Fluid flow simulation over complex shape objects using image processing to achieve mesh generation. (2017)

• Record Type: Journal Article
• Authors: Lassoued, Khaoula; Sophy, Tonino; Jouanguy, Julien; Le-Moyne, Luis
• Is Part Of: International journal of simulation and process modelling. Volume 12:Number 1(2017)
• Page Start: 54
• Page End: 68
• Publication Date: 2017
• Subjects: fluid flow simulation -- 2D mesh -- object recognition -- complex shapes -- vehicle flow -- circular cylinders -- square cylinders -- airfoils -- image processing -- OpenCv -- mesh generation -- Gerris -- digtal images -- digital cameras -- smartphones -- image reconstruction -- CFD -- computational fluid dynamics; Management -- Computer simulation -- Periodicals; Mathematical models -- Periodicals; Operations research -- Periodicals; Simulation methods -- Periodicals; 003.05
• Languages: English
• ISSNs: 1740-2123

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.