Research on ANN-based feature recognition and manufacturing behavior sequence

This paper presents an intelligent manufacturing feature extraction method and the reasoning method of manufacturing behavior sequence. This method mainly used pretrained BP neural network to identify the B-rep model representation of the product. After that, manufacturing behavior sequence constraint model was built, and the initial sequence was acquired through knowledge-based process templates and knowledge-based process templates. After evaluation of mathematical models and analysis of software Deform, the rational optimum manufacturing behavior sequence was acquired. Through a lot testing, the validity of the system was verified.