Key Technologies of Intelligentized Welding Manufacturing : Visual Sensing of Weld Pool Dynamic Characters and Defect Prediction of GTAW Process / / by Zongyao Chen, Zhili Feng, Jian Chen |
Autore | Chen Zongyao |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (103 pages) : illustrations |
Disciplina | 973.933092 |
Soggetto topico |
Robotics
Automation Machine learning Manufactures Control engineering Robotics and Automation Machine Learning Manufacturing, Machines, Tools, Processes Control and Systems Theory |
ISBN | 981-15-6491-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Monitoring of Weld Pool Surface with Active Vision -- Visual Sensing of 3D Weld Pool Geometry with Passive Vision -- Penetration prediction with data driven models -- Penetration Control for Bead-on plate weld -- Penetration Detection and Control Inside U-groove -- Lack of fusion detection inside narrow U-groove -- Measuring Material Deformation using Digital Image Correlation -- Conclusions. |
Record Nr. | UNINA-9910483951203321 |
Chen Zongyao
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Solid-State Metal Additive Manufacturing : Physics, Processes, Mechanical Properties, and Applications |
Autore | Yu Hang Z |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
Descrizione fisica | 1 online resource (411 pages) |
Disciplina | 621.988 |
Altri autori (Persone) |
TuncerNihan
FengZhili |
ISBN |
3-527-83935-6
3-527-83933-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- Preface -- Part I Introduction -- Chapter 1 Introduction and Overview -- 1.1 Overview and History of Metal Additive Manufacturing -- 1.2 Liquid‐State Bonding Versus Solid‐State Bonding -- 1.2.1 Liquid‐State Bonding -- 1.2.2 Solid‐State Bonding -- 1.3 Nonbeam‐Based, Solid‐State Metal Additive Manufacturing -- 1.3.1 Deformation‐Based Metal Additive Manufacturing -- 1.3.2 Sintering‐Based Metal Additive Manufacturing -- 1.4 Additive Manufacturing Categorization Based on the Relationship Between Shape Forming and Consolidation -- 1.5 Organization of the Book -- References -- Part II Cold Spray Additive Manufacturing -- Chapter 2 Impact‐Induced Bonding: Physical Processes and Bonding Mechanisms -- 2.1 Introduction -- 2.2 Fundamentals of Impact Bonding -- 2.2.1 Plate Impacts and Explosive Welding -- 2.2.1.1 The Shock Equations of State -- 2.2.1.2 Limiting Conditions for Explosive Welding -- 2.2.2 Laser Impact Bonding -- 2.3 Bonding Mechanisms in Cold Spray -- 2.3.1 Proposed Mechanisms -- 2.3.1.1 The Role of Jetting and Impact Pressure in Particle Bonding -- 2.3.1.2 The Limiting Case of Impact Melting -- 2.3.1.3 Adiabatic Shear Instability -- 2.3.1.4 Dissimilar Materials Impact -- 2.3.2 Influence of Particle Characteristics -- 2.3.2.1 Particle Temperature -- 2.3.2.2 Particle Size -- 2.3.2.3 Surface Oxide and Hydroxide Effects -- References -- Chapter 3 Microstructures and Microstructural Evolution in Cold‐Sprayed Materials -- 3.1 Introduction -- 3.2 Defect Structures -- 3.2.1 Vacancies -- 3.2.2 Dislocation Structure -- 3.2.3 Grain Structure -- 3.2.4 Precipitate Structure -- 3.2.5 Porosity -- 3.3 Microstructural Evolution of Thermally Treated Cold‐Sprayed Materials -- 3.3.1 Recovery, Recrystallization, and Grain Growth -- 3.3.2 Precipitation.
