| 書目名稱 | Key Technologies of Intelligentized Welding Manufacturing |
| 副標題 | Visual Sensing of We |
| 編輯 | Zongyao Chen,Zhili Feng,Jian Chen |
| 視頻video | http://file.papertrans.cn/543/542596/542596.mp4 |
| 概述 | Provides a comprehensive overview of non-destructive methods for detecting and reducing welding defects during gas tungsten arc welding (GTAW) based on computer vision and artificial intelligence.Pres |
| 圖書封面 |  |
| 描述 | 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. |
| 出版日期 | Book 2021 |
| 關(guān)鍵詞 | Intelligent Welding; Robotic Welding; Optical Sensing; Machine Learning; Adaptive Control; Feature Extrac |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-15-6491-8 |
| isbn_softcover | 978-981-15-6493-2 |
| isbn_ebook | 978-981-15-6491-8 |
| copyright | Springer Nature Singapore Pte Ltd. 2021 |
|Archiver|手機版|小黑屋|
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