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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。
Whether the process parameters collocate directly determines the characteristics of the arc energy signal in the welding process, thereby affecting the arc stability and the quality of the weld formation. The local Mean Decomposition (LMD) is used to adaptively decompose the acquired AC / DC double-wire SAW current signals to obtain several PFs with real physical meaning. The PF component sets The spectral entropy calculation can be used to quantitatively evaluate the rationality of double-wire submerged arc welding process parameters. The results show that using the energy entropy of the PF component of the arc current signal can effectively reflect the variation characteristics of the arc energy under different welding conditions and can effectively evaluate the matching rationality of the parameters of the AC / DC double-wire submerged arc welding.