國立虎尾科技大學 |

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Key Technologies of Intelligentized Welding Manufacturing/ by Zongyao Chen, Zhili Feng, Jian Chen.
其他題名:	Visual Sensing of Weld Pool Dynamic Characters and Defect Prediction of GTAW Process /
作者:	Chen, Zongyao.
其他作者:	Feng, Zhili.
面頁冊數:	XIII, 95 p. 87 illus., 70 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Robotics. -
電子資源:	https://doi.org/10.1007/978-981-15-6491-8
ISBN:	9789811564918

Key Technologies of Intelligentized Welding Manufacturing = Visual Sensing of Weld Pool Dynamic Characters and Defect Prediction of GTAW Process /
Chen, Zongyao.

Key Technologies of Intelligentized Welding ManufacturingVisual Sensing of Weld Pool Dynamic Characters and Defect Prediction of GTAW Process /[electronic resource] :by Zongyao Chen, Zhili Feng, Jian Chen. - 1st ed. 2021. - XIII, 95 p. 87 illus., 70 illus. in color.online resource.

Introduction -- Monitoring of Weld Pool Surface with Active Vision -- Visual Sensing of 3D Weld Pool Geometry with Passive Vision -- Penetration prediction with data driven models -- Penetration Control for Bead-on plate weld -- Penetration Detection and Control Inside U-groove -- Lack of fusion detection inside narrow U-groove -- Measuring Material Deformation using Digital Image Correlation -- Conclusions.

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.

ISBN: 9789811564918

Standard No.: 10.1007/978-981-15-6491-8doiSubjects--Topical Terms:

561941
Robotics.

LC Class. No.: TJ210.2-211.495

Dewey Class. No.: 629.892

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