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作 者:沈莹吉[1] 王克鸿[2] 潘明财[2] 陈菲[2]
机构地区:[1]浙江纺织服装职业技术学院机电与轨道交通学院,宁波315211 [2]南京理工大学材料科学与工程系,南京210094
出 处:《焊接学报》2012年第1期105-108,118,共4页Transactions of The China Welding Institution
摘 要:针对MAG焊电弧光谱特点,采用被动式视觉传感方法,利用CCD摄像机配合近红外复合滤光系统消除弧光干扰,获取MAG焊熔池图像.从MAG焊焊接缺陷产生的机理及熔池流态出发,采用同步对比试验,研究了熔池图像特征与焊接缺陷的映射关系,提取出表面气孔、焊塌、焊穿等焊接缺陷所对应的熔池图像特征.结果表明,一种焊接缺陷往往有多种视觉图像特征,通过熔池图像特征判断表面气孔、焊塌、焊穿等焊接缺陷具有良好可行性,为基于视觉的焊接缺陷自动在线预测提供了技术依据.A passive vision sensing system for taking the image of MAG welding pool had been set up.CCD and the near-infrared compound filters system were used to eliminate the arc disturbance,by which clear images were obtained.The relationship between image characteristic information and the weld defect was studied by sync contrast experiments.The visual characters of the pore,weld collapse and the other defect were extracted.Experimental results show that it is feasible to judge the defect by visual characters which offers a technological foundation for automatic identification of welding defect on base of vision sensing.
关 键 词:熔化极氧化性混合气体保护焊 视觉传感 焊接缺陷 图像特征
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