制造技术与机床2024,Issue(1) :185-190.DOI:10.19287/j.mtmt.1005-2402.2024.01.026

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 on three-dimensional point cloud

窦亚萍 郑述 杨治飞 任慧茹 顾旭辉 隋文涛
制造技术与机床2024,Issue(1) :185-190.DOI:10.19287/j.mtmt.1005-2402.2024.01.026

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 on three-dimensional point cloud

窦亚萍 1郑述 2杨治飞 2任慧茹 1顾旭辉 1隋文涛1
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作者信息

  • 1. 山东理工大学机械工程学院,山东淄博 255000
  • 2. 淄博市特种设备检验研究院,山东淄博 255025
  • 折叠

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 iim,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.

关键词

激光点云/同轴度评定/圆拟合/最小截平方

Key words

laser point cloud/coaxiality evaluation/circle fitting/least trimmed square

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基金项目

山东省自然科学基金项目(ZR2021ME160)

山东省科技型中小企业创新能力提升工程项目(2022TSGC1164)

出版年

2024
制造技术与机床
中国机械工程学会 北京机床研究所

制造技术与机床

CSTPCD北大核心
影响因子:0.264
ISSN:1005-2402
参考文献量6
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