3.3.3 Heat Treatment of Feedstock Powders and its Impact on Microstructure -- 3.4 Conclusions -- Acknowledgements -- References -- Chapter 4 Mechanical Properties of Cold Spray Deposits -- 4.1 Introduction -- 4.2 Mechanical Properties -- 4.2.1 Adhesive Strength -- 4.2.1.1 Adhesive Strength Test Methods -- 4.2.1.2 The Effect of Process Parameters on Adhesive Strength -- 4.2.1.3 The effect of Pre‐/Post‐treatments on Adhesive Strength -- 4.2.2 Cohesive Strength -- 4.2.2.1 Cohesive Strength Test methods -- 4.2.2.2 Cohesive Strength Under Static Loading -- 4.2.2.3 Cohesive Strength Under Fatigue Loading -- 4.2.2.4 Anisotropy in Cohesive Strength -- 4.2.3 Summary and Future Perspectives -- References -- Chapter 5 Cold Spray in Practical and Potential Applications -- 5.1 Introduction -- 5.1.1 The Cold Spray Process -- 5.1.2 Cold Spray Additive Manufacturing (CSAM) -- 5.2 Materials -- 5.2.1 Cu and Cu Alloys -- 5.2.1.1 2Cu-Ga and Cu-In-Ga -- 5.2.1.2 Cu-Sn -- 5.2.1.3 Cu-W -- 5.2.2 Al and Al Alloys -- 5.2.3 Ni and Ni Alloys -- 5.2.4 Stainless Steels -- 5.2.5 Body Center Cubic (BCC) Metals -- 5.2.5.1 Tantalum -- 5.2.5.2 Niobium -- 5.2.6 Hexagonal Close‐Packed (HCP) Metals -- 5.2.6.1 Titanium -- 5.2.6.2 Magnesium -- 5.2.7 Metal Mixes and Metal Matrix Composite (MMC) -- 5.2.7.1 Metal Mixes -- 5.2.7.2 Metal Matrix Composite -- 5.2.8 Multicomponent and High Entropy Alloys -- 5.2.8.1 MCrAlY Multicomponent Alloy -- 5.2.8.2 High Entropy Alloy (HEA) -- 5.2.9 Multimaterials -- 5.3 Perspective and Challenges -- References -- Part III Additive Friction Stir Deposition -- Chapter 6 Process Fundamentals of Additive Friction Stir Deposition -- 6.1 Additive Friction Stir Deposition - Macroscopic Process Overview -- 6.2 Thermo‐Mechanical Processing Evolution -- 6.3 Heat Generation and Heat Transfer -- 6.3.1 Heat Generation and Heat Transfer Mechanisms. 6.3.2 Peak Temperature and Material Dependence -- 6.4 Material Flow and Deformation -- References -- Chapter 7 Dynamic Microstructure Evolution in Additive Friction Stir Deposition -- 7.1 Introduction to Microstructure Evolution in Additive Friction Stir Deposition -- 7.2 Dynamic Microstructure Evolution in Single‐Phase Materials -- 7.2.1 Stacking Fault Energy and Dislocation Mobility -- 7.2.2 Dynamic Recovery -- 7.2.3 Continuous Dynamic Recrystallization -- 7.2.4 Discontinuous Dynamic Recrystallization -- 7.2.5 Static and Post‐Dynamic Recrystallization -- 7.2.6 Heterogeneous Deposits and Metadynamic Recrystallization -- 7.3 Dynamic Microstructure Evolution in Multiple‐Phase Materials -- 7.3.1 Thermal Evolution During Additive Friction Stir Deposition -- 7.3.2 Evolution of Secondary Phases at Low Temperature -- 7.3.3 Evolution of Secondary Phases at High Temperature -- 7.3.4 Evolution of Secondary Phases After Deformation -- 7.3.5 Mapping Secondary Phase Evolution to Processing Space -- 7.4 Effects of Material Transport on Microstructure Evolution -- 7.4.1 Mechanisms of Material Transport -- 7.4.2 Material Transport for the Homogenization of Mixtures -- 7.4.3 Densification of Material Through Material Transport -- 7.4.4 Material Transport and Spatial Variance in Thermomechanical Conditions -- 7.5 The Study of Microstructure Evolution in Additive Friction Stir Deposition -- 7.5.1 Contemporary Approaches -- 7.5.2 Novel Approaches -- Acknowledgement -- References -- Chapter 8 Mechanical Properties of Additive Friction Stir Deposits -- 8.1 Introduction -- 8.2 Magnesium‐Based Alloys -- 8.2.1 WE43 -- 8.2.2 AZ31 -- 8.3 Aluminum‐Based Alloys -- 8.3.1 5xxx -- 8.3.2 2xxx -- 8.3.3 6xxx -- 8.3.4 7xxx -- 8.3.5 Cast Al Alloys -- 8.4 Other Alloys Systems -- 8.4.1 Nickel‐Based Alloys -- 8.4.2 Copper‐Based Alloys -- 8.4.3 Titanium‐Based Alloys -- 8.4.4 Steel Alloys. 