A review of wire arc additive manufacturing of titanium alloys
该高被引综述系统总结了线弧增材制造钛合金构件的工艺、组织与性能。
Publications
论文成果
本页汇集代表性高被引论文与 Google Scholar 近期条目，并支持按研究方向筛选。
Highlights
代表性论文
A comprehensive review of welding defect recognition from X-ray images
该文全面综述了焊缝 X 射线图像缺陷自动识别方法的研究进展。
On the effect of the attention mechanism for automatic welding defects detection based on deep learning
该研究系统分析了不同注意力机制在工业焊缝缺陷检测中的作用与局限。
Publications
论文列表
2026
Effects of magnetic field orientation on bead formation and microstructure in TIG welding
Y She, Z Sun, X Liu, ZN Ma, Z Feng, X Zhao, C Cao, X Yu. Materials Letters, 140372.
2026
Beyond data scarcity: achieving cross-wire generalization in single-pass gas metal arc welding through inter-material feature transfer learning
W Luo, Y He, Z Wen, Z Lin, X Yu. Welding in the World, 1-17.
2025
RapidX annotator: A specialized software tool for industrial radiographic image annotation and enhancement
Y Li, H Qiu, X Wang, N Dong, X Yu. SoftwareX 31, 102328.
2025
Deep learning-based automated detection of welding defects in pressure pipeline radiograph
W Zhang, W Liu, X Yu, D Kang, Z Xiong, X Lv, S Huang, Y Li. Coatings 15(7), 808.
2025
A comprehensive review of welding defect recognition from X-ray images
X Wang, U Zscherpel, P Tripicchio, S D'Avella, B Zhang, J Wu, Z Liang, X Yu. Journal of Manufacturing Processes 140, 161-180.
2025
On the effect of the attention mechanism for automatic welding defects detection based on deep learning
X Wang, S D'Avella, Z Liang, B Zhang, J Wu, U Zscherpel, P Tripicchio, X Yu. Expert Systems with Applications 268, 126386.
2024
Zoom in on the target network: A deep learning model for welding defect detection in radiographic images
该研究面向焊缝射线图像开展自动缺陷检测。
2024
Automated welding defect detection using point-rend ResUNet
该研究提出了面向焊缝射线图像的分割式缺陷检测方法。
2021
A review of wire arc additive manufacturing of titanium alloys
该高被引综述系统梳理了线弧增材制造钛合金构件的工艺、组织与性能。
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