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面向曲轴轴肩的高效视觉检测系统开发 被引量:3

Development of high-efficiency vision detection system orienting towards crankshaft shoulder
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摘要 为了解决曲轴轴肩部位加工质量检测过程耗时长、效率低的问题,面向实际应用,开发了一种基于视觉的曲轴轴肩加工质量高效检测方法与检测系统。根据曲轴轴肩磨削加工过程中尺寸超差的原因,制定了轴肩尺寸公差超限的图像检测判据,设计了曲轴零件的载物成像、光源系统及检测平台,提出了轴肩尺寸超差的高效检测算法。实验结果表明:开发的视觉检测系统操作简单、使用方便,对轴肩尺寸超差检测的准确率为100%,大大提高了检测效率,可用于多种轴类零件的检测。 In order to improve the detecting efficiency of the crankshaft shoulder, a machine vision system for crankshaft rapid de- tecting was developed. Firstly, according to the crankshaft grinding process and the producing principle of over limit error, the im- age identifying criterion to judge the acceptable crankshaft part and the nonconforming product was provided. Secondly, the detec- tion platform of the crankshaft with part-hold and light imaging system was designed. Some high-efficiency image processing algo- rithms was described. Finally, the vision system performance testing experiments were carried out. Experimental results indicate that the detecting accuracy rate of the crankshaft vision detection system is 100% and the detection system is easy to use. The de-tecting system has high measurement efficiency, which could be used to check many shaft parts in manufacture.
作者 张从鹏 侯波
出处 《现代制造工程》 CSCD 北大核心 2017年第3期122-125,共4页 Modern Manufacturing Engineering
基金 北京市重点学科建设项目(2015NCUTXN017)
关键词 机器视觉 零件检测 曲轴轴肩 图像处理 computer vision parts detection crank shaft shoulder image processing
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