For the automatic laser deburring of ceramic cores, this study proposed a method for generating deburring tool paths by combining the computer-aided design/computer-aided manufacturing (CAD/CAM) approach with two-step coarse and fine point cloud registrations method. Specifically, the CAD/CAM approach was employed to generate the ideal tool paths based on the CAD model, and the coarse registration ensured the global optimal solution of the subsequent fine registration. Considering the complex structure and the uneven shrinkage deformation of ceramic cores, the hybrid and local fine registration method was proposed to optimize the ideal tool paths in order to generate deburring tool paths. Moreover, the fine registration also eliminated the influence of inconsistent clamping errors of ceramic cores on the final accuracy of deburring tool paths. In order to select the optimal local fine registration methods, focusing on the accuracy of deburring tool paths, four rigid and non-rigid point cloud registration methods based on the iterative closest point algorithm were compared. Furthermore, a method for evaluating the accuracy of deburring tool paths was proposed. Finally, a repeatability experiment was performed to verify the accuracy and robustness of the proposed method. The generated deburring tool paths were verified and its effectiveness was proven on a five-axis laser processing equipment.

对于陶瓷芯的自动激光去毛刺，本研究提出了一种通过将计算机辅助设计/计算机辅助制造（CAD / CAM）方法与两步粗略和细点云配准方法相结合来生成去毛刺刀具路径的方法。具体而言，CAD / CAM方法用于基于CAD模型生成理想的刀具路径，粗配准确保了后续精配的全局最优解决方案。考虑到陶瓷芯的复杂结构和不均匀的收缩变形，提出了一种混合和局部精细配准的方法来优化理想的刀具轨迹，以产生去毛刺的刀具轨迹。此外，精细定位还消除了陶瓷芯不一致的夹紧误差对去毛刺刀具路径最终精度的影响。为了选择最佳的局部精细配准方法，着眼于去毛刺刀具路径的准确性，比较了基于迭代最近点算法的四种刚性和非刚性点云配准方法。此外，提出了一种评估去毛刺刀具路径精度的方法。最后，进行了重复性实验以验证所提方法的准确性和鲁棒性。验证了生成的去毛刺刀具路径，并在五轴激光加工设备上证明了其有效性。提出了一种评价去毛刺刀具路径精度的方法。最后，进行了重复性实验以验证所提方法的准确性和鲁棒性。验证了生成的去毛刺刀具路径，并在五轴激光加工设备上证明了其有效性。提出了一种评价去毛刺刀具路径精度的方法。最后，进行了重复性实验以验证所提方法的准确性和鲁棒性。验证了生成的去毛刺刀具路径，并在五轴激光加工设备上证明了其有效性。