Dynamic Structure Design of Large-Scale High-Speed Gantry Type CNC Milling Machine

2011 ◽  
Vol 199-200 ◽  
pp. 1065-1068
Author(s):  
Li Qiang Zeng ◽  
Zhi Peng Ma ◽  
Xing Yu Zhao ◽  
Da Wei Zhang

To design a milling machine with high static stiffness and machining precision, the three-dimensional (3-D) model and the finite element model of a large-scale high-speed gantry type CNC milling machine have been established according to the demand of engineering. The main components of the milling machine have been studied separately by static and dynamic analysis to make an optimal structure design. The results indicate that the structure of the milling machine has great static stiffness, little structural deformation, and good dynamic characteristics. The method used in this paper provides helpful theoretical guidance to the dynamic design of milling machine.

2012 ◽  
Vol 220-223 ◽  
pp. 410-413
Author(s):  
Yi Xuan Wang ◽  
Duan Li ◽  
Ying Wang ◽  
Yan Li Guo ◽  
Xu Chen

In order to optimize the CNC milling machine structure, the system modeling, simulation, and virtual prototyping technology are used in this paper. It has built 3D virtual prototype model and finite element model of the upright post on Pro/E, ADAMS and ANSYS platforms respectively. The modal analysis of different rib column has been done. The top twenty frequencies and mode of those upright posts are calculated by ANSYS software. Through the modal analysis and compared with different column structure, the optimization column geometry is determined, and the main spindle speed should not be greater than 9000 r/min. These will provide important references for the general design and manufacture of the CNC milling machine.


2020 ◽  
Vol 18 (5) ◽  
pp. 1153-1163
Author(s):  
Bashir Osman ◽  
Haitao Zhu

Purpose Training centers and labs offer many applications suitable for beginners who want to know how to set and operate a computer numerical control (CNC) milling machine. However, few applications address a basic understanding of the machining process founded on mathematical principals in line with new high-speed and high-precision machining technologies. The purpose of this paper is to present a complex mechanism in a simplified way, explaining the subject at an elementary level. Design/methodology/approach The authors have developed an application of the CNC milling machine in a Matlab/Simulink package, obtaining the appropriate parameters mathematically. The project developed an analytical method using Matlab code to test the step response (the actual cutting force) under various parameters to ensure comparability of the designed model. The analytical results are in line with the developed model. The Matlab/Simulink user interface allows the application to better explain machining for educational purposes. Furthermore, by combining this mathematical model and the fuzzy controller, the high-speed constant-force milling control model has a user interface for data entry. The addition of two kinds of fuzzy controllers (look-up table and Mamdani) achieve a more educational environment compared with existing models. Findings The developed technique can be used in CNC milling machine centers and laboratories. For virtual training purposes, this paper provides a two-stage educational model, giving students the necessary feedback on what they have learned at each stage from the beginning use of the CNC milling machine, with and without the controller. The system also offers to track the step-response analysis method. This method overcomes the shortage of milling processes modeled by the traditional transfer function, which more accurately establishes the relationship between cutting force and cutting parameters. Practical implications This technique can be used in the CNC machine centers and laboratory for teaching beginner students and trainees. Real data from the workshop had been used. Originality/value The earlier versions of this manuscript were presented in: JVE International LTD. Vibroengineering Procedia. +2017. 14.; IEEE 4th International Conference on Information Science and Control Engineering (ICISCE) +2017.


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