2019
DOI: 10.1080/10618562.2019.1606421
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Efficient preprocessing of complex geometries for CFD simulations

Abstract: Preprocessing remains one the main bottlenecks in the Computational Fluid Dynamics (CFD) simulations of flows involving complex geometries as advances in the algorithm development, turbulence modeling and parallel computing are made. To this end, two approaches are presented here to efficiently deal with complex geometries in order to reduce the preprocessing time and manual effort. First, a hybrid blocking approach, combining the medial axis based method with level set iso-surface is presented to aid the bloc… Show more

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Cited by 7 publications
(4 citation statements)
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“…Navier-Stokes equations are a series of partial differential equations describing the motion of fluids, taking into account fluid viscosity, density, and pressure. This method is often used as a benchmark although it is sensitive to the meshing quality and grid simplifications that are inevitable for intricate geometries [28] . The relatively new Lattice Boltzmann method appears to be a promising approach for modelling fluid flow in porous media.…”
Section: Introductionmentioning
confidence: 99%
“…Navier-Stokes equations are a series of partial differential equations describing the motion of fluids, taking into account fluid viscosity, density, and pressure. This method is often used as a benchmark although it is sensitive to the meshing quality and grid simplifications that are inevitable for intricate geometries [28] . The relatively new Lattice Boltzmann method appears to be a promising approach for modelling fluid flow in porous media.…”
Section: Introductionmentioning
confidence: 99%
“…Each process is a significant factor in determining the accuracy of CFD simulation results. Moreover, pre-processing is the most time-consuming process for flow simulation [6]. Therefore, it is necessary to design the appropriate CFD model.…”
Section: Introductionmentioning
confidence: 99%
“…Hence, it is necessary to improve grid quality through geometry simplification [23]. However, geometry simplification takes a considerable amount of time because it entails much manual work [6]. Grid optimization also requires considerable trial and error to improve grid quality, and therefore, is a time-consuming process.…”
Section: Introductionmentioning
confidence: 99%
“…As the fine features and complexity of the geometry adversely affect the mesh design, a geometry simplification is commonly used as a preprocessing step to improve the mesh quality of the model [10]. Among the numerical analysis processes, the simplification of a complex geometry requires a great deal of manual work and is time-consuming [11]. In addition, the geometry simplification needs to be repeated manually until the target accuracy is achieved.…”
Section: Introductionmentioning
confidence: 99%