| Manufacturing industry is not only the basic industry of national economy,but also the pillar industry.It is an important symbol of a country’s economic strength and competitiveness.Intelligent,digital manufacturing is the use of advanced manufacturing technology and digital technology for the entire life cycle of the product,to achieve product design and functional simulation.Model-Based Definition(MBD)technology is the mainstream model of today’s digital design.Process knowledge expression has become a new requirement for the construction and planning of digital design models to intelligent process information models.The establishment of a three-dimensional MBD process model is the basis for modern three-dimensional digital design and plays a key role in the development of the machinery industry.In order to realize the rapid establishment of 3D design model to process model,this thesis uses UG platform,secondary development technology and MBD design model as the single data source to create and develop the 3D process model based on process path planning.The main research contents of the thesis are as follows:Firstly,the composition of the graph-based manufacturing feature association model is introduced in detail.And the modeling method is introduced.The positional relationship between the model feature surfaces is inferred from the relationship between the 3D annotation information and the manufacturing feature attribute adjacency graph,the positional relationship graph is constructed,and then the relationship between the high-level manufacturing features is extracted from the positional relationship graph by the decision method,and the manufacturing feature association relationship model is created to prepare for the subsequent process path planning.Secondly,the manufacturing feature association graph is traversed,and the sequence coefficients of the manufacturing features are calculated from the relationship between the manufacturing features.At the same time,according to the relevant information of the manufacturing characteristics,the processing plan and manufacturing resources are determined,thereby completing the acquisition of the processing meta information.The sequence coefficient of the processing element is determined according to the manufacturing characteristic coefficient of the processing element and its standard processing sequence,and the creation of the improved constraint matrix is completed by combining the combination constraint rules.By improving the constraint matrix,individuals with higher processing order constraints and higher sequence combination coefficients are obtained as initial populations.Using the selected initial population as input information,the calculation based on the elite retention genetic algorithm is performed,and the individual with the highest fitness and conforming to the processing rule is selected,which is the optimal processing sequence,thereby completing the process path planning.Finally,the UG secondary development technology is applied to the development and verification of the proposed method,and the process path planning module and process model creation module are developed.The feasibility of each module is verified by an example. |
