基于三维点云的曲轴同轴度误差测量方法研究

Research on the measurement method of crankshaft coaxiality error based onthree-dimensional point cloud

  • 摘要: 针对曲轴轴颈同轴度的快速检测的需求,文章提出了一种基于三维点云的同轴度误差视觉测量的方法。文章应用激光扫描仪获取待测件的三维点云模型,计算获取等间距的轴颈点云切片;然后,提出Pratt-RLTS法来得到各个点云切片的圆心,进而根据各切片圆心以最小二乘法获取公共基准轴线,最终实现同轴度误差的测量。实验结果表明:文章圆拟合方法对比最小二乘圆法、最小包容圆法、RANSAC等方法更准确稳定,与三坐标测量机结果相比最大绝对误差均值不过超过4.8 μm,可以满足快速高效测量曲轴同轴度误差的实际需要。

     

    Abstract: Aiming at the requirement of rapid inspection of crankshaft journal coaxiality, a method of visual measurement of coaxiality error based on 3D point cloud is proposed. In this paper, a laser scanner is applied to obtain the 3D point cloud model of the part to be measured, and the point cloud slices of equally spaced journals are calculated. After that, the Pratt-RLTS method is proposed to obtain the center of each point cloud slice, and then the common reference axis is obtained by the least squares method according to the center of each slice, which finally realizes the measurement of the coaxiality error. The experimental results show that the circle fitting method in this paper is more accurate and stable than the least squares circle method, the least-inclusive circle method, and the RANSAC method, etc. The average value of the maximum absolute error compared with the results of the coordinate measuring machine (CMM) is no more than 4.8 μm, which can satisfy the practical needs of fast and efficient measurement of the crankshaft coaxiality error.

     

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