Knowledge Driven Intelligent Design of Drive Axle Components
Addressing the current issues of complex design process of drive axle components and poor reuse of design knowledge and user characteristics,a knowledge system process-driven intelligent design method was proposed.First,the design knowledge of the drive axle was collated and analyzed,a complete knowledge process was constructed and a process customization system was applied for visual custom expression.Then,feature development was carried out according to the feature composition of each component,and user-oriented intelligent parametric features were created based on the secondary development technology.Additionally,a parametric skeleton model was constructed according to the position and size relationship between each component.Finally,the system outputted size parameters to drive the features and skeleton model,and feature modeling was performed based on the positioning benchmark of the skeleton model,achieving rapid and intelligent design of the 3D model.Research on the design of non-through drive axles has shown that the use of a knowledge-driven process customization system combining a skeleton model with intelligent parametric features constructed by secondary development can clearly indicate the design process,significantly shorten the design cycle and modelling time,and improve design efficiency.
knowledge base engineeringprocess customizationparametric designsecondary development