By using alternating current plasma arc welding,the influences were studied of such parameters as welding curent,arc voltage,welding speed,wire feed rate,and magnitude of ion gas flow on front melting width,wdle rei...By using alternating current plasma arc welding,the influences were studied of such parameters as welding curent,arc voltage,welding speed,wire feed rate,and magnitude of ion gas flow on front melting width,wdle reinforcement,and back melting width of LF6 aluminum alloy.Model of the formation of welding seam in alternating current plasma arc welding of aluminum was set up with the method of artificial neural neural network - BP algorithm. Qyakuty of formation was consequently predicted and evaluated.The experimental result shows that,compared with other modeling methods,artificial network model can be used to more accurately predict formation of weld,and to guide the production practice.展开更多
埋弧焊交流方波电弧电信号存在畸变,影响焊接过程电弧稳定性和焊缝成形质量,针对于此,在对采集的埋弧焊交流方波电弧电流信号进行小波包降噪后,利用局部均值分解(local mean decomposition,LMD)对电弧电流信号进行自适应分解,获得若干...埋弧焊交流方波电弧电信号存在畸变,影响焊接过程电弧稳定性和焊缝成形质量,针对于此,在对采集的埋弧焊交流方波电弧电流信号进行小波包降噪后,利用局部均值分解(local mean decomposition,LMD)对电弧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Hilbert变换及能量熵计算。结果表明,利用小波消噪与LMD能有效得到埋弧焊交流方波电流波形畸变的不同频率成分及其幅值在时间特征尺度上的变化特征,在此基础上通过Hilbert变换及能量熵计算可以有效提取反映焊接过程电弧稳定性和焊缝成形质量的电弧特征信息。展开更多
文摘By using alternating current plasma arc welding,the influences were studied of such parameters as welding curent,arc voltage,welding speed,wire feed rate,and magnitude of ion gas flow on front melting width,wdle reinforcement,and back melting width of LF6 aluminum alloy.Model of the formation of welding seam in alternating current plasma arc welding of aluminum was set up with the method of artificial neural neural network - BP algorithm. Qyakuty of formation was consequently predicted and evaluated.The experimental result shows that,compared with other modeling methods,artificial network model can be used to more accurately predict formation of weld,and to guide the production practice.
文摘埋弧焊交流方波电弧电信号存在畸变,影响焊接过程电弧稳定性和焊缝成形质量,针对于此,在对采集的埋弧焊交流方波电弧电流信号进行小波包降噪后,利用局部均值分解(local mean decomposition,LMD)对电弧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Hilbert变换及能量熵计算。结果表明,利用小波消噪与LMD能有效得到埋弧焊交流方波电流波形畸变的不同频率成分及其幅值在时间特征尺度上的变化特征,在此基础上通过Hilbert变换及能量熵计算可以有效提取反映焊接过程电弧稳定性和焊缝成形质量的电弧特征信息。
