| As a branch of Visualization in Scientific Computing, Computational Flow Imaging (CFI) was brought forward by George Havener. With numerical data of density, CFI can generate digital pictures similar to experimental images. One may directly compare CFI pictures with experimental photos and then validate numerical results from Computational Flow Dynamics (CFD). A combining examination of CFI images and experimental photos enables one to study complicated flow phenomena deeply and systemically.The object-oriented visualization system developed in the thesis is made up of Tool Module, Boundary Condition Module, Flow Display Module and Optical Picture Module. Every module is designed with object-oriented technique and using OpenGL. In the Optical Picture Module, the flow field on unstructured mesh is reconstructed by structured grids. Based on optical theory and the computational data of the flow field, digital optical images such as shadowgraph, schlierengraph and interferegragh are generated.This system is proved to visualize flow field efficiently. The computational optical pictures generated in this system are in good agreement with experimental photos. The colorful pictures with high resolution provide an effective way to describe the flow field quantitatively. |