Transactions on Intelligent Welding Manufacturing: Volume IV No. 1 2020

✍ Scribed by Shanben Chen (editor), Yuming Zhang (editor), Zhili Feng (editor)

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 102
• Edition: 1st ed. 2022
• Category: Library

✦ Synopsis

The primary aim of this volume is to provide researchers and engineers from both academic and industry with up-to-date coverage of new results in the field of robotic welding, intelligent systems and automation. The book is mainly based on papers selected from the 2020 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2020) in Shanghai and Lanzhou, China. The articles show that the intelligentized welding manufacturing (IWM) is becoming an inevitable trend with the intelligentized robotic welding as the key technology. The volume is divided into four logical parts: Intelligent Techniques for Robotic Welding, Sensing of Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, as well as Intelligent Control and its Applications in Engineering.

✦ Table of Contents

Editorials
Contents
Feature Articles
Defect Detection and Process Monitoring for Wire Arc Additive Manufacturing Using Machine Learning
1 Introduction
2 Defects in WAAM Systems
2.1 Crack and Delamination
2.2 Porosity
2.3 Deformation and Residual Stress
2.4 Oxidation and Poor Surface Finish
3 Machine Learning Applications in WAAM
3.1 Modeling
3.2 Control
3.3 Simulation
4 ML-Based Monitoring Systems
4.1 Defect Detection Using Welding Electrical Signal
4.2 Defect Detection Using Computer Vision
4.3 Defect Detection Using the 3D Laser Scanner
4.4 Other Defect Detection Methods
5 Challenges and Future Work
5.1 Accuracy, Flexibility, and Efficiency of Detection
5.2 Sensor Integration and Signal Data Fusion
6 Conclusion
References
Research Evolution on Intelligentized K-TIG Welding
1 Introduction
2 The Development Progress of K-TIG Welding
3 The Intellectualization of K-TIG Welding
3.1 The Research of Seam Tracking in K-TIG Welding
3.2 The Research of Penetration Recognition in K-TIG Welding
4 The Research of Improving the K-TIG Welding
4.1 The Dynamic K-TIG Welding Process
4.2 The Arc Pressure in K-TIG Welding Process
4.3 Methods Tried to Improve the K-TIG Welding
5 Conclusions
References
Research Papers
Segmentation-Based Automatic Recognition for Weld Defect in Radiographic Testing Image
1 Introduction
2 Experiments and Analysis
2.1 Image Preprocessing
2.2 Weld Area Extraction Based on Connected Region Size
2.3 Defect Extraction Based on Local Threshold and Flood Filling
3 Conclusions
References
MLD Classification Model of Visual Features of Multi-layer and Multi-pass Molten Pool During Robotic MAG Welding of Medium-Thick Steel Plates
1 Introduction
2 Experimental System and Image Acquisition
2.1 Experimental System
2.2 Image Acquisition
3 Multi-layer and Multi-pass Forming Analysis
4 Multi-layer and Multi-pass Welding Pool Features Extraction
4.1 Image Calibration
4.2 Image Segmentation
4.3 Weld Pool Feature Extraction
5 MLD Classification Model
6 Conclusions
References
Deep Learning Based Robot Detection and Grinding System for Veneer Defects
1 Introduction
2 System Architecture
3 System Workflow
3.1 Image Preprocessing
3.2 Hand-Eye Calibration and Coordinate Transformation
4 Object Detection Algorithm Based on RetinaNet
4.1 FPN
4.2 Bounding Box Regression
4.3 Focal Loss Function
5 Experiments and Analysis
5.1 Experiment by Traditional Image Processing
5.2 Experiments Based on RetianNet
5.3 Analysis
6 System Implementation
7 Conclusion
References
Author Index