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<p>In the wire-filled GTAW(gas tungsten arc welding), the arc length is prone to random fluctuations due to uneven workpiece surface height and tungsten electrode wear, which disrupts the metal transfer and affects the quality of welding. Realizing real-time control of the arc length is crucial to addressing this issue. However, the current methods for arc length control in wire-filled GTAW do not adapt to the metal transfer mode, making it challenging to overcome the interference caused by metal transfer on arc length control. Therefore, in response to this challenge, this paper proposes a real-time arc length control method for wire-filled GTAW based on EMD-SVM (empirical mode decomposition-support vector machine) adaptive metal transfer mode. An arc length model adaptive to the metal transfer mode is established by analyzing the arc voltage signal characteristics under different metal transfer modes, and a method for extracting arc length feature signals based on NBM (Naive Bayes model) is proposed. To adapt to different metal transfer modes, a real-time recognition method for metal transfer modes based on EMD-SVM is introduced, achieving a recognition accuracy rate of 100%. Subsequently, a dual incremental fuzzy PID arc length controller adaptive to the metal transfer mode is designed, which can adaptively control the mode according to the metal transfer mode. Finally, experiments on arc length control in wire-filled GTAW demonstrate that this method overcomes the interference of metal transfer, achieving arc length control in wire-filled GTAW with a maximum error of no more than 0.20&#xa0;mm after control.</p>

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Based on EMD-SVM adaptive metal transfer mode for real-time arc length control in wire-filled GTAW

  • 期刊论文

  • 发表日期：

    2025年9月3日

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  • Aiting Jia,
  • Dongqian Wang,
  • Bo Hong,
  • Li Yin,
  • Xiangwen Li,
  • Rongrong Liu

摘要

In the wire-filled GTAW(gas tungsten arc welding), the arc length is prone to random fluctuations due to uneven workpiece surface height and tungsten electrode wear, which disrupts the metal transfer and affects the quality of welding. Realizing real-time control of the arc length is crucial to addressing this issue. However, the current methods for arc length control in wire-filled GTAW do not adapt to the metal transfer mode, making it challenging to overcome the interference caused by metal transfer on arc length control. Therefore, in response to this challenge, this paper proposes a real-time arc length control method for wire-filled GTAW based on EMD-SVM (empirical mode decomposition-support vector machine) adaptive metal transfer mode. An arc length model adaptive to the metal transfer mode is established by analyzing the arc voltage signal characteristics under different metal transfer modes, and a method for extracting arc length feature signals based on NBM (Naive Bayes model) is proposed. To adapt to different metal transfer modes, a real-time recognition method for metal transfer modes based on EMD-SVM is introduced, achieving a recognition accuracy rate of 100%. Subsequently, a dual incremental fuzzy PID arc length controller adaptive to the metal transfer mode is designed, which can adaptively control the mode according to the metal transfer mode. Finally, experiments on arc length control in wire-filled GTAW demonstrate that this method overcomes the interference of metal transfer, achieving arc length control in wire-filled GTAW with a maximum error of no more than 0.20 mm after control.