8.4.5 High‐Entropy Alloys -- 8.4.6 Metal Matrix Composites -- 8.5 Repair -- 8.6 Summary and Future Perspectives -- 8.6.1 Anisotropy -- 8.6.2 Graphite Lubricant -- 8.6.3 Multimaterial or Designed Feedstock -- 8.6.4 Effect of Process Parameters on Mechanical Properties -- 8.6.5 Active Cooling/Heating -- 8.6.6 Heat Treatment -- 8.6.7 High‐Temperature Materials - Tool Wear -- 8.6.8 Unique Possibilities -- 8.6.9 Modeling -- References -- Chapter 9 Potential Industrial Applications of Additive Friction Stir Deposition -- 9.1 Large‐Scale Metal Additive Manufacturing -- 9.2 Selective Area Cladding -- 9.3 Recycling and Upcycling -- 9.4 Structural Repair -- 9.5 Underwater Deposition -- Acknowledgment -- References -- Part IV Ultrasonic Additive Manufacturing -- Chapter 10 Process Fundamentals of Ultrasonic Additive Manufacturing -- 10.1 Process Overview -- 10.1.1 Process Parameters -- 10.2 Temperature Rise and Thermal Modeling -- 10.2.1 Heat Generation During Welding -- 10.2.2 Sonotrode Contact Stress -- 10.2.3 Coefficient of Friction -- 10.2.4 Temperature Profile -- 10.3 Feedstock Bonding Mechanisms -- 10.3.1 Oxide Breakdown -- 10.3.2 Asperity Deformation -- 10.3.3 Diffusional Bonding Processes -- 10.3.4 Liquid‐Phase Bonding -- 10.4 Dissimilar Metal Consolidation -- 10.4.1 Mechanical and Thermal Modeling -- 10.4.2 Dissimilar Metal Junction Growth -- 10.4.3 Interdiffusion -- 10.5 Acoustic Softening and Strain Normality -- 10.5.1 Cyclic Strain Ratcheting -- 10.6 Summary -- Acknowledgments -- References -- Chapter 11 Ultrasonic Additive Manufacturing: Microstructural and Mechanical Characterization -- 11.1 Introduction -- 11.2 Microstructure Analysis of UAM Builds -- 11.2.1 Similar Material Joining with UAM -- 11.2.2 Dissimilar Material Joining with UAM -- 11.2.2.1 Al‐Ceramic Weld -- 11.2.2.2 Ni‐Steel Weld -- 11.3 Hardness Analysis of UAM Builds. 11.4 Mechanical Characterization of UAM Builds -- 11.4.1 Design of a Custom Shear Testing Method -- 11.4.2 Validation of the Shear Test -- 11.4.3 Finite element Modeling of the Shear Test -- 11.4.4 Application of the Shear Test to UAM Samples -- 11.5 Conclusions -- References -- Chapter 12 Industrial Applications of Ultrasonic Additive Manufacturing -- 12.1 Early Years -- 12.2 Increased Power → Increased Capability -- 12.3 Modern Applications -- 12.3.1 Electrification -- 12.3.2 Thermal Management -- 12.3.3 Embedded Electronics -- 12.3.3.1 SmartPlate -- 12.3.3.2 SensePipe -- 12.4 Future Applications -- References -- Part V Sintering‐Based Processes -- Chapter 13 Principles of Solid‐State Sintering -- 13.1 Introduction -- 13.2 Basic Terminology -- 13.2.1 Sintering -- 13.2.2 Relative Density/Green Density -- 13.2.3 Coordination Number -- 13.2.4 Surface Tension/Surface Energy -- 13.2.5 Wetting Angle/Dihedral Angle -- 13.2.6 Neck Growth/Shrinkage/Densification -- 13.3 Sintering Stress -- 13.3.1 Two Particle Model -- 13.3.1.1 Case I: Without Shrinkage -- 13.3.1.2 Case