Transactions on Intelligent Welding Manufacturing: Volume III No. 1 2019

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

• Publisher: Springer
• Year: 2020
• Tongue: English
• Leaves: 170
• 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 2019 International Workshop on Intelligentized Welding Manufacturing (IWIWM’2019) in USA. 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
1 Welding Process Optimization Methods: A Review
Abstract
1 Introduction
1.1 Welding Process Parameters
1.2 Welding Outputs
1.3 Welding Performance Evaluation
2 Parameter Optimization Methods
2.1 Open-Loop Methods
2.2 Closed-Loop Methods
3 Conclusion
References
2 Acoustic Sensing and Real-Time Control of Weld Penetration in Intelligentized Robotic Welding
Abstract
1 Introduction
2 Acoustic Acquisition System and Experiment Environment
3 The Analysis of Sound Source Generation
4 The Modeling and Feature Extraction of Sound Channel
4.1 Mechanism of Arc Channel Generation
4.2 The Equivalent Model Based on Cepstrum Coefficient Analysis
4.3 The Equivalent Model Based on Linear Predictive Analysis
5 Penetration Feature Extraction of Arc Sound
5.1 Preprocessing
5.2 De-Noising
5.3 Extraction of Region of Interest
5.4 Feature Extraction in Time Domain
5.5 Feature Extraction in Frequency Domain
5.6 Feature Extraction Based on Wavelet Packet Analysis
6 Real-Time Control of Welding Quality Based on Acoustic Signal
6.1 Automatic Arc Height Control via Acoustic Signal
6.2 Automatic Welding Penetration Control via Acoustic Signal
7 Conclusions
Acknowledgements
References
3 Vision-Based Seam Tracking in Robotic Welding: A Review of Recent Research
Abstract
1 Introduction
2 Seam Tracking of Passive Vision-Based
3 Seam Tracking of Active Vision-Based
3.1 Application of Diverse Laser Shapes
3.2 Linear Welding Seam Tracking
3.3 Curved Welding Seam Tracking
3.4 Multilayer and Multi-pass Welding Seam Tracking
4 Composite Vision Sensing Technology
5 Conclusion
Acknowledgements
References
Research Papers
4 Process Parameters, Product Quality Monitoring, and Control of Powder Bed Fusion
Abstract
1 Introduction
2 Monitoring and Control of Laser PBF Processes
2.1 Monitoring of the Whole Build Platform
2.2 The Relationships Between Process Parameters and Melt Pool Characteristics
2.3 Typical Process Errors
3 Classification and Commonly Used Systems for Monitoring and Control
4 Insight and Future Research
5 Conclusions
Acknowledgements
References
5 The Key Technology of Robotic Autonomous Welding in More Subsections of Large Ship
Abstract
1 Introduction
2 Robotic Welding System
3 Control System
4 Key Technology
4.1 3D Offline Teaching
4.2 3D Reconstruction and Calibration
4.3 Initial Weld Position Locating
4.4 Weld Seam Tracking
4.4.1 Planar Tracking
4.4.2 Height Tracking
5 Conclusion
Acknowledgements
References
6 Numerical Simulation of Robot Base Welding Process
Abstract
1 Introduction
2 Analysis Model
2.1 Finite Element Model
2.2 Material Properties
2.3 Welding Sequences
2.4 Heat Source
3 Simulation Results
3.1 Temperature Field
3.2 Stress Field
3.3 Welding Deformation
4 Conclusions
References
7 High-Speed Photography Analysis for Underwater Flux-Cored Wire Arc Cutting Process
Abstract
1 Introduction
2 Experimental System Construction
3 Results and Discussion
3.1 Arc Ignition Process
3.2 Cutting Process
3.3 Metal Transfer Process
4 Conclusions
Acknowledgements
References
8 Effect of Low-Frequency Pulse Modulation on Microstructure and Mechanical Properties of Aluminum Alloy Joints
Abstract
1 Introduction
2 Welding Test and Result
2.1 Design of Experimental Parameters for Butt Welding
2.2 Analysis of Welding Current Waveform
2.3 Analysis of Joint Morphology
2.4 Analysis of Mechanical Properties of Welded Joint
3 Conclusion
Acknowledgement
References
Information for Authors
Aims and Scopes
Submission
Style of Manuscripts
Format of Manuscripts
Originality and Copyright
Author Index