【作者】 张正义；

【导师】 蔡力钢； 胡于进；

【作者基本信息】 华中科技大学 ， 机械制造及自动化， 2008， 硕士

【摘要】 根据现代制造业中提出的合格加工质量、高生产效率、低成本和减少对环境的负面影响等新的要求,将复杂零件的制造工艺分为加工方法、工艺路线和切削参数三个局部优化,然后利用全局优化来进行评价,得到最优的工艺。介绍了课题的背景、来源及目的,描述了复杂零件在工艺设计与优化过程中的难点,从理论和实践展开了基于三维模型提取工艺数据并进行工艺设计与优化的研究和探索。分析了特征技术在工艺设计中的应用,利用几何面描述复杂零件的加工特征,不仅能表达原有的特征信息,而且还能表达加工基准、定位基准等信息。以面的几何信息和制造信息作为基础数据进行工艺设计与优化,实现了基于统一数据模型的工艺设计优化及管理的目的。采用分层的优化策略将工艺优化分解为加工方法、工艺路线和加工参数三部分。首先根据加工特征类型、加工资源能力等进行加工方法的推理;然后根据推理的结果和相关的几何与制造信息形成定量的约束矩阵,并以变换装夹、变换机床等优化目标进行加工单元顺序优化,其中以矩阵表达加工单元之间的约束关系不仅改变了定性、描述性的约束性信息难以参与运算的缺点,而且具有更高的效率和稳定性。构建了全局的评价的方法与模型,将定性分析与定量分析相结合,构造了多个目标,并按照层次分析法,对各目标进行处理,实现工艺的全局评价,获得最佳的优化结果。建立了动态资源模型,实现了工艺资源的动态监测,通过资源动态与静态信息,提供优化的约束条件和基础数据。介绍了原型系统的结构与功能,以某零件进行工艺设计与优化,并分析结果的实用性。更多还原

【Abstract】 With the modern manufacturing requirements of better quality, higher efficiency, low cost and more environment-friendly. Complex parts’manufacturing process are disassembled manufacturing methods, process route planning as well as the cutting parameters, the Global evaluation is set up with the data of local optimization, and a best result is obtained.The background, source and research goal of this project and The difficulty of complex parts’process planning are introduced. The process design and optimization are researched and explored both in theory and practice based on the data which are picked-up from the 3D model,The application of feature technology on modeling and process design is analyzed. By using the geometric surface sets, the feature information, manufacturing datum, location datum etc can be expressed clearly. The process is designed and optimized based on the surface geometric and manufacturing information. By this way, the object of optimization and management of process design based on the unified data model is achieved. An open data management pattern is designed. The resource constraints of the process optimization are auto-set to meet the requirement of optimization.According to the hierarchical strategy, the optimization of process is divided into three parts: the manufacturing method, the process sequence and the manufacturing parameters optimization. First, the manufacturing method is reasoned by the type of the feature, the capability of manufacturing resources and the length of the method chain. Second, the quantitative constraint matrix is formed by the result of the reasoning, the relative geometric and manufacturing information, the sequence of manufacturing contents is optimized which aim is to reduce the time of clamping and changing of the machine. The qualitative, descriptive constraint information are usually unsuitable to used in this procedure, while the constraint which is expressed in the matrix improves the disadvantage and increases the calculate efficiency and stability.The global evaluation is given at last. The qualitative analysis is integrated with quantitative analysis and the object functions are constructed by this way. According to the hierarchical method, the global object is optimized to achieve the global evaluation of process planning and obtained the best result.A dynamic database is designed, with the dynamic and static data, the constraints and basic data are provided.After introducing the prototype, the practicability of the system is testified by a complex part’s process design and optimization.更多还原