluated models were minor; however, the simulation with DDES still provided a better reproduction of experimental results, especially in the very-near field of the jet, as it enforced RANS behavior near the inlet walls and a better transition from modeled to resolved scales.https://www.mdpi.com/2305-7084/5/4/80detached-eddy simulationscale-adaptive simulationcomputational fluid dynamicsannular swirling jetspray drying
spellingShingle Jairo Andrés Gutiérrez Suárez
Alexánder Gómez Mejía
Carlos Humberto Galeano Urueña
Low-Cost Eddy-Resolving Simulation in the Near-Field of an Annular Swirling Jet for Spray Drying Applications
ChemEngineering
detached-eddy simulation
scale-adaptive simulation
computational fluid dynamics
annular swirling jet
spray drying
title Low-Cost Eddy-Resolving Simulation in the Near-Field of an Annular Swirling Jet for Spray Drying Applications
title_full Low-Cost Eddy-Resolving Simulation in the Near-Field of an Annular Swirling Jet for Spray Drying Applications
title_fullStr Low-Cost Eddy-Resolving Simulation in the Near-Field of an Annular Swirling Jet for Spray Drying Applications
title_full_unstemmed Low-Cost Eddy-Resolving Simulation in the Near-Field of an Annular Swirling Jet for Spray Drying Applications
title_short Low-Cost Eddy-Resolving Simulation in the Near-Field of an Annular Swirling Jet for Spray Drying Applications
title_sort low cost eddy resolving simulation in the near field of an annular swirling jet for spray drying applications
topic detached-eddy simulation
scale-adaptive simulation
computational fluid dynamics
annular swirling jet
spray drying
url https://www.mdpi.com/2305-7084/5/4/80
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