Investigation on arc sound and metal transfer modes for on-line monitoring in pulsed gas metal arc welding

The arc sound was found to be strongly related to both process parameters and weld quality, like voltage and current signals, in gas metal arc welding. In this investigation, the acquired welding arc sound signal along with current and voltage signals were analyzed in time domain as well as frequency domain to correlate them with the various process parameters and metal transfer modes. The arc sound of continuous as well as pulsed gas metal arc welding at various process parameters was also compared. A major variation of auxiliary arc sound frequency peaks was observed due to change of pulse shape as evidenced by frequency domain analysis. The arc sound was also used to detect welding defects.     

脉冲电流相位差对双丝P-GMAW焊电弧稳定性及焊缝成形的影响

利用焊接过程参数与过程图像同步采集系统,研究了平均电流均为150 A时两脉冲电弧的电流相位差对电弧稳定性和焊缝成形的影响.结果表明,脉冲电流相位差为零(两电弧同相位)时,两峰值电弧相互吸引并融为一体,两基值电弧互不影响,焊接过程稳定,断弧现象很少,焊缝成形良好;随着脉冲电流相位差的增大,断弧现象逐渐增多,焊缝在宽度上出现不均匀;脉冲电流相位差为180°时,基值电弧被峰值电弧强烈吸引,以弧形跨越两焊丝之间的空间后融入峰值电弧中,弧长显著增长,断弧现象严重,重新引弧时引起较多飞溅,焊缝成形较差.     

P-GMAW正面熔透特征量及视觉传感方位

在焊缝成形过程控制中,由于受焊接结构的限制,常常需要从工件正面来检测熔透情况.文中分析了薄板脉冲熔化极气体保护焊(P-GMAW)全熔透过程的成形规律,从熔融金属体积量出发,提出了可以反映熔透的正面熔池及焊缝特征参量.从多个角度观察熔池,获取了清晰的脉冲基值期间熔池图像,针对所提出的特征参量,分析了各个观察视角的优缺点.针对管焊缝,研究了其水平视角传感方法.     

Pulsed gas metal arc welding of Al–Cu–Li alloy

Abstract

An experimental Al–Cu–Li–Mg–Ag–Zr type alloy in the form of 13.7 mm thick plates was studied for its fusion characteristics using gas metal arc welding (GMAW) and pulsed gas metal arc welding (P-GMAW). High copper 2319 filler of 1.6 mm diameter was used. The burn-off characteristics of 2319 filler wire in GMAW and P-GMAW were experimentally determined, including the relation between pulse current and pulse duration for the desired one-drop detachment per pulse (ODPP) condition and feasible range of pulse parameters. The effect of welding parameters on bead geometry and shape relationships was investigated through beadon-plate experiments in the welding current range above the spray transition current. Reasonably good weld beads were obtained in P-GMAW at currents as low as 194 A and welding speeds of 45 cm min^–1. P-GMAW yielded significantly higher weld penetration compared to GMAW.     

基于神经网络模型的P-GMAW焊缝成形过程仿真

脉冲熔化极气体保护焊(P-GMAW)是一种高效、适应性强的焊接方法之一,在工业生产中得到了广泛的应用.文中以低碳钢P-GMAW为对象,研究其焊缝成形过程的建模与仿真方法.文中首先利用BP神经网络,建立了该过程的动态模型,然后利用该模型的稳态与动态仿真揭示了P-GMAW过程的成形规律.同时,文中提出了一种利用神经网络模型...     

基于P-GMAW摆动电弧传感的窄间隙坡口宽度自适应焊接

针对窄间隙自动化焊接过程中,组对误差、焊接热变形等因素导致的坡口宽度不一致问题,本文提出采用电弧传感方式对坡口宽度进行检测,并根据检测结果调节工艺参数,保证焊接质量的方法。通过研究坡口宽度偏差的提取算法,分析窄坡口条件下脉冲熔化极焊接的峰值电流、基值电流和平均电流信号的传感特征,提出以脉冲周期内的电流均值作为特征信号,利用侧壁平均法进行偏差提取的传感方式;确定了坡口宽度变化时,焊枪摆幅、焊接速度的调控方法,实现了适应坡口宽度变化的自动化焊接。窄间隙焊接试验表明,上述方法能够有效识别坡口宽度变化,及时对摆幅、焊速进行调整,可在坡口宽度变化时,保证侧壁熔合质量和焊层厚度均匀。研究结果对单道多层窄间隙焊接实现焊接自动化,保证焊接质量具有一定的参考价值。     

Multi-sensor based prediction of metal deposition in pulsed gas metal arc welding using various soft computing models

The deposition efficiency is an important economic factor in welding. A multitude of uncontrollable factors influence the metal deposition, which indicates the necessity of robust sensors with an intelligent system to monitor the process in real time. This paper attempts to develop artificial neural network (ANN) models to predict the weld deposition efficiency using the welding sound signal along with the welding current and the arc voltage signals in pulsed metal inert gas welding. Three different implementations of ANNs have been used: gradient descent error back-propagation, neuro-genetic algorithm and neuro-differential evolution. The results indicate that the sound signal kurtosis, used in conjunction with the current and the voltage signals, is a reliable indicator of deposition efficiency.     

基于RBF网络的P-GMAW焊缝成形过程建模

分析了薄板平板堆焊熔透的影响因素,利用径向基函数网络（RBFN）,建立了脉冲熔化极气体保护焊（P-GMAW）的焊缝成形过程模型.结果表明,在P-GMAW薄板堆焊中,以焊接规范为输入变量,利用该网络模型能很好的预测背面熔宽.