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基于激光测量的航发叶片表面几何缺陷识别技术

孙彬 王建华 赫东锋 杜虎兵 李兵

孙彬, 王建华, 赫东锋, 杜虎兵, 李兵. 基于激光测量的航发叶片表面几何缺陷识别技术. 自动化学报, 2020, 46(3): 594-599. doi: 10.16383/j.aas.c180080
引用本文: 孙彬, 王建华, 赫东锋, 杜虎兵, 李兵. 基于激光测量的航发叶片表面几何缺陷识别技术. 自动化学报, 2020, 46(3): 594-599. doi: 10.16383/j.aas.c180080
SUN Bin, WANG Jian-Hua, HE Dong-Feng, DU Hu-Bing, LI Bing. Identification of Aero-engine Blade Surface Geometric Defects With Laser Measurement. ACTA AUTOMATICA SINICA, 2020, 46(3): 594-599. doi: 10.16383/j.aas.c180080
Citation: SUN Bin, WANG Jian-Hua, HE Dong-Feng, DU Hu-Bing, LI Bing. Identification of Aero-engine Blade Surface Geometric Defects With Laser Measurement. ACTA AUTOMATICA SINICA, 2020, 46(3): 594-599. doi: 10.16383/j.aas.c180080

基于激光测量的航发叶片表面几何缺陷识别技术

doi: 10.16383/j.aas.c180080
基金项目: 

国家自然科学基金 51475351

国家自然科学基金 61471288

陕西省自然科学基础研究计划 2015JM5190

陕西省科技统筹创新工程计划项目 2015KTCQ01-97

详细信息
    作者简介:

    王建华   西安工业大学机电工程学院教授. 1991年获得西安交通大学机械工程系博士学位.主要研究方向为计算机辅助精密测量. E-mail: wjh-xagd@vip.163.com

    赫东锋   西安工业大学机电工程学院副教授. 2000年获得西安工业大学机械制造及其自动化专业硕士学位.主要研究方向为精密测量技术和智能机械. E-mail: dongfenghe@163.com

    杜虎兵  西安工业大学机电工程学院副教授. 2013年获得西安交通大学仪器科学与技术专业博士学位.主要研究方向为机器视觉, 三维轮廓测量. E-mail: duhubing@xatu.edu.cn

    李兵  西安交通大学机械系统工程国家重点实验室教授. 2004年获得西安交通大学博士学位.主要研究方向为光电检测及精密测试技术. E-mail: lb@mail.xjtu.edu.cn

    通讯作者:

    孙彬  西安工业大学机电工程学院讲师. 2016年获得西安交通大学仪器科学与技术博士学位.主要研究方向为几何量精密测量理论研究及工程应用.本文通信作者. E-mail: sun075634@163.com

Identification of Aero-engine Blade Surface Geometric Defects With Laser Measurement

Funds: 

National Natural Science Foundation of China 51475351

National Natural Science Foundation of China 61471288

Natural Science Basic Research Plan in Shaanxi Province 2015JM5190

Shaanxi Science and Technology Innovation Project Plan 2015KTCQ01-97

More Information
    Author Bio:

    WANG Jian-Hua Professor at the School of Mechatronic Engineering, Xi'an Technological University. He received his Ph. D. degree from Xi'an Jiaotong University in 1991. His main research interest is computer aided precision measurement

    HE Dong-Feng Associate professor at the School of Mechatronic Engineering, Xi'an Technological University. He received his master degree from Xi'an Technological University in 2000. His research interest covers precision measurement technology and intelligent machine

    DU Hu-Bing Associate professor at the School of Mechanical and Electrical Engineering. He received his Ph. D. degree in instrument science and technology from Xi'an Jiaotong University in 2013. His research interest covers machine vision and 3D proflle measurement

    LI Bing Professor at the State Key Laboratory of Mechanical Systems Engineering, Xi'an Jiaotong University. He received his Ph. D. degree from Xi'an Jiaotong University in 2004. His research interest covers photoelectric detection and precision testing technology

    Corresponding author: SUN Bin Lecturer at the College of Mechanical and Electrical Engineering, Xi'an Technological University. He received his Ph. D. degree in instrument science and technology from Xi'an Jiaotong University in 2016. His research interest covers geometric measurement theory research and engineering application. Corresponding author of this paper
  • 摘要: 针对航发叶片修复检测的应用, 提出了一种基于截面线一阶导矢法的叶片型面缺陷识别方法.该方法是以等高线法处理测量点云中的截面数据, 通过B样条插值函数拟合成光滑曲线; 再由B样条曲线的一阶导矢公式求出每个测点的一阶导数, 然后以点斜公式求出截面曲线上各个测点的切线; 如果曲线光滑, 曲线上测点的斜率变化在两端点斜率值之间, 否则表明曲线上有缺陷存在; 根据k-d树的最近点搜索算法, 遍历整个叶盆(叶背)就可以找到叶盆(叶背)上的缺陷区域.通过与三坐标测量实验比对, 该技术可以实现3 μm精度的缺陷识别.
    Recommended by Associate Editor SANG Nong
    1)  本文责任编委 桑农
  • 图  1  二维激光轮廓传感器原理图

    Fig.  1  Schematic diagram of 2D laser profile sensor

    图  2  叶片叶盆测量点云的截面拟合曲线

    Fig.  2  Cross section fitting curve of measuring point cloud in leaf vane

    图  3  截面型线测点的切线分布及局部放大图

    Fig.  3  Tangent distribution and partial enlargement of measuring points of section lines

    图  4  激光测量系统与三坐标检测叶片表面缺陷比对实验

    Fig.  4  Laser measurement system and three-coordinate detection blade surface defect comparison experiment

    表  1  对叶片表面几何缺陷同一截面进行检测(mm)

    Table  1  Detecting the same section of the geometrical defect of the blade surface (mm)

    检测装置 最大值 最小值
    激光测量系统 0.1337 0.1258
    三坐标测量机 0.1369 0.1252
    误差 0.0032 0.0006
    下载: 导出CSV
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  • 收稿日期:  2018-02-01
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  • 刊出日期:  2020-03-30

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