钛合金微电阻点焊电极间电压质量检测技术  

Quality assessment using dynamic voltage characteristics in small scale resistance spot welding of titanium alloy

作　　者：赵大伟[1] 王新阳 王元勋[1] 杨浩[1] 张磊[1] 

机构地区：[1]华中科技大学土木工程与力学学院力学系,武汉430074 [2]南京凯盛国际工程有限公司,南京210036

出　　处：《焊接学报》2014年第1期33-36,114,共4页Transactions of The China Welding Institution

基　　金：华中科技大学创新研究院技术创新基金资助项目(01-18-240036)

摘　　要：文中针对微点焊的特点采用电压信号监控点焊质量.焊接过程中电压通过自动数据采集系统获取.首先分析并解释了电压曲线的变化趋势,指出电压曲线的峰值就是β峰值;进而从电压曲线中提取了4个特征值用于预测熔核直径并将其作为人工神经网络的输入.预测输出的熔核直径与实测直径的误差为0.13 mm,结果表明,利用电压信号监测钛合金微电阻点焊质量是一种非常有效、经济的手段.The voltage between the electrodes in smallscale resistance spot welding( SSRSW) of titanium alloy was collected by data acquisition system. The experiments revealed that the dynamic voltage signal included a lot of welding quality information. In order to demonstrate this finding and monitor the welding quality,the back-propagation artificial neural network( ANN) was employed to forecast the nugget diameter. The maximum predicted error of ANN was about 6. 5%. Adjusting and monitoring the voltage waveform could be used to forecast the formation of weld nugget and monitor the quality of welded joints.

关 键 词：微电阻点焊 电压曲线 质量监控 人工神经网络 

分 类 号：TG115.28[金属学及工艺—物理冶金]