Control of weld penetration depth using relative fluctuation coefficient as feedback

Shuangyang Zou, Zhijiang Wang (), Shengsun Hu, Wandong Wang and Yue Cao
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Shuangyang Zou: Tianjin University
Zhijiang Wang: Tianjin University
Shengsun Hu: Tianjin University
Wandong Wang: Tianjin University
Yue Cao: Tianjin University

Journal of Intelligent Manufacturing, 2020, vol. 31, issue 5, No 9, 1203-1213

Abstract: Abstract 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 (CRF) 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.

Keywords: Arc sensing; Weld pool surface; Nonlinear model; Predictive control; Weld penetration; Penetration depth; GMAW-P (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10845-019-01506-8

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