Knowledge Based Simulation Pretreatment Modeling Technology Of Complicated Product Dynamics And Its Application

Complex products are usually complex and big system, often are composed by thousands of parts and subsystems, its composition is complex, its functions is complex and its behavior is complex. Building the dynamics simulation pretreatment model to analysis of the dynamics performance, and thus to optimize product quality is an important way to develop the complex products. Currently, the dynamic models of the complex product are mainly from the modeling module of kinetic analysis software, or exported via a dedicated interface from the design geometry model. These methods are not only less efficient, and likely to lose the kinetic information of the model. To solve the above problem, this paper targets at high-speed train, studies the key technologies of the pre-treatment model building for the dynamics simulation of complex products, and develops the modules of the dynamic motion simulation system in the CATIA system with CAA secondary development.The first chapter summarizes the key technologies on the research of dynamics simulation pre-treatment model building of the complex products from domestic and abroad, including the topology information extraction of multi-body dynamics model, the building of the dynamics simulation simplified model and the building of the three-dimensional model of high-speed train tracks. The chapter also discusses the existing problems of the above techniques, introduces the subject source, content, and the structure of this article.The second chapter presents the method of the topology information extraction of the complex product multi-body system based on the knowledge navigation. The Component level information and assembly constraints information of the high-speed train system are described through the knowledge rules in the form of a graph, and then the corresponding information are obtained by traversing its associated matrix. Finally, force knowledge rules of the high-speed train system are established to extract the force information, the discriminating point of force is identified by the connected surface of the parts. Then the topology information of high-speed train system are completely reconstructed in the pretreatment model.The third chapter introduces the pretreatment model building technology of the complex products based on the recognition of structural characteristics. The high-speed train product is decomposed by the knowledge of the model structure level, the simplified model library of the rail body, bogie and wheel is built, which are the main object. By the similarity calculation of the complex model feature, parts are matched. At last, the structure size information and pose information is mapped to the simplified model, thereby the consistency of the model is maintained.The fourth chapter presents the modeling techniques of rail line based on the real track information, the required parameters of track line modeling are extracted from the real track information. The transition curve is described by cubic parabola, and the rail line model is built in CATIA through the solution of position and orientation elements of the circular curve and circle line, the last, the wheel-rail train coordinate system is built and the information date of parts is calculated.The fifth chapter introduces the development of dynamic motion simulation of product system module. The topology information is extracted from the high-speed train system through the CAA secondary developing technology in the CATIA design platform. By integrating the above data, the dynamics simulation pre-treatment model of train is built. The train moves on the rail line through the motion simulation module, and the information data of the parts is output real-time.The sixth chapter summarizes the achievements of this research, and points out the outlook for the future research.