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期刊信息
  • 中国标准连:ISSN1005-2895
  • 续出版物号: CN 33-1180/TH
  • 主管单位:轻工业杭州机电设计研究院
  • 主办单位:轻工业杭州机电设计研究院、中国轻工机械协会、中国轻工业机械总公司
  • 社  长:刘安江
  • 主  编:黄丽珍
  • 地  址:杭州市余杭区高教路970号西溪联合科技广场4-711
  • 电子邮件:qgjxzz@126.com
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郭景浩, 张立强, 王勇.基于等距映射特征匹配的薄壁件镜像加工刀路补偿算法[J].轻工机械,2018,36(6):25-32
基于等距映射特征匹配的薄壁件镜像加工刀路补偿算法
Tool Path Compensation Algorithm of Mirror Machining for Thin Walled Piece Based on Equidistant Mapping Feature Matching
  
DOI:10.3969/j.issn.1005 2895.2018.06.006
中文关键词:  薄壁件  镜像铣  刀路补偿  等距映射  非线性最小二乘法
英文关键词:thin walled parts  mirror milling  tool path compensation  isometric mapping  nonlinear least squares method
基金项目:国家自然科学基金项目(51775328)
作者单位
郭景浩, 张立强, 王勇 上海工程技术大学 机械与汽车工程学院 上海201620 
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中文摘要:
      在大型薄壁件的镜像铣削加工时,装夹过程会造成工件的变形,如果使用初始的刀具路径会导致薄壁件厚度不均匀,过切或欠切。为了提高加工精度,在铣削加工之前添加激光扫描环节,并提出一种基于等距映射特征匹配的薄壁件镜像加工刀路补偿算法。应用运动学变换公式将激光扫描数据转换为点云,通过点云预处理简化过程,对理论曲面和实际曲面进行Delaunay三角网格曲面重构和计算定位点和匹配点任意两点间的测地线距离,再运用非线性最小二乘迭代计算完成基于等距映射理论的曲面特征匹配,最后基于面积坐标公式完成刀路的补偿。经过加工测量实验,该算法能减少67%加工误差,验证了该算法的有效性。
英文摘要:
      In a mirror milling of large thin wall parts, the clamping process can cause deformation of the work piece. Using the initial tool path will lead to uneven thickness of the thin wall parts, cutting too much or not. In order to improve the machining accuracy, laser scanning was added before milling, and the tool path compensation algorithm of mirror milling machining of large thin walled piece based on laser scanning was proposed. In this algorithm, the laser scanning data was transformed into point cloud through kinematics transformation formula and the point cloud was simplified after the point cloud preprocessing. Then, the Delaunay triangular mesh surface was reconstructed from the theoretical surface and the actual surface and the geodesic distance was calculated between the anchor point and the match point.Then, the matching of surface feature is completed based on isometric mapping theory through iterative computation of nonlinear least squares. Finally, the compensation of the tool path was completed based on the area coordinate formula. The machining measurement experiment shows that the algorithm can reduce the machining error by 67%, and the validity of the algorithm is verified.
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