Abstract: With the increasing complexity of the problems to be solved in the field of structural mechanics, the high-quality mesh generation of multi-scale component structures plays an important role in the computational accuracy of the numerical simulation. This paper proposes a method for grid generation automation based on feature recognition. In this method, the geometric features of different scale of complex multi-scale component structures are identified, the grid size values of related regions are set according to their different scale sizes. The delaunay triangulation algorithm or advancing front technique are used to generate grid elements，which can reflect the geometric characteristics of different scale, and then the surrounding areas of small scale are encrypted. Finally, the meshes of different scales are connected by geometric exponential control function to form the whole meshing model of complex multi-scale component sructures. The test results of two geometric models show that the overall grid quality generated by this method is good, the mesh transition of different scales is reasonable transition, and the automation degree is high.

Key words: complex multi-scale component structures, feature recognition, grid generation automation, geometrically exponential function