[1]林锦洪,花海燕,孙超,等.旋压轮低对比度特征视觉测量系统设计及分析[J].福建理工大学学报,2026,24(01):81-89.[doi:10.3969/j.issn.2097-3853.2026.01.011]
　LIN Jinhong,HUA Haiyan,SUN Chao,et al.Design and analysis of vision measurement system for low contrast features of spinning wheels[J].Journal of Fujian University of Technology;,2026,24(01):81-89.[doi:10.3969/j.issn.2097-3853.2026.01.011]
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旋压轮低对比度特征视觉测量系统设计及分析()
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《福建理工大学学报》[ISSN:2097-3853/CN:35-1351/Z]

卷:
第24卷
期数:
2026年01期
页码:
81-89
栏目:
出版日期:
2026-02-25

文章信息/Info

Title:
Design and analysis of vision measurement system for low contrast features of spinning wheels
作者:
林锦洪; 花海燕; 孙超; 万丛城
福建理工大学机械与汽车工程学院
Author(s):
LIN Jinhong;  HUA Haiyan;  SUN Chao;  WAN Congcheng
School of Mechanical and Automotive Engineering, Fujian University of Technology
关键词:
旋压轮; 视觉测量; 低对比度; 行为影响; 测量能力分析
Keywords:
spinning wheels; vision measurement; low contrast; behavior influence; measurement capability analysis
分类号:
TH124
DOI:
10.3969/j.issn.2097-3853.2026.01.011
文献标志码:
A
摘要:
针对旋压轮低对比度特征测量难度大等问题,开展旋压轮视觉测量系统研究,搭建了基于组合照明的旋压轮视觉测量装置,构建了视觉测量行为规划分析机制,设计了低对比度特征提取方案,并提出视觉测量行为优化与能力评价策略。以某型号旋压轮低对比度特征为对象,开展测量行为和测量能力分析实验,结果表明,通过行为优化,低对比度特征的测量均值波动幅度为3.4 μm,测量误差可控制在3.5 μm 内,测量波动极差在1.4~5 μm 之间,对同族零件低对比度测量误差在4~9 μm 之间波动,系统具有较高的测量精度和较好的稳定性,能够满足旋压轮低对比度特征的测量需求。
Abstract:
Aiming at the difficulty of measuring the low contrast features of spinning wheels, a vision measurement system of spinning wheels was studied. A vision measurement device of spinning wheel based on combined illumination was established firstly. A visual measurement behavior planning and analysis mechanism was constructed. A low contrast feature extraction scheme was designed, and a visual measurement behavior optimization and capability evaluation strategy was proposed. After that, a certain type of spinning wheel with low contrast features was taken as the research object, the measurement behavior and measurement capability analysis experiments were carried out. Results show that through behavior optimization, the average fluctuation amplitude of low contrast features is about 3.4 μm, the measurement error can be controlled within 3.5 μm, and the measurement fluctuation range is between 1.4 μm and 5 μm. The measurement error for other parts within the same family is between 4 and 9 μm. This system has high measurement accuracy and good stability, which can meet the requirements for measuring the low contrast features of spinning wheels.

参考文献/References:

［1］ 林忠钦，于忠奇，戴冬华，等. 复杂高筋薄壁构件旋压-增材复合制造技术发展与展望［J］. 航空学报，2023，44（9）：1-24.［2］ 巢渊，曹震，杜帅帅，等. 大尺寸圆形零部件尺寸高精度视觉测量方法［J］. 电子测量技术，2024，47（11）：138-150.［3］ 刘凌霄，王德成，程鹏，等. 基于机器视觉的光照强度修正方法研究［J］. 制造业自动化，2022，44（9）：1-4，35.［4］ 刘利平，孙建，孙文悦. 改进Zernike矩的亚像素圆孔类零件测量方法［J］. 电子测量技术，2023，46（4）：69-77.［5］ LI B. Research on geometric dimension measurement system of shaft parts based on machine vision［J］. EURASIP Journal on Image and Video Processing，2018，2018（1）：101.［6］ 杜旺哲，陈康辉，李旭为，等. 高温H型钢截面尺寸视觉测量方法研究［J］. 机械工程学报，2025，61（6）：43-52.［7］ 欧建国. 基于精密定位平台的大尺寸零件智能视觉测量系统研究［D］. 广州：广东工业大学，2019.［8］ 孙燮华. 数字图像处理：Visual C#.NET编程与实验［M］. 北京：机械工业出版社，2010.［9］ 王晓杰. 基于机器视觉的低对比度成像物体尺寸测量系统研究［D］. 马鞍山：安徽工业大学，2022.［10］ YU J B，CHENG X，LU L，et al. A machine vision method for measurement of machining tool wear［J］. Measurement，2021，182：109683.［11］ 李执. 基于Halcon的金属工件尺寸测量方法研究［D］. 桂林：桂林电子科技大学，2022.［12］ MAJESKE K D. Approving vision-based measurement systems in the presence of within-part variation［J］. Quality Engineering，2012，24（1）：49-59.［13］ 张娅岚，罗素文，王代华. 测量系统Gage R&R在生产过程质量改进中的实践研究［J］. 现代信息科技，2021，5（20）：167-170，174.

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更新日期/Last Update: 2026-02-25