Unsteady RANS and detached eddy simulation of the multiphase flow in a co-current spray drying

Gimbun, Jolius; Muhammad, Noor; Law, Woon Phui

doi:10.1016/j.cjche.2015.05.007

Cited by 9 publications

(3 citation statements)

References 15 publications

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“…Recent studies show that this model can be employed to simulate the turbulent flow and mixing processes in stirred tanks . Besides, many other flow phenomena can also be simulated with this model, e.g., flow in a co‐current spray‐drying chamber and flow in a multi‐inlet vortex reactor .…”

Section: Introductionmentioning

confidence: 99%

Free‐Surface Turbulent Flow in an Eccentric Stirred Tank

Yang

Zhou

Zhang³

2017

Chem Eng & Technol

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This work aims at a reliable prediction of the flow dynamics in stirred tanks. The focus is on the free‐surface turbulent flow in an eccentric stirred tank by using the combination of detached‐eddy simulation and volume of fluid model. The flow field, profiles of the free surface, mean velocities, and the macroinstability phenomenon were explored and compared with the available experimental data. A reasonable representation of the free‐surface hydrodynamics was achieved. The findings indicate that the model and simulation strategies presented here can be used with sufficient confidence to predict the free‐surface hydrodynamics in stirred tanks.

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Section: Introductionmentioning

confidence: 99%

Free‐Surface Turbulent Flow in an Eccentric Stirred Tank

Yang

Zhou

Zhang³

2017

Chem Eng & Technol

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“…In previous studies, simulation times vary widely, making it difficult to determine whether conditions for developed flows were achieved or whether run times were selected under computational constraints. Examples of such simulation times reported in pilot-and semi-industrial-size chamber simulations vary between 10 s in Fletcher and Langrish [14], Gimbun et al [17], 20 s in Benavides-Morán et al [18], 90 s to 180 s in Jongsma et al [13], 190 s in Jin and Chen [12], 197 s in Saleh and Nahi Saleh [19], and up to 280 s in Langrish et al [11]. Computational costs become even more relevant for industrial-scale simulations with atomization of liquids, where parametrization and process optimization require running numerous simulation cases.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Mesh Refinement Strategies for Cost-Effective Eddy-Resolving Transient Simulations of Spray Dryers

Gutiérrez Suárez,

Galeano Urueña,

Gómez Mejía

2023

ChemEngineering

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The use of adaptive meshing strategies to perform cost-effective transient simulations of spray drying processes is evaluated. These simulations are often computationally expensive, given the large differences between the characteristic times of the central jet and those of the unsteady flow developed at its periphery. Managing the computational cost through the control of the grid resolution by regions is inadequate in many of these applications since the grid resolution requirements change dynamically within the domain. These conditions are related to the unsteady nature of the flow in both the central jet and the flow recirculation zones. Therefore, the application of adaptive mesh refinement (AMR) strategies is recommended. In this paper, general AMR criteria based on relative errors are evaluated by testing three mesh adaptation criteria: velocity gradient, pressure gradient, and vorticity. This evaluation is performed using a low-cost turbulence model with eddy resolution (DDES) in two different types of drying chambers, in which experimental measurements are available. The use of AMR exerts appreciable effects on decreasing computational costs and contributes to the capture of large eddies in critical regions. The present approach provides an appropriate balance between solution accuracy and computational cost. By using a correct AMR configuration, it is possible to obtain results similar to those obtained on a fixed grid but reducing the computational costs by 3 to 5 times.

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“…When the grids are made coarser, the portion of the turbulence spectrum resolved by these models is reduced, potentially affecting the accuracy of the results. Although DES models have been previously used in simulations of spray dryers, apparently yielding better results than unsteady-RANS [26,27], these studies were limited to mean velocity data. The importance of resolving turbulence in spray drying simulations was remarked by Fletcher and Langrish [13] using a SAS model, although no validation was performed.…”

Section: Introductionmentioning

confidence: 99%

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

2021

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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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Unsteady RANS and detached eddy simulation of the multiphase flow in a co-current spray drying

Cited by 9 publications

References 15 publications

Free‐Surface Turbulent Flow in an Eccentric Stirred Tank

Free‐Surface Turbulent Flow in an Eccentric Stirred Tank

Adaptive Mesh Refinement Strategies for Cost-Effective Eddy-Resolving Transient Simulations of Spray Dryers

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

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