[1]朱广磊,花海燕,王筠翔.碟刹盘孔组位置度视觉测量及误差链分析[J].福建工程学院学报,2023,21(03):249-256.[doi:10.3969/j.issn.1672-4348.2023.03.008]
 ZHU Guanglei,HUA Haiyan,WANG Yunxiang.Vision measurement of position degree and error link analysis for holes in brake discs[J].Journal of FuJian University of Technology,2023,21(03):249-256.[doi:10.3969/j.issn.1672-4348.2023.03.008]
点击复制

碟刹盘孔组位置度视觉测量及误差链分析()
分享到:

《福建工程学院学报》[ISSN:2097-3853/CN:35-1351/Z]

卷:
第21卷
期数:
2023年03期
页码:
249-256
栏目:
出版日期:
2023-06-25

文章信息/Info

Title:
Vision measurement of position degree and error link analysis for holes in brake discs
作者:
朱广磊花海燕王筠翔
福建工程学院机械与汽车工程学院
Author(s):
ZHU Guanglei HUA Haiyan WANG Yunxiang
School of Mechanical and Automotive Engineering, Fujian University of Technology
关键词:
视觉测量位置度误差链误差分离行为优化
Keywords:
vision measurement position degree error link error separation behavior optimization
分类号:
TP391
DOI:
10.3969/j.issn.1672-4348.2023.03.008
文献标志码:
A
摘要:
针对孔组位置度视觉测量过程多误差源影响测量效果的问题,以碟刹盘为研究对象,开展孔组位置度视觉测量及误差链分析研究。建立了基于“特征—行为” 关联响应的孔组位置度视觉测量分析系统,提出了基于邻域搜索修正的位置度测量改进算法,设计了包含测量过程行为误差链分析及行为优化的位置度视觉测量流程,并以某型号碟刹盘为例进行位置度测量与误差分析实验。结果表明:对图像采集和图像处理过程实施多环节参数混合优化有利于降低多源误差带来的影响,运用“需求-应答”方式执行多阶段误差分析与分层优选,实现图像采集、图像处理、孔测量和位置度测量阶段的误差分离,有助于减少误差累积效应,提高测量的可靠性。
Abstract:
Aiming at the problem that the multi-source errors produced in the process of position measurement for holes are easy to affect the measurement accuracy, the vision measurement of position degree and error link analysis for holes were studied by taking the brake discs as the research object. The vision measurement and analysis system of position degree for holes based on “feature-behavior” correlation response was constructed, and the improved measurement algorithm based on neighborhood search correction was proposed. The position degree visual measurement process including error link analysis and behavior optimization was designed. Position measurement and error analysis were carried out with a certain type of disc brake disc as an example. Results show that the hybrid optimization of parameters for the process of image acquisition and image processing is beneficial for reducing the influence of multi-source errors. Using the “demand-response” method to perform multi-stage error analysis and hierarchical optimization can realize error separation among image acquisition, image processing, hole measurement and position measurement. It is benefit for reducing error accumulation, and improve the reliability of measurement.

参考文献/References:

[1] 郭建东,黄晓光,崔丽娟. 汽车刹车盘孔组位置度的组合检测[J]. 制造技术与机床,2020(8):130-133.[2] ANSELMETTI B. Generation of functional tolerancing based on positioning features[J]. Computer-Aided Design,2006,38(8):902-919.[3] 陈淑丽,常建强,许世军,等. 圆周均布孔位置度误差的通用测量程序[J]. 计量技术,2010(1)17-19.[4] 谢俊,李玉萍,左飞飞,等. 基于机器视觉的孔类零件尺寸在线检测[J]. 电子测量技术,2021,44(2):93-98.[5] 王鹏,石永强,孙长库. 发动机缸体结合面孔位置度测量方法的研究[J]. 仪器仪表学报,2013,34(1):51-56.[6] SHI Y Q,SUN C K,WANG P,et al. High-speed measurement algorithm for the position of holes in a large plane[J]. Optics and Lasers in Engineering,2012,50(12):1828-1835. [7] 黄金娜. 周向孔位置分布的机器视觉测量系统研究[D]. 杭州:浙江大学,2018:225-227.[8] 邓伟伦,于涛,詹洪陈,等. 基于视觉技术的非接触测量精度优化研究[J]. 电子测量技术,2022,45(5):118-123.[9] 陈朝. 孔组位置度视觉测量技术研究[D]. 长春:吉林大学,2015.[10] 孙慧霖,杨晓峰,安浩俊. 保持架铆钉孔位置度测量方法[J]. 轴承,2021(9):65-67.[11] 熊安辉. 圆周均布孔组位置度测量中切向误差的修正[J]. 现代制造工程,2009(3):134-135. [12] 李兵,李洋,孙彬,等. 基于路径分段寻优的零件孔组位置度算法[J]. 仪器仪表学报,2018,39(11):116-124.[13] 宋帅帅,黄锋,江燕斌. 基于机器视觉几何量测量技术研究进展分析[J]. 电子测量技术,2021,44(3):22-26.[14] 国家质量监督检验检疫总局,中国国家标准化管理委员会. 产品几何技术规范:GB/T 1958—2017[S]. 北京:中国标准出版社,2017.

相似文献/References:

[1]李纪强、孔令华、花海燕.法兰直线轴承视觉测量递阶式规划与行为分析[J].福建工程学院学报,2021,19(01):19.[doi:10.3969/j.issn.1672-4348.2021.01.004]
 LI Jiqiang,KONG Linghua,HUA Haiyan.Hierarchical planning and behavior analysis of visual measurement for the flanged linear bearing[J].Journal of FuJian University of Technology,2021,19(03):19.[doi:10.3969/j.issn.1672-4348.2021.01.004]

更新日期/Last Update: 2023-06-25