Intelligent feature recognition for STEP-NC-compliant manufacturing based on artificial bee colony algorithm and back propagation neural network

• Published in: Journal of manufacturing systems Vol. 62; pp. 792 - 799
• Main Authors: Zhang, Yu, Zhang, Yongsheng, He, Kaiwen, Li, Dongsheng, Xu, Xun, Gong, Yadong
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.01.2022
• Subjects: ABC algorithm; BP neural network; Intelligent feature recognition; STEP-NC; BP neural network; STEP-NC; ABC algorithm; Intelligent feature recognition
• ISSN: 0278-6125
• DOI: 10.1016/j.jmsy.2021.01.018

•An intelligent feature recognition method for STEP-NC-compliant manufacturing based on ABC and BP neural network is proposed.•The minimum subgraphs of a part is constructed based on STEP AP203 for the efficiency and integration of feature recognition.•A BP neural network model for feature recognition with strong intelligence, adaptability and extensibility is built.•An improved BP neural network with better performance is presented combining with ABC algorithm. This paper presents an intelligent feature recognition method for STEP-NC-compliant manufacturing based on artificial bee colony (ABC) algorithm and back propagation (BP) neural network. In the method, after extracting the geometric and topological information from its STEP AP203 neutral file, the minimum subgraphs of a part are firstly constructed based on the concavity and convexity judgment algorithm. Then, an improved BP neural network used to STEP-NC-compliant manufacturing feature recognition is proposed with the combination with ABC algorithm. Finally, the STEP-NC-compliant manufacturing features in the part are recognized accurately and efficiently after the information data from the minimum subgraphs of the part is input into the improved BP neural network. At the end, it has been concluded by case study that the proposed method is effective and feasible.