基于散乱点云数据的五轴数控加工刀轨生成算法

提出一种基于散乱点云数据的五轴数控加工刀轨生成算法,该算法根据点云数据的型面特征规划驱动刀轨,基于点云数据的动态索引获取瞬时加工区域,计算瞬时加工区域中数据点对应刀位点集,选取刀轴正向最高点作为当前刀位驱动点对应的无干涉刀位点,检测相邻刀位点间的极限加工误差并采用二分插值法控制刀轨精度,最终生成满足精度要求的五轴数控加工刀轨,实例证明该算法刀具适用范围广,可对各种复杂型面的产品点云数据生成高质量的五轴数控加工刀轨。

Algorithm Generating Five-axis NC Tool-path for Unorganized Point Cloud

An useful generation algorithm of five-axis NC tool-path was proposed, which contained the following steps: first, the cutter-location driver points were marked out based on the shape of point cloud; second, the instantaneous process area was obtained based on the dynamic index of point cloud data; third, the corresponding cutter location point of each point in the instantaneous process area was obtained and then the cutter location point which has the highest position in the axis direction as the current cutter location point was selected; forth, the limit error was verified according to the adjacent cutter location points, and the precision of tool-path was controlled by the binary interpolation; ultimately, the NC tool-path was generated which met the accuracy requirements. Examples demonstrated that the algorithm can be used for many kinds of tools and can generate the high-quality five-axis NC tool-path for complex data model of unorganized point cloud.