Control of weld penetration depth using relative fluctuation coefficient as feedback

被引:20
|
作者
Zou, Shuangyang [1 ]
Wang, Zhijiang [1 ]
Hu, Shengsun [1 ]
Wang, Wandong [1 ]
Cao, Yue [1 ]
机构
[1] Tianjin Univ, Sch Mat Sci & Engn, Tianjin Key Lab Adv Joining Technol, Tianjin 300072, Peoples R China
基金
中国国家自然科学基金;
关键词
Arc sensing; Weld pool surface; Nonlinear model; Predictive control; Weld penetration; Penetration depth; GMAW-P; REFLECTED LASER LINES; POOL SURFACE; PULSED GTAW; OSCILLATION; GMAW; BEHAVIORS;
D O I
10.1007/s10845-019-01506-8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The monitoring and control of weld penetration in pulsed gas metal arc welding (GMAW-P) is considerably challenging, especially in field applications. The metal transfer and pulse current in GMAW-P complicate the identification of weld penetration. In previous studies, the authors found that both the change in arc voltage during the peak current period and the average arc voltage during the peak current period can be used for condition monitoring of weld pool surface and thus for the estimation of GMAW-P penetration depth. In the present work, the relative fluctuation coefficient (C-RF) of weld pool surface is proposed by combining these two signals to predict the weld penetration depth. Model predictive control using this coefficient as feedback is employed to control the penetration depth. The experimental results show that uniform weld penetration depth can be obtained by the adaptive control algorithm. The practice attempted in this work can be expected to be a candidate solution for GMAW-P penetration control, which is easy to implement in field applications.
引用
收藏
页码:1203 / 1213
页数:11
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