污染环境中织状复材蒙皮孔的视觉检测技术研究
Study on vision measurement technology for holes on textured composite skin in polluted environment
李博 1章绍昆 1高鑫 1喻志勇 1卢仁华2
作者信息
- 1. 成都飞机工业(集团)有限责任公司,四川成都 610091
- 2. 中国人民解放军93147部队,四川成都 610091
- 折叠
摘要
碳纤维增强复合蒙皮一般通过连接孔与飞机骨架零件进行连接,连接孔的孔位对于保证连接强度至关重要.为了实现污染环境中织状复材蒙皮孔的高效在机检测,文章设计了一套机器视觉装置,提出了连接孔与激光光斑的图像算法,通过孔区域快速定位和临近边缘搜索实现了孔周边缘的精确提取,结合激光光束标定和光斑坐标值计算连接孔的孔位.在蒙皮试验件上开展了在机测孔实验,将文章的图像算法与常规图像算法进行对比.结果表明,文章的算法具有更好的适应性;孔位测量误差小于0.05 mm,检测效率达到每分钟12孔.
Abstract
Reinforced carbon fiber composite skin is generally connected to aircraft skeleton parts through connection holes.The hole position is crucial for ensuring the joint strength.In order to achieve efficient online measurement of hole position on textured composite skin in polluted environment,this paper designs a machine vision device,and image algorithm is also proposed.Accurate extraction of hole edge is realized by rapid positioning of hole area and edge search around hole wall.The hole position is calculated based on image algorithm,laser beam calibration and spot coordinate.The online measurement experiment of hole on skin test piece is carried out.Compared with common image algorithm,the proposed image algorithm has better adaptability.The experiment result shows that measuring error of hole position is less than 0.05 mm,while the system can measure 12 holes per minute.
关键词
复材蒙皮/连接孔/机器视觉/图像处理/在机检测Key words
composite skin/connection hole/machine vision/image processing/online measurement引用本文复制引用
基金项目
国家重点研发计划(2019YFB1704804)
出版年
2024
NETL
NSTL
维普
万方数据