For multi-axis CNC machining of complex parts, the dynamic prediction of contour error is the basis and guarantee for on-line adjustment of machining parameters and high-quality machining. During the operation of the machine tool, the change of the pose of each feed shaft makes the machine tool show obvious time-varying dynamic characteristics, which makes the contour error difficult to predict. Aiming at this problem, a dynamic prediction method of contour error of multiaxis machine tool driven by mechanism-data hybrid is proposed. Taking the two-axis feed system of a five-axis machining center as the specific object, the dynamic modeling and solution are carried out, and the rigid-flexible coupling transfer function matrix is constructed as the mechanism model. The data set of feed shaft pose and natural frequency is obtained by modal experiment, and the data model is constructed by machine learning algorithm. The time-varying rigid-flexible coupling transfer function matrix is obtained by combining the mechanism model with the data model. Taking it as the controlled object, a time-varying servo feed system is built in MATLAB/Simulink to realize the dynamic prediction and verification of contour error. Finally, the above model is integrated into VE2 to develop the digital twin model of the machine tool, so as to realize the dynamic presentation of contour error and tracking error. The research results have reference value for constructing the contour error model under the influence of time-varying dynamic characteristics.
KEYWORDS: Manufacturing, Visualization, Visual analytics, Data modeling, 3D modeling, Telecommunications, Software, Computer simulations, 3D visualizations, Visual process modeling
In order to meet the monitoring requirements of the upper management of the enterprise for the production status of the production line, research on the real-time status visualization of the intelligent manufacturing production line based on digital twin is carried out. First, the visualization system architecture of intelligent manufacturing production line based on digital twin is built, and its key realization process is clarified; then, it focuses on three key technologies: real-time collection method of production data based on CNC (Computer numerical control) system and RFID technology, data management based on MySQL, information visualization and push, which elaborates the visualization method in detail. Finally, the automation production line of an intelligent manufacturing laboratory in a university is taken as an application case to realize its visualization.
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