Scholarlink

<p>Accurate identification of welding parameters is essential for ensuring weld quality and reducing trial and error procedures in GMAW pipe welding. This study presents an inverse method for directly estimating the welding current and welding travel speed. A transient finite-element thermal model was developed to generate direct temperature responses, and a conjugate-gradient algorithm was employed to retrieve the unknown parameters from temperature measurements on the pipe surface. Comprehensive sensitivity analyses were carried out to evaluate the influence of sensor number, sensor placement, measurement distance, and measurement error. The results demonstrate that the proposed method can accurately estimate both welding current and travel speed based on only two optimally positioned sensors even if measurement error is involved. The results also reveal that the measurement points located at weld start provided stronger temperature information and superior convergence behavior compared with the points near the weld end. Additional verification cases further confirmed the robustness and general applicability of the approach. The proposed method can be applied for various kinds of welding as well as welding materials.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Inverse determination of welding current and travel speed for GMAW butt-welded pipe joint

  • 期刊论文

  • 发表日期：

    2026年2月28日

查看全文
  • Van-The Than,
  • Thi-Thao Ngo,
  • Jin H. Huang,
  • Chi-Chang Wang,
  • Khac-Khanh Bui,
  • Thanh-Phu Nguyen,
  • Danh-Dao Nguyen

摘要

Accurate identification of welding parameters is essential for ensuring weld quality and reducing trial and error procedures in GMAW pipe welding. This study presents an inverse method for directly estimating the welding current and welding travel speed. A transient finite-element thermal model was developed to generate direct temperature responses, and a conjugate-gradient algorithm was employed to retrieve the unknown parameters from temperature measurements on the pipe surface. Comprehensive sensitivity analyses were carried out to evaluate the influence of sensor number, sensor placement, measurement distance, and measurement error. The results demonstrate that the proposed method can accurately estimate both welding current and travel speed based on only two optimally positioned sensors even if measurement error is involved. The results also reveal that the measurement points located at weld start provided stronger temperature information and superior convergence behavior compared with the points near the weld end. Additional verification cases further confirmed the robustness and general applicability of the approach. The proposed method can be applied for various kinds of welding as well as welding materials.