Application of Adaptive Network Based Fuzzy Inference System for Model Reconstruction in Reverse Engineering
【摘要】：正 Combining the both of technologies, fuzzy neural network and laser surface data measurement, a novel model reconstruction methodology is presented. This model reconstruction scheme includes two main parts, one is surface data measurement system, and the other one is model reconstruction algorithm. The surface data measurement system consists of a vision system with a smart laser camera and a PC computer, the system is developed to measure data for freeform surface with complex shape. Using an Adaptive Network based Fuzzy Inference System (ANTIS), the model reconstruction algorithm is designed. For demonstrating the effectiveness of the presented scheme, the surface data of an existing part are measured, the point cloud data with good accuracy are used to train the ANTIS so that the network model is obtained. From comparing the output of network model data with the sample data, it can be found that the trained network model can match the real surface very well.