II: With Shrinkage -- 13.3.2 Driving Force -- 13.3.3 Interfacial Activity/Thermodynamics -- 13.4 Mass Transport Mechanisms -- 13.4.1 Grain Boundary Diffusion -- 13.4.2 Lattice/Volume Diffusion -- 13.4.3 Viscous Flow -- 13.4.4 Surface Diffusion -- 13.4.5 Evaporation/Condensation -- 13.4.6 Gas Diffusion -- 13.5 Sintering Stages -- 13.6 Sintering Simulation -- 13.7 Concluding Remarks, Challenges, and Future Works -- References -- Chapter 14 Material Extrusion Additive Manufacturing -- 14.1 Introduction -- 14.2 Hierarchy of MEAM Parts and Feedstock Behavior -- 14.3 Feedstock Attributes -- 14.4 Extrusion Control -- 14.5 Toolpathing: Strength and Quality -- 14.6 Conclusions -- Acknowledgments -- References -- Chapter 15 Binder Jetting‐based Metal Printing -- 15.1 Introduction to Binder Jetting. 15.2 Printing Phase. |
Record Nr. | UNINA-9910877478103321 |
Yu Hang Z
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Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
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Lo trovi qui: Univ. Federico II | ||
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Transactions on Intelligent Welding Manufacturing : Volume V No. 2 2021 |
Autore | Chen Shanben |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
Descrizione fisica | 1 online resource (129 pages) |
Disciplina | 671.52 |
Altri autori (Persone) |
ZhangYuming
FengZhili |
Collana | Transactions on Intelligent Welding Manufacturing Series |
ISBN | 981-9961-36-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Editorials -- Contents -- Feature Articles -- Visual Sensing for Environments Recognizing and Welding Tracking Technology in Intelligent Robotic Welding: A Review -- 1 Introduction -- 2 Calibration Technology of Vision Sensing System -- 3 Robotic Vision Guidance Technology -- 3.1 Passive Vision Based Welding Guidance -- 3.2 Active Vision Based Welding Guidance -- 3.3 Point Cloud Based Welding Guidance -- 4 Seam Tracking Technology -- 4.1 Passive Vision Based Seam Tracking Technology -- 4.2 Active Vision Based Seam Tracking Technology -- 5 Future Outlooks -- 5.1 High Performance AI Algorithm in Autonomous Robotic Welding -- 5.2 Development of Sensors -- 5.3 Visual Sensor Based Digital Twin -- References -- Research Papers -- Crack and Reliability in Different Working Situations of Nuclear Island Nozzle Welded Dissimilar Metal Joints with and Without Buttering -- 1 Introduction -- 2 Methods -- 3 Theory: The Fracture Behavior of Safe End JWB/JNBs -- 3.1 Crack Size and Location -- 3.2 The Finite Element Method (FEM) -- 3.3 Macroscopic Deformation and Fracture Behavior -- 3.4 Resistance Behavior of Crack Extension -- 4 Results: Reliability Assessment of JWB/JNBs with Safe Ends -- 4.1 FAC Rendering Method -- 4.2 Calculation of Different Working Situations and Allowable Nuclear Power Plant Loads -- 4.3 Reliability Assessment of the Safe End Welded Structure -- 5 Conclusions -- References -- Effect of Surface Stripes on Electrical-Thermal-Mechanical Behaviors and Interfacial Bonding Formation in Parallel Gap Resistance Welding of Ag Interconnectors -- 1 Introduction -- 2 Materials and Experimental Procedure -- 3 Numerical Simulation Modeling and Validation -- 4 Results and Discussion -- 4.1 Effects of Surface Stripe Arrangements on Electrical-Thermal-Mechanical Behaviors in PGRW.
