基于线结构光的滚动直线导轨型面精密测量与场景化算法研究OA
Research on precise measurement and scene-based algorithm for rolling linear guide rail profile based on line structured light
为提升滚动直线导轨副中含微小圆弧特征复杂曲面的制造精度,保障滚动功能部件的刚度、摩擦力矩等服役性能,本文提出一种基于线结构光的滚动直线导轨型面精密高效测量方法.针对导轨型面的独特场景,构建了一套场景化改进算法的型面点云拟合体系,包括滚道区域加权的自适应体素滤波算法、多特征融合的PCA-K邻域拐点辨识算法及自适应半径约束的改进RANSAC圆弧拟合算法等.通过与三坐标测量机、影像测量仪的对比实验,验证该测量系统的测量精度优于5 μm,达到SP级测量标准,能够实现导轨型面全轮廓检测,测量效率较三坐标测量机提升15倍以上,为滚动直线导轨型面的高精度、高效检测提供了理论支撑与技术方案.
In order to improve the manufacturing accuracy of the complex curved surface with small arc characteristics in the rolling linear guide pair,and ensure the service performance of the rolling functional components such as stiffness and friction torque,a precise and efficient measurement method of the rolling linear guide surface based on line structured light was proposed in this paper.Aiming at the unique scene of the guide rail profile,a set of point cloud fitting system of the improved scene algorithm was construct-ed,including the adaptive voxel filtering algorithm weighted by the raceway area,the PCA-K neighbor-hood inflection point identification algorithm with multi-feature fusion and the improved RANSAC arc fit-ting algorithm with adaptive radius constraint.Through the comparison experiment with the three-coordi-nate measuring machine and the image measuring instrument,it is verified that the measurement accuracy of the measurement system is better than 5 μm,which reaches the SP level measurement standard,and can realize the full contour detection of the guide rail surface.The measurement efficiency is more than 15 times higher than that of the three-coordinate measuring machine,which provides theoretical support and technical scheme for the high-precision and efficient detection of the rolling linear guide rail profile.
李金峰;马紫瑞;王海同;张泽阳
雁栖湖基础制造技术研究院(北京)有限公司,北京 100044||国家市场监督管理总局重点实验室(工业母机功能部件性能测试与评价),北京 100044雁栖湖基础制造技术研究院(北京)有限公司,北京 100044||国家市场监督管理总局重点实验室(工业母机功能部件性能测试与评价),北京 100044||北京交通大学机械与电子控制工程学院,北京 100044北京交通大学机械与电子控制工程学院,北京 100044雁栖湖基础制造技术研究院(北京)有限公司,北京 100044||北京交通大学机械与电子控制工程学院,北京 100044
机械制造
线结构光直线导轨型面检测点云算法
line structured lightlinear guide railsurface detectionpoint cloud algorithm
《光学精密工程》 2026 (4)
536-547,12
中国机械总院技术发展基金项目(No.J242202Y)国家自然科学基金(No.52475507)北京交通大学基础研究基金(No.2024JBMC017)
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