Search Results - "Welding defects"

Deep learning-based identification of pipeline weld defects using automated ultrasonic testing.

Authors: Wu, Gang Luo, Jinheng Wang, Manqi et al.

Source: Nondestructive Testing & Evaluation. Apr2026, Vol. 41 Issue 4, p2321-2342. 22p.

Subjects: Ultrasonic testing, Welding defects, Principal components analysis, Deep learning, Artificial neural networks, Feature extraction, Optimization algorithms

A self-configuring transformer segmentation method for welding radiographic defect detection in steel pipes.

Authors: Guan, Keming Zhou, Yifeng Wang, Li et al.

Source: Nondestructive Testing & Evaluation. Apr2026, Vol. 41 Issue 4, p1968-1989. 22p.

Subjects: Welding defects, Image segmentation, Artificial neural networks, Steel pipe, Deep learning, Radiography, Image intensifiers

Tunneling Defect Analysis in 6‐mm aluminum Plates Using FSW Butt Joints: An Experimental and Numerical Study.

Authors: Mejbel, Mohanad Kadhim Abdullah, Isam Tareq Habib, Mohammad Rezwan

Source: Advances in Materials Science & Engineering. 4/11/2026, Vol. 2026, p1-17. 17p.

Subjects: Welding defects, Friction stir welding, Mechanical behavior of materials, Rotational motion, Temperature control, Welded joints, Material plasticity, Aluminum plates

Industrial Weld Defect Detection Based on Monocular Depth Estimation and Dual-Attention Point Cloud Network.

Authors: Zhao, Nannan Chen, Shijie

Source: Sensors (14248220). Jun2026, Vol. 26 Issue 11, p3321. 22p.

Fatigue Failure Mechanism and Crack Growth Behavior of Ti-6Al-4V ELI Titanium Alloy Welded Joints.

Authors: Liu, Jiajun Li, Yu Rui, Shao-Shi et al.

Source: Materials (1996-1944). Jun2026, Vol. 19 Issue 11, p2301. 13p.

Effect of Nb on Solidification Cracking, Mechanical Properties and Corrosion Resistance of 310S Austenitic Stainless-Steel Welded Joints.

Authors: Su, Yulu Wang, Dan Wu, Xulei

Source: Metals (2075-4701); May2026, Vol. 16 Issue 5, p554, 17p

YOLO-BP for detection of multi-scale and high intra-class variation electrode cap defects in resistance spot welding.

Authors: Zhao, Xiaomin Leong, Siow Hoo Lee, Beng Yong et al.

Source: PLoS ONE. 4/20/2026, Vol. 21 Issue 4, p1-22. 22p.

A Review on Solidification Cracking of Welding Aluminum Alloys: Mechanism, Influencing Factors and Crack Resistance of Filler Metal.

Authors: Gao, Zengchao Yu, Wei Liu, Kun

Source: Coatings (2079-6412); Apr2026, Vol. 16 Issue 4, p464, 22p

Ultrasonic Nondestructive Evaluation of Welded Steel Infrastructure: Techniques, Advances, and Applications.

Authors: Lappin, Elsie Silwal, Bishal Hedjazi, Saman et al.

Source: Applied Sciences (2076-3417); Apr2026, Vol. 16 Issue 7, p3206, 24p

Effect of Dynamic Recrystallization Response on Ductility Dip Cracking Susceptibility in Welds of High-Chromium Nickel-Based Alloys.

Authors: Singh, Anil Bezold, Andreas Mills, Michael J. et al.

Source: Metals (2075-4701); Apr2026, Vol. 16 Issue 4, p453, 32p

Advances in intelligent defect recognition method for oil and gas pipeline weld X-ray image.

Authors: Qian, Wei-Chao Dong, Shao-Hua Sun, Meng et al.

Source: Petroleum Science (KeAi Communications Co.). Apr2026, Vol. 23 Issue 4, p2136-2174. 39p.

ANALYSIS OF CRACK FAILURE IN Q490RW STEELWELDED JOINTS FOR CRUDE OIL STORAGE TANKS.

Authors: OUYANG, XIN XV, HAIJIAN WANG, DONGXV et al.

Source: Archives of Metallurgy & Materials. 2026, Vol. 71 Issue 1, p195-202. 8p.

Subjects: Welding defects, Crack propagation, Electron microscopy, Oil storage tanks, Metallography, Steel, Crystal orientation, Welded joints

A lightweight approach for accurate detection of pipeline weld defects.

Authors: Wang, Guansheng Luo, Renze Zeng, Xingjie et al.

Source: Nondestructive Testing & Evaluation. Mar2026, Vol. 41 Issue 3, p1447-1473. 27p.

Subjects: Welding defects, Welding, Object recognition (Computer vision), Artificial neural networks, Convolutional neural networks

A welding defect detection network based on multi-dimensional collaborative enhancement of spatial-frequency features.

Authors: Yang, Bo Liu, Shuai Wang, Xuan et al.

Source: Nondestructive Testing & Evaluation. Mar2026, Vol. 41 Issue 3, p1363-1383. 21p.

Subjects: Welding defects, Image processing, Industrial safety, Artificial neural networks, X-ray imaging

Multi-Type Weld Defect Detection in Galvanized Sheet MIG Welding Using an Improved YOLOv10 Model.

Authors: Xiao, Bangzhi Yang, Yadong He, Yinshui et al.

Source: Materials (1996-1944). Mar2026, Vol. 19 Issue 6, p1178. 19p.

Subjects: Welding defects, Deep learning, Computer vision, Engineering inspection, Edge computing, Sheet steel, Gas metal arc welding, Object recognition (Computer vision)

Quantification of Mechanical Factors in the Control of Weld Hot Cracking.

Authors: Wang, Wenda Maeda, Shintaro Ikushima, Kazuki et al.

Source: Materials (1996-1944). Feb2026, Vol. 19 Issue 4, p712. 24p.

Subjects: Mechanical models, Welding defects, Material plasticity, Temperature

A Composite Material Repair Structure: For Defect Repair of Branch Pipe Fillet Welds in Oil and Gas Pipelines.

Authors: Zhao, Liangshuo Qiao, Yingjie Yin, Zhongtian et al.

Source: Materials (1996-1944). Jan2026, Vol. 19 Issue 2, p222. 19p.

Subjects: Composite materials, Welding defects, Finite element method, Pipe fittings, Petroleum pipelines, Corner fillets, Strains & stresses (Mechanics)

Data-Driven Offline Compensation of Robotic Welding Trajectories Using 3D Optical Metrology in Industrial Manufacturing.

Authors: Filip, Alexandru Costinel Cojocaru, Dorian Vladu, Ionel Cristian

Source: Applied Sciences (2076-3417); Mar2026, Vol. 16 Issue 5, p2510, 22p

Classification and Contour Recognition of Welding Defects in Magneto-Optical Images.

Authors: Ma, Nvjie Zhang, Guoying Liang, Huazhuo et al.

Source: Metals (2075-4701); Mar2026, Vol. 16 Issue 3, p267, 18p

Quality of friction stir welding joints on aluminum 1100 thin plates.

Authors: Darsono, Febri Budi Nurdin, Akhmad Paundra, Fajar et al.

Source: International Journal of Automotive & Mechanical Engineering; Mar2026, Vol. 23 Issue 1, p13190-13199, 10p