Key Technologies of Intelligentized Welding Manufacturing

1. Front Matter

   Pages i-xiii

   PDF

2. Introduction

   • Yiming Huang, Shanben Chen

   Pages 1-25

3. Welding Arc Spectrum Sensor and Welding System

   • Yiming Huang, Shanben Chen

   Pages 27-41

4. Basic Characteristics of Arc Spectrum in P-GTAW Process

   • Yiming Huang, Shanben Chen

   Pages 43-65

5. Monitoring of Welding Process Based on Characteristic Spectral Lines

   • Yiming Huang, Shanben Chen

   Pages 67-109

6. Dimension Reduction of Arc Spectrum for Porosity Detection in P-GTAW Process

   • Yiming Huang, Shanben Chen

   Pages 111-136

7. Formation Mechanism and Control of Porosity in GTAW of Al Alloys

   • Yiming Huang, Shanben Chen

   Pages 137-170

8. Conclusions

   • Yiming Huang, Shanben Chen

   Pages 171-173

This book presents the recent research results of the application of arc spectrum in the welding process. It sheds light on the fundamentals of monitoring welding quality using arc spectral information. By analyzing the topic both from a global and local perspective, it establishes a knowledge base of features characterizing welding statuses. Researchers, scientists and engineers in the field of intelligent welding can benefit from the book. As such, this book provides valuable knowledge, useful methods, and practical algorithms that are applicable in real-time detection of welding defects.

• Arc spectrum
• Intelligent welding
• Quality monitoring
• Defect detection
• Feature extraction
• Data mining
• Spectroscopic diagnostics
• Welding diagnostics

• School of Materials Science and Engineering, Tianjin University, Tianjin, China

  Yiming Huang

• Shanghai Jiao Tong University, Shanghai, China

  Shanben Chen

Dr. Yiming  Huang received his B.S. degree and Ph.D. degree in Materials Processing Engineering from the School of Materials Science and Engineering, Shanghai Jiao Tong University, in 2011 and 2017 respectively. He joined the School of Materials Science and Engineering, Tianjin University in 2017, and he is currently as a lecturer. His research interests include welding process modeling, machine learning, and defect detection. He has published several papers in international conferences and reputed journals in his research area.

Dr. Shanben Chen received his BS degree in industrial automation from Dalian Railway Institute (Dalian Jiao Tong University) in 1982, and received his MS and PhD in control theory and application from Harbin Institute of Technology, China, in 1987 and 1991, respectively. He worked as a postdoctoral fellow at the National Key Laboratory of Advanced Welding Production of China in Harbin Institute of Technology (HIT) from 1993 to 1995, and as a professor from 1995 to 2000.

From 2000 to present, he has served as the Special Professor, Cheung Kong Scholar Program of the Ministry of Education of China & Li Ka Shing Foundation, Hong Kong, and engaged at Shanghai Jiao Tong University, China, where he is also director of the Intelligentized Robotic Welding Technology Laboratory. Prof. Chen has also been a visiting professor at the University of Western Sydney (UWS) in connection with the ARC Linkage collaboration since 2009.

Currently, Prof. Chen is a senior member of the IEEE; a member of the American Welding Society; Chair of the Robotics & Automation Committee of the Chinese Welding Society (CWS); Deputy Secretary-General of the Chinese Welding Society; and a standing member of the Board of Directors, CWS.

Policies and ethics