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

Author:

Gutiérrez Suárez Jairo Andrés1ORCID,Galeano Urueña Carlos Humberto2ORCID,Gómez Mejía Alexánder1ORCID

Affiliation:

1. Grupo 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, Colombia

2. Grupo 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, Colombia

Abstract

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.

Funder

COLCIENCIAS

Publisher

MDPI AG

Subject

General Energy,General Engineering,General Chemical Engineering

Reference43 articles.

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2. Sommerfeld, M. (2023, September 26). Modelling Requirements for CFD Calculations of Spray Dryers. Available online: https://eventos.abcm.org.br/jem2015/KEYNOTES/K03_PRESENTATION.PDF.

3. Kieviet, F. (1997). Modelling Quality in Spray Drying. [Ph.D. Thesis, Eindhoven University of Technology].

4. Modeling and scaling up of industrial spray dryers: A review;Zbicinski;J. Chem. Eng. Jpn.,2017

5. Air flow, temperature and humidity patterns in a co-current spray dryer: Modelling and measurements;Kieviet;Dry. Technol.,1997

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