Abstract: 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.

Key words: Compound measurement, Fuzzy evaluation, Meta feature, Optimal matching degree, Reverse engineering, Cold-rolled dual phase steel, Forming limit, Mechanical property, Tensile test