ENGLISH

Transactions on Intelligent Welding Manufacturing: Volume III No. 4 2019

Book information

Publisher
Springer
Year
2021
ISBN
9813365013, 9789813365018
Language
english
Format
PDF
Filesize
11 MB (12015329 bytes)
Edition
1st ed. 2021
Pages
213\203
Time added
2021-12-10 05:23:16

Description

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. Editorials Contents Feature Articles Multi-layer Multi-pass Welding of Medium Thickness Plate: Technologies, Advances and Future Prospects 1 Introduction 2 MLMP Welding Techniques 3 MLMP Welding Simulation Analysis 4 MLMP Path Planning 4.1 Weld Seam Feature Extraction 4.2 Normal Weld Path Planning 4.3 Special Weld Path Planning 4.4 Database-Based Planning 5 Weld Seam Tracking 5.1 Vision Sensing Technique 5.2 Arc Sensing Technique 6 Industrial Application 7 Conclusions and Future Prospect 7.1 Sensing Technique Application 7.2 Emerging Techniques References A Review: Application Research of Intelligent 3D Detection Technology Based on Linear-Structured Light 1 Introduction 2 Line-Structured Light Vision Sensing Technology 3 Applied Research of Industrial Applications 3.1 Industrial Field Calibration 3.2 Object Detection and Location 3.3 Profile Measurement 3.4 Three-Dimensional Reconstruction 4 Conclusion References Research Papers Acoustic Emission-Based Weld Crack In-situ Detection and Location Using WT-TDOA 1 Introduction 2 Basic Methods 2.1 Wavelet Transform (WT) 2.2 TDOA 3 Proposed Method 3.1 Experimental Platform for Data Acquisition 3.2 Attenuation Characteristic Analyzing of AE Signals 3.3 Noise Reduction of AE Signals 3.4 Location of AE Signal Source 4 Experiments and Results 4.1 Attenuation Characteristic Analysis 4.2 Denoising of AE Signals 4.3 AE Signal Source Location 5 Conclusion References The Research of Real-Time Welding Quality Detection via Visual Sensor for MIG Welding Process 1 Introduction 2 Experimental Establishment 2.1 Weld Locating and Tracking Sensor 2.2 Tracking Process 2.3 Robot Communication 3 Image Processing 3.1 Welding Seam Feature Extraction 3.2 Welding Pool Feature Extraction 4 The Establishment of Predicted Model 5 Conclusion References A Weld Bead Profile Extraction Method Based on Scanning Monocular Stereo Vision for Multi-layer Multi-pass Welding on Mid-thick Plate 1 Introduction 2 System Configuration 3 Point Cloud Reconstruction and Weld Bead Profile Extraction 3.1 Scanning and Image Acquisition 3.2 Image Processing and Point Could Reconstruction 3.3 Point Cloud Data Processing 4 Experiment and Result 5 Conclusion References The Intelligent Methodology for Monitoring the Dynamic Welding Quality Using Visual and Audio Sensor 1 Introduction 2 Experiment Design 3 Arc Sound Processing 3.1 Preprocessing 3.2 Welding Sound Feature Extraction 4 Visual Image Processing 4.1 Groove Detection 4.2 Welding Pool Detection 5 Conclusion References Convolutional Neural Network Prediction of Aluminum Alloy GTAW Penetration Process Based on Arc Sound Sensing 1 Introduction 2 Architecture of Welding Online Monitoring Platform 2.1 Formatting of Welding Monitoring Information 2.2 Web-based Industrial Cloud Platform 3 Sound Feature Extraction 3.1 Sound Signal Preprocessing 3.2 Sound Signal Denoising Processing 3.3 Arc Sound Signal Feature Extraction 3.4 Penetration State Modeling 4 Analysis of Experimental Results and Recognition of Penetration Status 5 Conclusion References Identification and Penetration Prediction of Aluminum Alloy GTAW Pool Based on Network Vision Monitoring 1 Introduction 2 Experiment and Setup 2.1 Experiments Design 3 Extract the Contours of the Front Molten Pool and the Characteristic Parameters of the Front Molten Pool Based on the Advanced Two-tier Cascade Regression Algorithm 3.1 Extraction of Feature Points Around Molten Pool Based on Advanced Two-Tier Cascade Regression Algorithm 3.2 Extraction of Geometric Parameters of the Front Molten Pool 4 Models to Predict the Backside Width of Weld Pool 5 Welding Penetration Identification Model 6 Conclusion References Research on Welding Transient Deformation Monitoring Technology Based on Non-contact Sensor Technology 1 Introduction 2 Welding Deformation Detection Technology 2.1 Non-contact Transient Deformation Detection 2.2 Contact Transient Deformation Detection Method 3 Welding Deformation Control Method 4 Conclusion References Binocular Stereo Vision and Modified DBSCAN on Point Clouds for Single Leaf Segmentation 1 Introduction 2 Sparse Plant Point Clouds Acquisition 2.1 Overview of the Whole Procedure to Obtain Plant Point Clouds 2.2 Quasi-Euclidean Stereo Rectification 2.3 Binocular Stereo Matching 3 Point Clouds Segmentation 3.1 Tensor Voting 3.2 Denoising Process 3.3 Affinity Matrix 3.4 Modified DBSCAN 3.5 2D Image Segmentation 4 Experiment and Discussion 4.1 Simulation of Manifolds Segmentation 4.2 Experiments on Real Sceneries 5 Conclusion References Short Papers and Technical Notes Teaching-Free Intelligent Robotic Welding of Heterocyclic Medium and Thick Plates Based on Vision 1 Introduction 2 Characteristics of Lifting Lug 3 Composition of the Intelligent Robotic Welding System of the Lifting Lug 4 Intelligent Robotic Welding of Lifting Lug Based on Compound Visual Sensing 5 Conclusion References In-Process Visual Monitoring of Penetration State in Nuclear Steel Pipe Welding 1 Introduction 2 Orbital Pipe Welding Penetration Monitoring System 3 Welding Penetration Monitoring Software 3.1 Functions of Welding Monitoring System 4 Result and Discussion 5 Conclusions References Information for Authors Aims and Scopes Submission Style of Manuscripts Format of Manuscripts Originality and Copyright Author Index

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