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Key technologies of intelligentized ...

Chen, Jian.

Key technologies of intelligentized welding manufacturingvisual sensing of weld pool dynamic characters and defect prediction of GTAW process /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Key technologies of intelligentized welding manufacturingby Zongyao Chen, Zhili Feng, Jian Chen.
Reminder of title:	visual sensing of weld pool dynamic characters and defect prediction of GTAW process /
Author:	Chen, Zongyao.
other author:	Feng, Zhili.
Published:	Singapore :Springer Singapore :2021.
Description:	xiii, 95 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	WeldingTechnological innovations.
Online resource:	https://doi.org/10.1007/978-981-15-6491-8
ISBN:	9789811564918$q(electronic bk.)

Key technologies of intelligentized welding manufacturingvisual 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. - Singapore :Springer Singapore :2021. - xiii, 95 p. :ill., digital ;24 cm.

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$q(electronic bk.)

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

724199
Welding
--Technological innovations.

LC Class. No.: TS227 / .C44 2021

Dewey Class. No.: 671.52

Key technologies of intelligentized welding manufacturingvisual sensing of weld pool dynamic characters and defect prediction of GTAW process /
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245 1 0 $a Key technologies of intelligentized welding manufacturing $h [electronic resource] : $b visual sensing of weld pool dynamic characters and defect prediction of GTAW process / $c by Zongyao Chen, Zhili Feng, Jian Chen.
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300 $a xiii, 95 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
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650 2 4 $a Manufacturing, Machines, Tools, Processes. $3 833130
650 2 4 $a Control and Systems Theory. $3 825946
700 1 $a Feng, Zhili. $3 799982
700 1 $a Chen, Jian. $3 489374
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