航天密封圈的曲面成像理论及其缺陷检测

何博侠; 张毅; 童楷杰; 李春雷; 刘若琳

doi:10.3788/OPE.20152311.3051

您当前的位置：

首页 >

文章列表页 >

航天密封圈的曲面成像理论及其缺陷检测

现代应用光学 | 更新时间：2020-08-13

- 航天密封圈的曲面成像理论及其缺陷检测
- Curved surface imaging theory and defect detection for sealing rings used in aerospace systems
- 光学精密工程 2015年23卷第11期页码：3051-3060
- 作者机构：
  
  南京理工大学机械工程学院,江苏南京,中国,210094
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目(No.51175267,No.51575281)();江苏省自然科学基金资助项目(No.BK2010481)();教育部博士点基金资助项目(N
- DOI：10.3788/OPE.20152311.3051
  中图分类号： TP242.62;V253
- 收稿日期：2015-07-13，
  
  修回日期：2015-09-12，
  
  纸质出版日期：2015-11-25
- 稿件说明：
移动端阅览
何博侠, 张毅, 童楷杰等. 航天密封圈的曲面成像理论及其缺陷检测[J]. 光学精密工程, 2015,23(11): 3051-3060

HE Bo-xia, ZHANG Yi, TONG Kai-jie etc. Curved surface imaging theory and defect detection for sealing rings used in aerospace systems[J]. Editorial Office of Optics and Precision Engineering, 2015,23(11): 3051-3060
何博侠, 张毅, 童楷杰等. 航天密封圈的曲面成像理论及其缺陷检测[J]. 光学精密工程, 2015,23(11): 3051-3060 DOI： 10.3788/OPE.20152311.3051.

HE Bo-xia, ZHANG Yi, TONG Kai-jie etc. Curved surface imaging theory and defect detection for sealing rings used in aerospace systems[J]. Editorial Office of Optics and Precision Engineering, 2015,23(11): 3051-3060 DOI： 10.3788/OPE.20152311.3051.

摘要

针对利用视觉图像技术检测O形(密封)圈这类全向曲面特征零件的表面缺陷时存在曲面成像一致性差的难题

研究了曲面成像基础理论和航天系统用O形圈表面成像及其表面缺陷的全自动检测方法。首先

把O形圈表面划分为细小网格状的曲面小块

基于曲面小块的双向反射分布函数得到点光源辐照时曲面小块的辐射强度计算公式。然后

通过半球积分求得空间连续光源辐照条件下曲面小块的辐射强度计算方法。最后

结合O形圈曲面方程

建立了O形圈表面成像理论

并据此提出基于三镜头相机组的O形圈表面缺陷成像检测方法。对O形圈弧段曲面的成像实验表明:理论计算的亮度分布与实际亮度分布一致

垂直安装的镜头相机组对应的平均亮度误差为6.8

标准差为12.6;倾斜安装的镜头相机组相应的平均亮度误差最大为19.4

标准差为10.3;缺陷检测实验表明

所提方法能可靠检测出O形圈表面任意位置的缺陷

能够实现航天密封圈的全自动可靠检测。

Abstract

When machine vision technology is used to detect the surface defects of parts with omnidirectional curved surface characteristics such as 'O' sealing rings

it shows a poor consistency of surface imaging. To achieve the full-automatic and reliable detection of surface defects of 'O' rings used in aerospace systems

the curved surface imaging theory and the surface defect detecting methods of 'O' rings were investigated. Firstly

the surface of 'O' ring was divided into small pieces like small grids. Based on the bidirectional reflectance distribution function of surface pieces

the radiation strength calculation formula of surface pieces was derived under the condition of point light irradiation. Then

the radiation strength calculation method of surface pieces suitable for the space continuous light irradiation was obtained through a hemisphere integral. Finally

combining with the 'O' ring surface equation

the imaging theory of 'O' ring surface was established and the imaging and detecting methods for 'O' ring surface defects based on three lens & camera units were proposed. The imaging experiment results of the segmental arc surfaces of 'O' rings indicate that the theoretical brightness distribution is consistent with the actual brightness. The average brightness error corresponding to the vertical lens & camera unit is 6.8 and its standard deviation is 12.6. The maximum average brightness error corresponding to the gradient lens & camera units is 19.4 and its standard deviation is 10.3. The defect detecting experiment results show that the proposed method detects reliably the defects in any location of the surface of 'O' rings and the proposed detecting system implements the automatic detection of the sealing rings in aerospace systems.

