Local Energy Smoothing and Singularity Avoidance Method of Five-axis Linear Toolpath
Aiming at the problems existing in the current five-axis machining that the translation axis at the corner of the toolpath decelerates excessively and the angle of the rotation axis changes drastically in the singular area.This paper takes the AC dual-table five-axis machine tool as the research object and proposes a path optimization method that satisfies the kinematics constraints of the machine tool.Firstly,the method takes the maximum allowable offset before and after the smoothing of the tool center point as a constraint,and uses the corner vector and the double-chord bow height for modeling to seek the local energy optimal solution at the corner of the micro-line segment.Then the cutter axis vector points inside and at the edges of the singular range are planned again so that the end of the vector just bypasses the singular region on the unit sphere;thus the original machining characteristics are greatly preserved.Finally,the optimization effect is evaluated by the trigonometric function acceleration and deceleration control algorithm.The simulation results show that the path optimization method improves the average feed rate by 10.64%while the fitting deviation and bow height error do not exceed the allowable values,and can effectively avoid the occurrence of singularities in machining.Consequently,the proposed method has high theoretical significance and practical application value in improving the efficiency and quality of five-axis machining.
five-axis machininglocal energy smoothingsingular regionsmotion control
国家科技期刊平台
NSTL
万方数据
