| dc.description.abstract | With the development of technology and the increasing complexity of model components, mold flow analysis (Mold flow analysis) has been widely used in the injection molding industry. The CAD model is converted into a solid mesh for analysis by the mold flow analysis solver. Solid meshes constructed in different ways will affect the final result of the solver analysis. Among them, although the tetrahedral mesh is suitable for models of various shapes and can be built automatically, the data such as the number of meshes and aspect ratios generated are more expensive than those of structured meshes such as hexahedral meshes. There are unfavorable factors such as difference in multiples and uneven aspect ratio, resulting in poor analysis results. Therefore, structured meshes are more suitable for mold flow analysis, but they require relatively regular blocks to be established, which makes the construction method complex and cumbersome. The main purpose of this research is to develop a feature recognition algorithm on CAD models for subsequent feature decomposition to assist in the construction of structured meshes. In feature recognition, this research mainly focuses on the development of automatic feature recogntion technology for blend faces, virtual loops and hole features.With the purposes of improving the problems of non-recognizd, misclassified and over-recognized in the past algorithms. Then, by testing more types of models, the identification technology will continue to develop downward, so that the algorithm can accurately determine the features of more multi-cases, and finally provide complete recognition data for subsequent related programs. | en_US |