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

• Published in: ChemEngineering Vol. 7; no. 5; p. 100
• Main Authors: Gutiérrez Suárez, Jairo Andrés, Galeano Urueña, Carlos Humberto, Gómez Mejía, Alexánder
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-10-2023
• Subjects: Adaptation; adaptive mesh refinement; Chemical engineering; Computational efficiency; computational fluid dynamics; Computing costs; Costs; Criteria; detached eddy simulation; Driers; Economic aspects; Finite element method; Grid refinement (mathematics); Simulation; Simulation methods; Spray drying; Technology application; transient simulation; turbulence; Turbulence models; Unsteady flow; Velocity; Velocity gradient; Vortices; Vorticity; Washers & dryers; Colombia
• DOI: 10.3390/chemengineering7050100
• EISSN: 2305-7084

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.