Development of an Aerodynamics Characteristics Simulator Using Digital Image

Abstract

The present explains the numerical prediction of the aerodynamics characteristics with the complex geometry objects defined by digital images. Numerical prediction of the aerodynamics characteristics is one of important issues in analysis of the bio-structure flow problem like the severity of sleep disorder. This study aims to presents an automatic analytical tool for evaluating the fluid properties with digital images that the hand-draw images on A4 paper. Laminar flows are considered to simulate the flow caused by the low Reynolds number in upper airway flow problem. The data arrangement of digital image such as BMP 24 bits format can be as Cartesian grid in simulation, which is to save the process of making the mesh and to identify the object boundary by using the image color. As a result, influence of the upper airway on the fluid flow with images is include this model.