Constant Stability Control Method for Three-axis Machining Swing Based on Surface Decomposition

2018 International Conference on Advanced Materials, Intelligent Manufacturing and Automation

材料科学;机械制造;运输工程

Chen, Zhi-Peng^1 ; Lu, Xing-Hua^2

Guangzhou Huali Science and Technology Vocational College, Guangzhou

511325, China^1

Huali College Guangdong University of Technology, Guangdong Guangzhou

511325, China^2

关键词: Curved surfaces;    Disturbance factors;    Geometric constraint;    Machining Process;    Parameter correlation;    Process stability;    Stability control;    Surface decomposition;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/382/4/042041/pdf
DOI  :  10.1088/1757-899X/382/4/042041

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In the three-axis machining process, it is easy to be affected by the tool disturbance factors on the whole processed surface, which leads to the tool swing and the machining error. In order to reduce the swing and reduce the machining error, a three-axis machining swing constant stability control method is proposed based on surface decomposition. The geometric constraint model of tool movement in triaxial machining is established. According to the geometric constraint of tool motion described, the critical cutter axis vector at a single tangent contact is solved, and the constraint parameter model of tool axis swing control in triaxial machining is analyzed. According to the relation between the radius change of the three-axis machining ball head cutter and the feasible pendulum cutter field, the surface decomposition is carried out, all the cutter axis vectors are obtained, and the tool length corresponding to each tool axis vector in the feasible pendulum cutter field is calculated. According to the parameter correlation analysis of the curved surface formed by the number curve, the steady stability control of the three-axis machining swing is realized. The simulation results show that the stability of the tool can be improved by using this method to control the oscillating stability of the tool. The optimization of tool size parameters is helpful to improve the process stability.