摘要
研制了基于同轴视觉传感、DSP和开放式数控系统的在线检测与控制系统,获得了火花簇射的视觉图像,发现同轴最大火花簇射长度(火花簇射图像中不同亮度带的最大像素数)与最低的切割面粗糙度具有很好的对应关系。利用这一规律,进行了激光切割质量的实时检测与自寻优控制。结果表明,系统可以迅速的找到最佳切割速度,获得该工艺条件下切割面近下缘粗糙度最小。
A sensing and control system,which includes coaxial vision sensor,DSP processor and open NC system,was designed for CO2 laser cutting.By coaxially detecting the images of the sparks jet,it is found that the maximal sparks length of the coaxial image,which can be determined by the highest pixels of different brightness ranges of the sparks image,corresponds to the best roughness of cutting face.Experiments for self-optimizing control of laser cutting quality were performed by utilizing the images of sparks jet.The results show that the optimal cutting speed for the best roughness of the bottom edge could be found automatically and quickly.
出处
《焊接学报》
EI
CAS
CSCD
北大核心
2007年第4期58-60,共3页
Transactions of The China Welding Institution
基金
国家自然科学基金资助项目(50175061)
清华大学重点研究基金项目(012-101050)
关键词
激光切割
质量检测
视觉传感
自寻优控制
laser cutting
quality monitoring
visual vision
self-optimizing control
