Key Technologies of Intelligentized Welding Manufacturing : Visual Sensing of Weld Pool Dynamic Characters and Defect Prediction of GTAW Process

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. Front Matter ....Pages i-xiii Introduction (Zongyao Chen, Zhili Feng, Jian Chen)....Pages 1-12 Monitoring Weld Pool Surface with Active Vision Image (Zongyao Chen, Zhili Feng, Jian Chen)....Pages 13-24 Visual Sensing of 3D Weld Pool Geometry with Passive Vision Image (Zongyao Chen, Zhili Feng, Jian Chen)....Pages 25-45 Penetration Prediction with Machine Learning Models (Zongyao Chen, Zhili Feng, Jian Chen)....Pages 47-60 Penetration Control of Bead on Plate Welding (Zongyao Chen, Zhili Feng, Jian Chen)....Pages 61-69 Penetration Detection of Narrow U-Groove Welding (Zongyao Chen, Zhili Feng, Jian Chen)....Pages 71-80 Lack of Fusion Detection Inside Narrow U-Groove (Zongyao Chen, Zhili Feng, Jian Chen)....Pages 81-91 Conclusions and Recommendations (Zongyao Chen, Zhili Feng, Jian Chen)....Pages 93-95