工艺参数搭配是否合理直接决定焊接过程电弧能量信号特征,进而影响电弧稳定性和焊缝成形质量。利用局部均值分解(Local Mean Decomposition,简称LMD)对采集的交直流双丝埋弧焊电流信号进行自适应分解,获得若干个具有真实物理意义的PF(Product Function)分量,并对PF分量集进行能谱熵计算,实现对双丝埋弧焊工艺参数合理性定量评估。结果表明,利用电弧电流信号PF分量能量熵能有效反映出不同焊接工艺条件下电弧能量的变化特征,能有效实现对交直流双丝埋弧焊工艺参数搭配合理性的评估。
The sets of process parameters directly determined the arc energy signal characteristics, which can affect the stability of arc and weld quality. The local mean decomposition method was used to decompose the collected current signal into a number of product functions (PFs), and then the PFs were selected for the energy entropy calculation to achieve reasonable quantitative assessment to the double wire submerged arc welding process parameters. The experimental and numerical results are provided to confirm the effectiveness of this approach to extract the arc physical information related to welding quality. The energy entropy of the PFs from arc current signal component can effectively reflect the variation of arc energy under different conditions, which can effectively achieve the reasonable assessment of double-wire submerged arc welding process parameters.