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 …
A critical review on applications of artificial intelligence in manufacturing
The fourth industrial revolution, Industry 4.0, has brought internet, artificial intelligence (AI),
and machine learning (ML) concepts into manufacturing. There is an immediate need to …
and machine learning (ML) concepts into manufacturing. There is an immediate need to …
In-situ crack and keyhole pore detection in laser directed energy deposition through acoustic signal and deep learning
Cracks and keyhole pores are detrimental defects in alloys produced by laser directed
energy deposition (LDED). Laser-material interaction sound may hold information about …
energy deposition (LDED). Laser-material interaction sound may hold information about …
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 …
welding process. Several non-destructive methods exist for the identification of defects post …
Using meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big data
Advanced analytics are fundamental to transform large manufacturing data into resourceful
knowledge for various purposes. In its very nature, such “industrial big data” can relay its …
knowledge for various purposes. In its very nature, such “industrial big data” can relay its …
Machine learning for multi-dimensional optimisation and predictive visualisation of laser machining
MDT McDonnell, D Arnaldo, E Pelletier… - Journal of Intelligent …, 2021 - Springer
Interactions between light and matter during short-pulse laser materials processing are
highly nonlinear, and hence acutely sensitive to laser parameters such as the pulse energy …
highly nonlinear, and hence acutely sensitive to laser parameters such as the pulse energy …
Recent developments in computer vision and artificial intelligence aided intelligent robotic welding applications
The welding process, which is an indispensable part of the manufacturing industry, has
been in demand for years and continues to attract the attention of researchers. With the …
been in demand for years and continues to attract the attention of researchers. With the …
[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 …
Ensemble-based deep learning model for welding defect detection and classification
V Vasan, NV Sridharan, RJ Balasundaram… - … Applications of Artificial …, 2024 - Elsevier
This study introduces an ensemble-based deep learning approach for monitoring and
detecting submerged arc weld defects in weld beads and adjacent zones during Non …
detecting submerged arc weld defects in weld beads and adjacent zones during Non …
Inline defective laser weld identification by processing thermal image sequences with machine and deep learning techniques
The non-destructive testing methods offer great benefit in detecting and classifying the weld
defects. Among these, infrared (IR) thermography stands out in the inspection …
defects. Among these, infrared (IR) thermography stands out in the inspection …