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Computational Weld Mechanics and Optimization of Welding Procedures, Welds, and Welded Structures

Computational Weld Mechanics and Optimization of Welding Procedures, Welds, and Welded Structures
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Weld image deep learning-based on-line defects detection using convolutional neural networks for Al alloy in robotic arc welding

Journal of Manufacturing Processes, 2019
Accurate on-line weld defects detection is still challenging for robotic welding manufacturing due to the complexity of weld defects. This paper studied deep learning–based on-line defects detection for aluminum alloy in robotic arc welding using ...
Zhifen Zhang
exaly   +2 more sources

An Effective Method of Weld Defect Detection and Classification Based on Machine Vision

IEEE Transactions on Industrial Informatics, 2019
In order to effectively identify and classify weld defects of thin-walled metal canisters, a weld defect detection and classification algorithm based on machine vision is proposed in this paper.
Jun Sun
exaly   +2 more sources

Numerical simulation of the temperature field, weld profile, and weld pool dynamics in laser welding of aluminium alloy

Optik (Stuttgart), 2021
A transient 3-d thermo-fluid model is developed to simulate the heat transfer and weld pool dynamics during the deep penetration laser welding of aluminium alloy AA2024.
A. Duggirala, Paramasivan Kalvettukaran, B. Acherjee, S. Mitra   +3 more
semanticscholar   +1 more source

Effects of post-weld heat treatment on the microstructure and mechanical properties of laser-welded NiTi/304SS joint with Ni filler

Materials Science & Engineering: A, 2020
Adding Ni as filler material is one of the effective methods to restrain the cracks in laser-welded joints of NiTi/stainless steel (SS), while the formation of Ni3Ti at the NiTi/Ni interface result in uneven distribution of the microstructure of the ...
Yuhua Chen, Song-lin Sun, Timing Zhang, Xingwen Zhou, Shuhan Li   +4 more
semanticscholar   +1 more source

A robust weld seam recognition method under heavy noise based on structured-light vision

Robotics Comput. Integr. Manuf., 2020
Structured-light vision systems are widely used in robotic welding. The key to improving the robotic visual servo performance and weld quality is the weld seam recognition accuracy.
Nianfeng F. Wang, Kaifan Zhong, Xiaodong Shi, Xianmin Zhang   +3 more
semanticscholar   +1 more source

End-to-end prediction of weld penetration: A deep learning and transfer learning based method

, 2020
Weld penetration identification is a long-standing and challenging problem due to the spatial limitation in sensing the back-side of weld joints in practical welding, and the key characteristic information of welding is difficult to be defined and ...
Wenhua Jiao, Qiyue Wang, Yongchao Cheng, Yuming Zhang   +3 more
semanticscholar   +1 more source