Book — 1 online resource (xiii, 95 pages) Digital: text file.PDF.
Monitoring of Weld Pool Surface with Active Vision
Visual Sensing of 3D Weld Pool Geometry with Passive Vision Image
Penetration prediction with machine learning models
Penetration Control for Bead-on plate welding
Penetration Detection of narrow U-groove welding
Lack of fusion detection inside narrow U-groove
Conclustions and recommendations.
This book describes the application of vision-sensing technologies in welding processes, one of the key technologies in intelligent welding manufacturing. Gas tungsten arc welding (GTAW) is one of the main welding techniques and has a wide range of applications in the manufacturing industry. As such, the book also explores the application of AI technologies, such as vision sensing and machine learning, in GTAW process sensing and feature extraction and monitoring, and presents the state-of-the-art in computer vision, image processing and machine learning to detect welding defects using non-destructive methods in order to improve welding productivity. Featuring the latest research from ORNL (Oak Ridge National Laboratory) using digital image correlation technology, this book will appeal to researchers, scientists and engineers in the field of advanced manufacturing. (source: Nielsen Book Data)