针对现阶段复杂结构零件在反求方案规划方面的不足,提出一种基于多种反求方法集成的测量过程规划技术。从功能需求出发并结合功能-结构-特征映射原理构建复杂零件的元特征解耦模型,提取元特征作为基本测量单元;进而利用模糊数学方法对元特征与测量方法之间的匹配优度进行评价,决策出单个元特征的最佳测量方法;结合方位面理论,研究了用于描述零件元特征总体分布特性的特征状态空间与描述测量方法有效范围的设备状态空间的定义方法;以设备状态空间为参照,通过特征状态空间的分解与重组,对最优测量方法相同的元特征集合进行划分,从而获得待测零件每次定位后可同时测量的元特征测量组;在此基础上,构建元特征组合测量方案综合评价模型,实现元特征测量的组合优化。对一款直列四缸汽车发动机气缸盖实施测量,并重构CAD模型。试验结果表明:该方法可有效提高复杂结构零件的逆向测量效率与质量。
A planning model based on the integration of multi-RE is proposed in view of the existing deficiency in measurement process for complex structural components. In this approach, a meta feature decoupling is performed by mapping the functions to structures layer by layer, and the meta features are extracted as the basic units for further measurement. Based on the fuzzy mathematics methodology, an evaluation for the optimal matching degree is conducted to decide the best measuring method for each kind of meta feature. Combined with the azimuth theory, two defining methods are studied to describe the feature state space of the overall distribution characteristics of meta features and the equipment state space of the effective measuring range respectively. By taking the equipment state space as the reference, the meta feature set in which all the members can be measured after the positioning of the target component can be decided through the decomposition and reorganization for the feature state space. Based on these, a comprehensive evaluation model for meta feature compound measurement is developed to realize the optimization of the measurement process. This method is verified through a case study on a cylinder head of inline4 engine and the CAD model is reconstructed. The results indicate that this method is effective for improving the measuring efficiency and quality in reversal measurement of complex structural components.