Research and application of artificial intelligence techniques for wire arc additive manufacturing: a state-of-the-art review

F He, L Yuan, H Mu, M Ros, D Ding, Z Pan… - Robotics and Computer …, 2023 - Elsevier
Recent development in the Wire arc additive manufacturing (WAAM) provides a promising
alternative for fabricating high value-added medium to large metal components for many …

Application of sensing technology in intelligent robotic arc welding: A review

F Xu, Y Xu, H Zhang, S Chen - Journal of Manufacturing Processes, 2022 - Elsevier
As a traditional fusion welding method, arc welding occupies most of the total welding
production. However, the current industrial welding robots with the “teaching and playback” …

Deep learning-based welding image recognition: A comprehensive review

T Liu, P Zheng, J Bao - Journal of Manufacturing Systems, 2023 - Elsevier
The reliability and accuracy of welding image recognition (WIR) is critical, which can largely
improve domain experts' insight of the welding system. To ensure its performance, deep …

In situ detection of welding defects: A review

AS Madhvacharyula, AVS Pavan, S Gorthi, S Chitral… - Welding in the …, 2022 - Springer
Weld defect detection is a crucial aspect for improving the productivity and quality of the
welding process. Several non-destructive methods exist for the identification of defects post …

Quality control in manufacturing–review and challenges on robotic applications

A Papavasileiou, G Michalos… - International Journal of …, 2025 - Taylor & Francis
Quality control methods and techniques have been investigated in different fields of
manufacturing during the last decades. The introduction of robots in manufacturing …

Vision based defects detection for Keyhole TIG welding using deep learning with visual explanation

C **a, Z Pan, Z Fei, S Zhang, H Li - Journal of Manufacturing Processes, 2020 - Elsevier
As an advanced and highly efficient welding method, Keyhole Tungsten Inert Gas (keyhole
TIG) welding has drawn wide interests from the manufacturing industry. In order to improve …

Deep learning assisted vision inspection of resistance spot welds

W Dai, D Li, D Tang, Q Jiang, D Wang, H Wang… - Journal of Manufacturing …, 2021 - Elsevier
Spot welds are extensively used on autobodies and also a key factor affecting the
performance of automobiles. Automatic detection of spot welding based on machine vision …

Real-time recognition of arc weld pool using image segmentation network

R Yu, J Kershaw, P Wang, YM Zhang - Journal of Manufacturing Processes, 2021 - Elsevier
This work aims at automatically tracking the weld pool boundary to monitor the process and
collect operation and process data for analysis and modeling of the operator. The strong arc …

A vision-based method for lap weld defects monitoring of galvanized steel sheets using convolutional neural network

G Ma, L Yu, H Yuan, W **ao, Y He - Journal of Manufacturing Processes, 2021 - Elsevier
Zn vapour is easily generated on the surface by fusion welding galvanized steel sheet,
resulting in the formation of defects. The present study develops a novel method for …

Automatic quality control of aluminium parts welds based on 3D data and artificial intelligence

A Cardellicchio, M Nitti, C Patruno, N Mosca… - Journal of Intelligent …, 2024 - Springer
Detecting defects in welds used in critical or non-critical industrial applications is of intense
interest. Several non-destructive inspection methods are available, each allowing the …