摘要
采用自行研制的多传感器激光焊接实时监测系统,以CO2激光拼焊过程中的蓝紫光辐射（400~440 nm）、红外辐射（1 200~1 700 nm）以及可听声（20~20 kHz）等三种信号作为被检测参量,进行了信号的在线采集与记录,通过时域、频域以及时频分析,实现信号中有效信息的挖掘.结果表明,7 000 Hz以上的高频段光声信号成分,尤其是蓝紫光信号,较好地反映了熔池与小孔的稳定性,可以用于识别间隙过大造成的焊缝质量问题.
The blueviolet radiation（400-440 nm）,infrared radiation（1 200-1 700 nm） and audio sound（20-20 kHz） are used as signals detected by a multi-sensor real-time monitoring system in the process of CO2 laser butt welding.The signals can be collected and recorded online.The valuable information in the signals was found out by time-domain,frequency domain and time-frequency analysis.According to the signal features,it can be concluded that the high frequency part（higher than 7 000 Hz） of the optical and acoustic signals,especially the blueviolet optical radiation signal can reflect the stability of welding pool and keyhole well,and can be used to identify the weld seam defects caused by large gap joint.
出处
《焊接学报》
EI
CAS
CSCD
北大核心
2011年第7期95-99,118,共5页
Transactions of The China Welding Institution
关键词
激光焊接
拼缝间隙
可听声
蓝紫光
红外辐射
laser-welding
gap joint
audible sound
ultraviolet emission
infrared emission
