Fluid flow simulation over complex shape objects using image processing to achieve mesh generation Online publication date: Sun, 12-Mar-2017
by Khaoula Lassoued; Tonino Sophy; Julien Jouanguy; Luis Le-Moyne
International Journal of Simulation and Process Modelling (IJSPM), Vol. 12, No. 1, 2017
Abstract: In the domain of flow simulation, avoiding the manual conception and numerisation of the domain can lead to the saving of a certain amount of time. Some processes, using heavy devices like LASER metrology, allow the numerical reconstruction of a real object. The aim of this paper is to propose a more simple tool requiring a commercial digital camera (like a smartphone), to transform a digital picture into a ready to use mesh. Besides simplicity, the tool has to be precise enough to bring accurate simulation results. Then, image processing object detection and reconstruction are used to generate a 2D mesh that can be integrated in a finite volume transient CFD simulation. Cars and airfoils are chosen as objects and the DNS fluid flow Gerris solver performs the simulations. After a validation on a circular shape object, simulations, conducted at different Reynolds number, provide accurate results plotting the Von Karman alley regime.
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