Online detection method of binocular vision based on mechanical error for bowl plug

被引：0
|
作者：
Zhang Z. [1 ,2 ]
Yin X. [1 ]
Yuan W. [1 ]
Zhou Z. [2 ]
Zhong L. [1 ]
机构：
[1] School of Software, Shenyang University of Technology, Shenyang
[2] Jiangsu Electromechanical Products Recycling Technology Key Construction Laboratory, Changshu
来源：
| 1600年 / Chinese Society of Astronautics卷 / 45期
关键词：
Binocular vision; Machining errors; Multithread; Online detection; Telecentric optic;
D O I：
10.3788/IRLA201645.1217002
中图分类号：
学科分类号：
摘要：
Bowl plugs were mainly used for plugging auxiliary holes on the engines, the processing precisions were high, required diameter tolerance was micrometer. At present the bowl plugs mechanical errors were mainly manual detections, manual detections precisions were low and can not meet the requirements of modern production online detections. Therefore proposes a method of used binocular vision to detect bowl plugs machining errors, put the bowl plugs on a rotating mechanism for constant speed rotations, two parallel cameras acquire multi groups diameter end face images. Used the proposed end face impurity removal method calibration test results, through data processing to obtain bowl plugs diameters and tapers mechanical errors. Set up a binocular vision online detection system for bowl plugs machining errors. The test results show that this method can meet the bowl plugs detection requirements and achieve online detections. © 2016, Editorial Board of Journal of Infrared and Laser Engineering. All right reserved.
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页数：8
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