知识驱动的驱动桥零部件智能设计  

Knowledge Driven Intelligent Design of Drive Axle Components

作　　者：刘刚 周秋忠[1] LIU Gang;ZHOU Qiuzhong(School of Automobile and Transportation,Shenyang Ligong University,Shenyang 110159,China)

机构地区：[1]沈阳理工大学汽车与交通学院,沈阳110159

出　　处：《车辆与动力技术》2024年第2期27-33,39,共8页Vehicle & Power Technology

基　　金：辽宁省应用基础研究计划项目(2022 JH2/101300254)。

摘　　要：针对当前驱动桥零部件设计过程复杂、设计知识与用户特征重用较差的问题,提出一种基于知识系统流程驱动的智能设计方法.首先,整理分析驱动桥的设计知识,构建完整的知识流程并应用流程定制系统进行可视化定制表达;然后,根据各零件的特征组成进行特征开发,基于二次开发技术创建面向用户的智能参数化特征;并根据各零件之间的位置与尺寸关系,构建参数化骨架模型;最后,以系统输出的尺寸参数驱动特征和骨架模型,根据骨架模型的定位基准进行特征建模,实现三维模型的快速智能化设计.对非贯通式驱动桥的设计进行研究,实践表明,采用知识驱动的流程定制系统结合骨架模型与二次开发构建的智能参数化特征,能够清晰地表明设计过程,大量缩短设计周期与建模时间,提高设计效率.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.

关 键 词：知识工程 流程定制 参数化设计 二次开发 

分 类 号：TH132.421[机械工程—机械制造及自动化] TP182[自动化与计算机技术—控制理论与控制工程]