4.2 Effects of Surface Stripe Arrangements on Mechanical Performances of Welds -- 4.3 Effects of Surface Stripe Arrangements on Interfacial Bonding Formation -- 5 Conclusions -- References -- Real-Time Information Extraction in Welding Image Acquisition System Based on Spatial Filtering -- 1 Introduction -- 2 Welding Images Acquisition and Dataset -- 2.1 Welding Image Acquisition System -- 2.2 Image Enhancement -- 2.3 The Acquisition of the Dataset -- 3 Theory and Model Training -- 3.1 YOLOv5m Network Structure -- 3.2 Model Training -- 4 Extraction, and Analysis of Welding Information -- 4.1 Recognition of the Weld Pool and Arc -- 4.2 Extraction of Welding Information -- 5 Conclusions -- References -- Prediction of Penetration Based on Feature Fusion of IR and CCD Images During Pulsed GTAW Process -- 1 Introduction -- 2 Setup and Experiment -- 2.1 Setup Overview -- 2.2 Experiment Design -- 2.3 Preparation for Data Sets -- 3 Establishment of CCML-Based Penetration State Prediction Model -- 3.1 CCML-Based Adaptive Target Selection -- 3.2 Feature Fusion Methods -- 3.3 Structure of CCML-Based Penetration State Prediction Model -- 3.4 Training Parameters -- 4 Results and Discussion -- 4.1 Performance of CCML-Based Adaptive Target Selection -- 4.2 Performance of CCML-Based Penetration State Prediction Model -- 4.3 Influence of Feature Fusion Methods on Model Performance -- 4.4 Advantages of CCML-Based Penetration State Prediction Model -- 5 Conclusions -- References -- Author Index. |
Record Nr. | UNINA-9910799249603321 |
Chen Shanben
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Singapore : , : Springer, , 2024 | ||
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Lo trovi qui: Univ. Federico II | ||
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Transactions on Intelligent Welding Manufacturing . Volume 1 2021. / / edited by Shanben Chen, Yuming Zhang, and Zhili Feng |
Edizione | [First edition.] |
Pubbl/distr/stampa | Singapore : , : Springer, , [2024] |
Descrizione fisica | 1 online resource (155 pages) |
Disciplina | 671.52 |
Collana | Transactions on Intelligent Welding Manufacturing Series |
Soggetto topico | Welding - Automation |
ISBN | 981-9996-29-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Editorial -- Contents -- Feature Articles -- Sustainable Manufacturing Processes in the Automotive Industry: Acoustic Emission Proposal to Reduce the Mechanical Testing Residues -- 1 Introduction -- 2 Experimental -- 2.1 Sample Size, Welding Alignment and Materials Properties -- 2.2 Machine Modification, Welding Lobe Curve and Welding Schedule -- 2.3 Signal Capture for the Welding Processes -- 2.4 Welding Process and Data Collection for Analysis -- 3 Results and Discussion -- 3.1 Welding Lobe Improvement -- 3.2 Sizing the Welds for Sound Welds Against Expulsion Welds -- 3.3 Dynamic Resistance -- 3.4 Tensile Shearing Force of Welded Joints -- 3.5 Metallurgical Study of a Sound Weld Over an Expulsion Weld -- 3.6 Hardness of the Good Welds Over Expulsion Welds -- 4 Conclusion -- References -- Research Papers -- Prediction of Cross-Sectional