Arc sound model for pulsed GTAW and recognition of different penetration states
Arc sound model for pulsed GTAW and recognition of different penetration states
复制标题
脉冲 GTAW 的电弧声模型及不同熔深状态的识别
DOI：
10.1007/s00170-020-05462-z
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发表时间：
2020-06-17
影响因子：
3.4
通讯作者：
Chen, Shanben
中科院分区：
文献类型：
--
作者：
Chen, Chao;Xiao, Runquan;Chen, Shanben
基于电弧声信号的脉冲钨极氩弧焊（GTAW）焊缝缺陷检测一直是工业界和学术界的研究热点。然而，脉冲GTAW电弧发声机理模型还有待进一步研究。本文研制了一套脉冲GTAW焊接过程中电弧电压、焊接电流、电弧声和熔池图像同步采集系统。理论研究和实验证明，脉冲GTAW电弧声信号与输入电弧瞬时功率的变化率成正比。提出了一种电弧声激励模型，解释了电弧声信号产生的机理.模型输入为电弧电压和焊接电流，输出为电弧声信号。实验证明，所提出的激励模型是一个非线性模型。为此，设计了一个动态长短期记忆（DLSTM）网络模型来辨识非线性模型。结合电弧声激励模型，讨论了不同熔透状态对电弧声信号的影响。最后，提出了一种基于DLSTM模型的侵彻状态识别方法，可以识别未熔合、正常侵彻和烧穿等不同侵彻状态。实验结果表明，该方法具有较高的精度和鲁棒性.
Weld defect detection based on arc sound signal in pulsed gas tungsten arc welding (GTAW) has been a hot research topic in industry and academia. However, arc vocal mechanism model of pulsed GTAW remains to be studied further. In this paper, a sensing system is developed to collect arc voltage, welding current, arc sound, and weld pool images synchronously during pulsed GTAW process. Theoretical researches and experiments verify that the arc sound signal of pulsed GTAW is proportional to the change rate of the instantaneous arc power input. Furthermore, an arc sound excitation model is proposed to explain the mechanism of arc sound signal. The model inputs are arc voltage and welding current; the model output is the arc sound signal. The experiments prove that the proposed excitation model is a non-linear model. Therefore, a dynamic long short-term memory (DLSTM) network model is designed to identify the non-linear model. Furthermore, the effects of different penetration states on arc sound signal are discussed in combination with the proposed arc sound excitation model. Finally, a novel method based on DLSTM model is built to recognize different penetration states: lack of fusion, normal penetration, and burn through. The proposed method was verified to be effective with high accuracy and robustness.