Corner rounding of linear five-axis tool path by dual PH curves blending

被引:91
作者
Shi, Jing [1 ]
Bi, QingZhen [1 ]
Zhu, LiMin [1 ]
Wang, YuHan [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Mech Engn, State Key Lab Mech Syst & Vibrat, Shanghai 200030, Peoples R China
基金
中国国家自然科学基金;
关键词
Five-axis machining; Corner rounding; Tool path smoothing; Orientation continuity; PH curve; TRAJECTORY GENERATION; INTERPOLATION; ALGORITHM; METHODOLOGY; CONSTRAINTS; SYSTEM; FEED;
D O I
10.1016/j.ijmachtools.2014.09.007
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The widespread linear five-axis tool path (G01 blocks) is usually described by two trajectories. One trajectory describes the position of the tool tip point, and the other one describes the position of the second point on the tool axis. The inherent disadvantages of linear tool path are tangential and curvature discontinuities at the corners in five-axis tool path, which will result in feedrate fluctuation and decrease due to the kinematic constraints of the machine tools. In this paper, by using a pair of quintic PH curves, a smoothing method is proposed to round the corners. There are two steps involved in our method. Firstly, according to the accuracy requirements of the tool tip contour and tool orientation tolerances, the corner is rounded with a pair of PH curves directly. Then, the control polygon lengths of PH curves are adjusted simply to guarantee the continuous variation of the tool orientation at the junctions between the transition curves and the remainder linear segments. Because the PH curves for corner rounding can be constructed without any iteration, and those two rounded trajectories are synchronized linearly in interpolation, which makes this smoothing method can be applied in a high efficiency way. Its high computational efficiency allows it to be implemented in real-time applications. This method has been integrated into a CNC system with an open architecture to implement on-line linear five-axis tool path smoothing. Simulations and experiments validate its practicability and reliability. (C) 2014 Published by Elsevier Ltd.
引用
收藏
页码:223 / 236
页数:14
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