Shape, Microstructure and Mechanical Properties of Full Penetration Laser-GMAW Welded Butt Joints -- 1 Introduction -- 2 Methods -- 2.1 Assumptions and Exclusions -- 2.2 Thermal Conduction Model -- 2.3 Heat Source Model -- 2.4 Numerical Model -- 2.5 Thermal Dynamic Simulation -- 3 Simulation Results -- 3.1 Change of Cross Section Geometric Characteristics with Welding Parameters -- 3.2 Prediction of Microstructures and Mechanical Properties -- 4 Discussions -- 5 Conclusions -- Reference:s -- Comparative Study on Thermal Generation and Weld Performances of Two Types of Micro-Resistance Welding Between Thick Multi-Strand Cu Wire and Kovar Interconnector with Different Electrode Systems -- 1 Introduction -- 2 Experimental Procedure and Numerical Simulation -- 2.1 Welding Processes -- 2.2 Assessments of Mechanical and Electrical Properties -- 2.3 Characterization of the Welding Joints -- 2.4 Simulation of Welding Processes -- 3 Results and Discussion -- 3.1 Thick Wires Welded by SDSW and SSSW Techniques.
3.2 Numerical Simulation of Welding Processes -- 4 Conclusions -- References -- Forming Characteristics of Additive Manufacturing Process by Rotating Arc -- 1 Introduction -- 2 Experimental System and Methods -- 3 Surface Forming Quality of Single Deposition Bead -- 3.1 Effect of Rotating Frequency on Surface Forming Quality -- 3.2 Effect of Wire Feed Speed on Surface Forming Quality -- 3.3 Effect of Voltage on Surface Forming Quality -- 3.4 Effect of Travel Speed on Surface Forming Quality -- 4 Forming Characteristics of Single-Layer Multi-Bead Deposition -- 4.1 Effect of Rotating Frequency on Inter-Bead Fusion -- 4.2 Effect of Rotating Frequency on Surface Flatness -- 4.3 Effect of Rotating Frequency on Penetration -- 5 Forming Quality of Multi-layer Multi-bead Components -- 6 Conclusions -- References -- A Fast Point Cloud Reconstruction Algorithm for Saddle-Shaped Weld Seams in Boiler Header Joints -- 1 Introduction -- 2 Experimental Set-Up -- 2.1 Vision System Set-Up -- 2.2 Image Acquiring -- 3 Point Cloud Reconstruction -- 3.1 Point Cloud Coarse Registration -- 3.2 Point Cloud Fine Registration -- 3.3 Point Cloud Fusing -- 4 Conclusions -- References -- Feature Extraction and Classification Recognition of Molten Pool in Multi-layer and Multi-pass Welding of Medium and Thick Plates -- 1 Introduction -- 2 Fusion Pool Image Segmentation and Edge Extraction Based on U-Net Network -- 3 Calculation of Characteristic Parameters of Molten Pool -- 4 Classification of Typical Weld Pool Characteristics for Different Layers and Passes in Multi-layer and Multi-pass Welding of Medium and Thick Plates -- 5 Conclusion -- References -- Adaptive Ant Colony Algorithm Based on Global Scanning -- 1 Introduction -- 2 Environment Modeling -- 3 Basic Ant Colony Algorithm -- 3.1 Principle of Ant Colony Algorithm -- 3.2 Basic Steps of Ant Colony Algorithm. 