Application of sensing technology in intelligent robotic arc welding: A review
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” …
production. However, the current industrial welding robots with the “teaching and playback” …
Deep learning based real-time and in-situ monitoring of weld penetration: Where we are and what are needed revolutionary solutions?
Abstract Welding Procedure Designed assures the desired weld penetration be produced
under nominal welding conditions. When conditions deviate from the nominal, penetration …
under nominal welding conditions. When conditions deviate from the nominal, penetration …
Monitoring and control the Wire Arc Additive Manufacturing process using artificial intelligence techniques: a review
G Mattera, L Nele, D Paolella - Journal of Intelligent Manufacturing, 2024 - Springer
Abstract Wire Arc Additive Manufacturing is a Direct Energy Deposition additive technology
that uses the principle of wire welding to deposit layers of material to create a finished …
that uses the principle of wire welding to deposit layers of material to create a finished …
Recent progress of sensing and machine learning technologies for process monitoring and defects detection in wire arc additive manufacturing
Abstract Wire Arc Additive Manufacturing possesses advantages of high deposition rate and
low cost compared with other metal additive manufacturing processes. However, potential …
low cost compared with other metal additive manufacturing processes. However, potential …
[HTML][HTML] Inference of highly time-resolved melt pool visual characteristics and spatially-dependent lack-of-fusion defects in laser powder bed fusion using acoustic and …
With a growing demand for high-quality fabrication, the interest in real-time process and
defect monitoring of laser powder bed fusion (LPBF) has increased, leading manufacturers …
defect monitoring of laser powder bed fusion (LPBF) has increased, leading manufacturers …
Monitoring Wire Arc Additive Manufacturing process of Inconel 718 thin-walled structure using wavelet decomposition and clustering analysis of welding signal
Monitoring is a crucial aspect of modern production systems, especially in additive
manufacturing, where instabilities and defects can lead to significant economic losses due to …
manufacturing, where instabilities and defects can lead to significant economic losses due to …
Indirect porosity detection and root-cause identification in WAAM
JYII Alcaraz, W Foqué, A Sharma… - Journal of Intelligent …, 2024 - Springer
Due to the complexity of the Wire-arc Additive Manufacturing (WAAM) process, it is prone to
the occurrence of defects in the product. One of the most common defects is porosity, which …
the occurrence of defects in the product. One of the most common defects is porosity, which …
[HTML][HTML] Machine learning-based weld porosity detection using frequency analysis of arc sound in the pulsed gas tungsten arc welding process
Automatic welding equipment has replaced human welders in the nuclear industry for safety
issues and uniform and high welding quality. However, automatic welding equipment cannot …
issues and uniform and high welding quality. However, automatic welding equipment cannot …
Monitoring the gas metal arc additive manufacturing process using unsupervised machine learning
The study aimed to assess the performance of several unsupervised machine learning (ML)
techniques in online anomaly (The term “anomaly” is used here to indicate a departure from …
techniques in online anomaly (The term “anomaly” is used here to indicate a departure from …
Utilising unsupervised machine learning and IoT for cost-effective anomaly detection in multi-layer wire arc additive manufacturing
Wire arc additive manufacturing (WAAM) is an additive manufacturing process for building
large-sized metal components using gas metal arc welding technology. Detecting defects …
large-sized metal components using gas metal arc welding technology. Detecting defects …