A speed inference planning of groove cutting robot based on machine vision and improved fuzzy neural network

• Published in: Journal of intelligent & fuzzy systems Vol. 42; no. 4; pp. 3251 - 3264
• Main Authors: Xuejian, Zhang, Xiaobing, Hu, Hang, Li
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.01.2022; Sage Publications Ltd
• Subjects: Artificial neural networks; Cutting parameters; Cutting speed; Digital imaging; Expert systems; Fuzzy logic; Grooves; Hybrid systems; Image processing; Inference; Machine tools; Machine vision; Machining; Process parameters; Robots; Vision systems; fuzzy neural network; groove cutting speed; MATLAB simulation; machine vision
• ISSN: 1064-1246; 1875-8967
• DOI: 10.3233/JIFS-211116

To ensure the cutting speed during the cutting operation, this paper proposes a groove cutting speed inference planning system that relies on production experience and set parameters and is based on machine vision and a two-level fuzzy neural hybrid network. The overall structure of the inference system is designed, including the mechanical body, vision system, and fuzzy neural hybrid network. The contour information of the part is obtained using industrial cameras and digital image processing systems. The cutting speed of the trajectory segment is inferred based on the related processing parameters and the secondary fuzzy neural hybrid network. Finally, all of the processing parameters are transmitted to the PLC, so that the robot can work according to the predetermined displacement and speed. Simulations verify that the speed inference planning system offers certain advantages compared to the traditional one. The appearance of the speed inference planning realises independent design and planning of the cutting speed, and further ensures the unity of the cutting quality and cutting speed. This proposed method provides a new direction for the development and transformation of machining processes that rely on manual experience and in which expert systems cannot be used.