4 Improved Ant Colony Algorithm (IACO) -- 4.1 Improvement Strategies for Ant Colony Algorithm -- 4.2 Pseudocode and Flowchart of the IACO -- 5 Simulation Experiments and Result Analysis -- 6 Conclusions and Future Work -- References -- ACB-RRT*: Adaptive Companion Points Bidirectional RRT* Algorithm -- 1 Introduction -- 2 Problem Definition -- 3 ACB-RRT* Algorithm -- 3.1 Target-Biased -- 3.2 Dynamic Step -- 3.3 Companion Point Generation -- 3.4 Node Optimization -- 3.5 Trajectory Smoothing -- 4 Algorithm Test and Analysis -- 4.1 Two-dimensional Space Simulation Experiments -- 4.2 3D Space Simulation Experiment -- 4.3 Complexity Analytics of ACB-RRT* -- 5 Scenario Test -- 6 Conclusion -- References -- Information for Authors -- Aims and Scopes -- Submission -- Style of Manuscripts -- Format of Manuscripts -- Originality and Copyright -- Author Index. |
Record Nr. | UNINA-9910800119103321 |
Singapore : , : Springer, , [2024] | ||
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Lo trovi qui: Univ. Federico II | ||
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Transactions on intelligent welding manufacturing / / edited by Shanben Chen, Yuming Zhang, Zhili Feng |
Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
Descrizione fisica | 1 online resource (110 pages) |
Disciplina | 002 |
Collana | Transactions on Intelligent Welding Manufacturing |
Soggetto topico | Welding - Automation |
ISBN | 981-19-6149-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Editorials -- Contents -- Feature Articles -- In-Process Sensing, Monitoring and Adaptive Control for Intelligent Laser-Aided Additive Manufacturing -- 1 Introduction -- 2 Methodology Overview of In-Process Sensing, Monitoring, and Control of the LAAM -- 2.1 Methodology Overview -- 2.2 System Setup -- 2.3 Multi-nodal Software Architecture -- 3 AI-Assisted Surface Defect Identification -- 3.1 Software Architecture -- 3.2 In-Situ Point Cloud Processing and Feature Extractions -- 3.3 Surface Defect Identification Using Hybrid Machine Learning Models -- 4 In-Process Adaptive Dimension Correction -- 4.1 Dimension Correction Strategy -- 4.2 Correction Toolpath Generation -- 5 Data-Driven Adaptive Closed-Loop Control -- 5.1 Software Architecture -- 5.2 Adaptive Closed-Loop Controller Design -- 5.3 Experimental Validation -- 6 Conclusions -- References -- Research Papers -- Machine Learning in Process Monitoring and Control for Wire-Arc Additive Manufacturing -- 1 Introduction -- 2 Review of Machine Learning in AM -- 2.1 Monitoring -- 2.2 Process Optimization -- 3 Application of Machine Learning in WAAM -- 3.1 Mask R-CNN Based Melt Pool Segmentation -- 3.2 Machine Learning Based Surface Roughness Prediction -- 3.3 CNN Based Melt Pool Anomalies Detection -- 3.4 Learning Based Process Control -- 4 Conclusion and Future Directions -- References -- Multi-information Sensing and Monitoring Experimental System of Intelligentized Welding Manufacturing Process -- 1 Introduction -- 1.1 The Application of IoT Technology in Welding Manufacturing -- 1.2 The Application of Multi-agent System (MAS) in IWM -- 1.3 The Application of Multi-information Sensing Technology in IWM -- 1.4 The Research on Intelligent Control Technology in IWM -- 1.5 The Designing Scheme of IWMS -- 2 The Agent Design in Unit Execution Agent Level -- 2.1 Macro-monitoring Agent.
