摘要
采用分布式多传感器同步采集系统实现铝合金点焊质量实时监测,并利用LABVIEW图形化语言编制相关数据处理软件。研究发现:焊点内喷溅与点焊电压和电极位移信号波形'下榻'现象相关联;电极压力所产生的高频脉冲强度和持续时间与内喷溅强弱有关,三种特征信息根据内喷溅严重程度,同时发生或个别出现。所提取的9种特征信息能够反映点焊质量,信噪比高,可为实现铝合金点焊质量分类莫定基础。采用主成分分析可进一步实现信息融合和数据压缩,点焊质量判断准确率达98%。
Resistance spot welding quality real-time monitoring of aluminum alloy is realized by distributed multiple-sensor synchronous collection system and the related data processing software is also developed by using LABVIEW graphical language.The results show that the endo-expulsion in spot welding is related to the notching curve of voltage and electrode displacement signal.Moreover,there is a correlation between the high frequency impulse amplitude and duration of the electrode pressure signal and the expulsion strength index,and three characteristics simultaneously or separately occur according to the expulsion strength index in spot welding.Resistance spot welding quality can be reflected by nine characteristics of high signal-to-noise ratio,and they become the base of on-line quality classification of aluminum alloy spot welding in future.Furthermore,using principal component analysis may implement the information fusion and data compression.The percentage of spot welding quality classification accuracy can reach 98%.
作者
潘存海
杜素梅
宋永伦
李桓
PAN Cunhai;DU Sumei;SONG Yongun;LI Huan(College of Mechanical and Engineering,Tianjin University of Sciencea nd Technology,Tianfin 300222;College of Mechanical Engineering and Applied Electronics Technology,Beijing University of Technology,BeOing 100085;College of Material Science and Engineering,Tianjin University,Tianjin 300072)
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2007年第8期181-185,共5页
Journal of Mechanical Engineering
基金
天津市自然科学基金(05YFJMJC02600)
天津科技大学人才引进(20050404)资助项目。
关键词
电阻点焊
铝合金
特征提取
多信息融合
质量分类
Resistance spot welding
Aluminum alloy
Characteristic information extraction
Multiple information fusion
Quality classifications
