• 论文 •    

面向数控粗加工的自适应细分

原恩桃,廖文和,刘浩   

  1. 南京航空航天大学 机电学院,江苏南京210016
  • 出版日期:2008-11-15 发布日期:2008-11-25

Adaptive subdivision algorithm for numerical control rough machining

YUAN En-tao,LIAO Wen-he,LIU hao   

  1. College of Mechanical & Electrical Engineering,Nanjing University of Aeronautics & Astronautics,Nanjing 210016,China
  • Online:2008-11-15 Published:2008-11-25

摘要: 为获得加工余量均匀的数控粗加工模型,提出了一种基于面误差的自适应细分算法。该算法以细分后的控制网格与极限曲面之间的最小距离和粗加工余量作比较,确定均匀细分次数。将均匀细分后的网格向极限曲面投影形成覆盖网格,再以覆盖网格和极限曲面之间的距离作为自适应细分准则,对不能满足精度的区域进行自适应细分。实验结果表明,在给定的精度范围内,该算法能够大幅度抑制细分过程中网格数量的快速增长,并能获得与原始算法光顺程度基本一致的曲面,大大提高了模型的后处理速度。

关键词: 数控系统, 加工, 自适应细分, 细分次数, 覆盖网格, 计算机辅助制造

Abstract: To obtain Numerical Control (NC) rough machining models with uniform machining allowance, an adaptive subdivision algorithm based on surface error was put forward. By comparing the least distance between subdivided control mesh and limit surface with rough machining allowance, the uniform subdivision depth was determined. A cover mesh was generated by projecting control mesh to the limit surface. The distance between cover mesh and limit surface was used as the self-adaptive subdivision criterion to adaptively subdivide the areas which were not satisfied with specified error tolerance. Examples showed that this method could remarkably decrease the number of meshes, keep the good fairness and then significantly increase the processing speed of model.

Key words: numerical control system, machining, adaptive subdivision, subdivision depth, cover mesh, computer aided manufacturing

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