钛合金微电阻点焊电极间电压质量检测技术

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

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

1.
Hubei Key Lab for Engineering Structural Analysis and Safety Assessment, Huazhong University of Science and Technology, Wuhan 430074, China
2.
Nanjing Kisen International Engineering Co., Ltd, Nanjing 210036, China

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.
- 微电阻点焊 /
- 电压曲线 /
- 质量监控 /
- 人工神经网络
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.
- small-scale resistance spot welding /
- voltage waveform /
- quality monitoring /
- artificial neural network