关键词

Keywords

references

GUO W, CUI W, YU T, et al.. O-ring static sealing reliability model and influence factors analysis[J]. Arab. Gulf. Journal of Scientific Research, 2013, 31(12):336-343.

GB/T 3452.2-2007. 液压气动用O形橡胶密封圈第2部分:外观质量检验规范[S]. 北京:中国标准出版社,2007. GB/T 3452.2-2007. Fluid power systems-O-rings-Part 2:Quality acceptance criteria[S].Beijing:China Standard Press,2007.(in Chinese)

CHANDRASEKARAN V C. Rubber Seals for Fluid and Hydraulic Systems[M].Burlington:Elsevier Inc., 2010.

廖强,刘兆东,郭静,等. 主动视觉技术在精密测量中的应用研究[J]. 计算机工程与应用,2009,45(10):218-220. LIAO Q, LIU ZH D, GUO J,et al..Study of active vision technology in precision measurement[J].Computer Engineering and Applications,2009,45(10):218-220.(in Chinese)

WECKENMANN A, JIANG X, SOMMER K D, et al.. Multisensor data fusion in dimensional metrology[J]. CIRP Annals-Manufacturing Technology, 2009, 58(2):701-721.

MARN S S, YARLAGADDA P K D V, FOOKES C. Design and development of automatic visual inspection system for PCB manufacturing[J]. Robotics and Computer-Integrated Manufacturing, 2011, 27(5):949-962.

何博侠,何勇,卜雄洙,等. 机器视觉多视场协同测量方法[J]. 光学精密工程,2012, 20(12):2821-2829. HE B X, HE Y, BU X ZH,et al.. Coopertive measurement method of multi-FOV for machine vision[J]. Opt. Precision Eng., 2012,20(12):2821-2829.(in Chinese)

叶声华,秦树人. 现代测试计量技术及仪器的发展[J]. 中国测试,2009,35(2):1-6. YE SH H,QIN SH R. Development of modern measuring metrological and instrumental technologies[J].China Measurement & Test,2009,35(2):1-6.(in Chinese)

HORN B K P[美]. 机器视觉[M]. 王亮,蒋欣兰,译.北京:中国青年出版社,2014:230-249. HORN B K P. Robot Vision[M]. WANG L,JIANG X L,Translate.Beijing:China Youth Press, 2014:230-249.(in Chinese)

王国强,徐范. 漫反射FTIR法在橡胶制品增强纤维剖析中的应用[J]. 合成橡胶工业,1996, 19(2):90-91. WANG G Q, XU F. Application of diffuse reflection FTIR method in analysis of rubber products reinforced fiber[J].China Synthetic Rubber Industry, 1996, 19(2):90-91.(in Chinese)

OREN M, NAYAR S K. Generalization of the Lambertian model and implications for machine vision[J].International Journal of Computer Vision,1995,14(3):227-251.

赵勇,方宗德,田丽丽. 列车车轮踏面缺陷的图像区域提取[J]. 光学精密工程,2009, 17(4):901-908. ZHAO Y, FANG Z D, TIAN L L. Defect region extraction in images of train wheel tread[J].Opt. Precision Eng., 2009, 17(4):901-908.(in Chinese)

浏览量

217

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

光学曲面的偏折测量技术：原理、挑战与展望（特邀）

改进相位相关与聚类思想的Micro-LED芯片显微图像拼接

基于改进YOLOv8模型的增材制造微小气孔缺陷检测及其尺寸测量

融合多尺度特征与注意力的太阳能电池表面缺陷检测

改进轻量化VTG-YOLOv7-tiny的钢材表面缺陷检测