Description: Key Technologies of Intelligentized Welding Manufacturing by Zongyao Chen, Zhili Feng, Jian Chen Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book describes the application of vision-sensing technologies in welding processes, one of the key technologies in intelligent welding manufacturing. Publisher Description 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. Author Biography Dr. Zongyao Chen received his B.S. and M.S. in Electrical Engineering in 2009 and 2012 from Shanghai Jiaotong University. He received his Ph.D. from the University of Tennessee in November 2018. During his Ph.D. study, he worked with the welding and joining research group at oak ridge national lab and focused on applying artificial intelligence and computer vision technology to welding manufacturing and proposed the Reversed Electrode Image (REI) method to extract the features and penetration of welding pool during GTAW process in his doctoral dissertation. He is currently working as a Research Scientist at the R&D Centre of Air Liquide in Delaware, USA. Dr. Chens research interests include robotics, welding automation, computer vision machine learning and other AI applications in industry.Dr. Feng is a Group Leader of Materials Processing and Joining Group and a Distinguished R&D Staff of Oak Ridge National Laboratory. He manages a diverse R&D portfolio aimed at addressingthe materials processing and joining needs from automotive, aerospace, nuclear, petrochemical and power generation industries. His primary interest is in thermal–mechanical–metallurgical behaviors of materials during processing and joining. Most recent work included integrated computational welding engineering (ICWE), proactive weld residual stress control and management, friction stir welding and processing, characterization of weld by advanced neutron and synchrotron scattering, and novel solid-state joining processes of dissimilar metals. Dr. Feng received his Ph.D. in Welding Engineering from the Ohio State University. He is a Fellow of the American Welding Society, a Joint Faculty ProfessorDepartment of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee, Knoxville, and Guest Professor of Tsinghua University. Dr. Feng has broad interactions with industry and extensive experience in solving critical industry problems.Dr. Feng is currently one of Editors-in-Chief Transactions on Intelligent Welding Manufacturing (TIWM) authorized by Springer for periodical publication of research papers from 2017.Dr. Jian Chen is a Research Staff in Materials Processing and Joining Group at Oak Ridge National Laboratory. He has significant experimental and analytical experiences in developing advanced materials joining and processing technologies and the associated control and monitoring techniques. His current R&D focuses on advanced welding and joining techniques, intelligent welding process monitoring and control, non-destructive weld quality inspection and high-performance welding simulation. Dr. Chen received his doctoral degree in Industrial Engineering from the Ohio State University. He is a member of American Welding Societys Technical Papers Committee and 2nd Vice Chair of American Welding Societys North East Tennessee Section. Details ISBN 9811564906 ISBN-13 9789811564901 Title Key Technologies of Intelligentized Welding Manufacturing Author Zongyao Chen, Zhili Feng, Jian Chen Format Hardcover Year 2020 Pages 95 Edition 1st Publisher Springer Verlag, Singapore GE_Item_ID:140525994; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. 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Price: 125.44 USD
Location: Fairfield, Ohio
End Time: 2025-02-02T06:03:16.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9789811564901
Type: NA
Publication Name: NA
Book Title: Key Technologies of Intelligentized Welding Manufacturing : Visual Sensing of Weld Pool Dynamic Characters and Defect Prediction of GTAW Process
Number of Pages: Xiii, 95 Pages
Language: English
Publisher: Springer
Topic: Probability & Statistics / General, Intelligence (Ai) & Semantics, Electrical
Publication Year: 2020
Illustrator: Yes
Genre: Mathematics, Computers, Technology & Engineering
Item Weight: 16 Oz
Author: Jian Chen, Zongyao Chen, Zhili Feng
Item Length: 9.3 in
Item Width: 6.1 in
Format: Hardcover
