【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.更多还原

【Abstract】 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.更多还原