2.2 Weld Pool Monitoring Agent -- 2.3 Infrared Thermal Sensor Agent -- 2.4 Spectrum Monitoring Agent -- 2.5 Arc Sound Monitoring Agent -- 2.6 Arc Voltage and Current Monitoring Agent -- 2.7 Tracking Control Agent -- 2.8 The Demonstration of IRWS and Industrial Cloud -- 3 The Composition of Multi-source Information Monitoring and Control System for Intelligent Welding Manufacturing Process Based on IoT-MAS -- 3.1 Design of Multi-agent Cooperation Mechanism Based on the Method of Alliance Formation and Cooperation -- 3.2 Agent Alliance System Construction -- 3.3 Central Control Agent and Follow-Up Collaborative Agent -- 3.4 Cooperative Timing Planning of Multi-agent Units -- 3.5 Integration of a Monitoring Experimental Platform for Robotic Welding Workstations in the Laboratory Environment -- 4 Conclusion -- References -- Defect Features Extraction and Reconstruction of Friction-Welded Joint in Piston Rod by Ultrasonic Testing -- 1 Introduction -- 2 Materials and Testing Method -- 3 Results and Discussion -- 3.1 Defect Signal Identification -- 3.2 Noise Reduction Processing of Defect Signals -- 3.3 Calculation of Defect Location -- 3.4 Two-dimensional Reconstruction of Defect Size -- 4 Conclusion -- References -- Design of WAAM System Based on Industrial Robot -- 1 Introduction -- 2 WAAM System of Industrial Robot -- 3 Model Processing and Path Planning -- 3.1 3D Model Simplification Algorithm -- 3.2 3D Model Subdivision Algorithm -- 3.3 Curve Smoothing Algorithm -- 3.4 Hybrid Filling Algorithm -- 3.5 Path Order Optimization -- 3.6 Coordinate System Calibration -- 4 3D Printing System Implementation -- 5 Conclusion -- References -- Author Index. |
Record Nr. | UNINA-9910634047403321 |
Singapore : , : Springer, , [2023] | ||
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Lo trovi qui: Univ. Federico II | ||
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Transactions on Intelligent Welding Manufacturing : Volume IV No. 1 2020 / / edited by Shanben Chen, Yuming Zhang, Zhili Feng |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
Descrizione fisica | 1 online resource (102 pages) |
Disciplina | 671.52 |
Collana | Transactions on Intelligent Welding Manufacturing |
Soggetto topico |
Control engineering
Robotics Automation Artificial intelligence Industrial engineering Production engineering Control, Robotics, Automation Artificial Intelligence Industrial and Production Engineering Control and Systems Theory |
ISBN | 981-19-3902-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Intelligentized technologies for robotic welding -- Advanced welding robot technologies -- Programming and simulation of welding robots -- Vision guiding and tracking technologies of welding robots -- Quality control of robotic welding -- Tele-control and network technologies for robotic welding -- Sensing technologies for welding process -- Robotic welding under special environment -- Intelligentized and digital welding equipments -- Intelligentized technologies for industrial process. |
Record Nr. | UNINA-9910590072803321 |
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Transactions on intelligent welding manufacturing . Volume III No. 4 2019 / / Shanben Chen, Yuming Zhang, Zhili Feng, editors |
Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (203 pages) |
Disciplina | 671.52 |
Collana | Transactions on Intelligent Welding Manufacturing |
Soggetto topico | Welding - Automation |
ISBN | 981-336-502-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910484866203321 |
Singapore : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. Federico II | ||
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Transactions on Intelligent Welding Manufacturing [[electronic resource] ] : Volume III No. 2 2019 / / edited by Shanben Chen, Yuming Zhang, Zhili Feng |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (138 pages) |
Disciplina | 671.52 |
Collana | Transactions on Intelligent Welding Manufacturing |
Soggetto topico |
Robotics
Automation Industrial engineering Production engineering Control engineering Robotics and Automation Industrial and Production Engineering Control and Systems Theory |
ISBN | 981-15-6922-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Intelligentized technologies for robotic welding -- Advanced welding robot technologies -- Programming and simulation of welding robots -- Vision guiding and tracking technologies of welding robots -- Quality control of robotic welding -- Tele-control and network technologies for robotic welding -- Sensing technologies for welding process -- Robotic welding under special environment -- Intelligentized and digital welding equipments -- Intelligentized technologies for industrial process. |
Record Nr. | UNINA-9910416083803321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Transactions on Intelligent Welding Manufacturing : Volume III No. 1 2019 / / editors, Shanben Chen, Yuming Zhang, Zhili Feng |
Edizione | [1st edition 2020.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (X, 167 p. 148 illus., 117 illus. in color. :) |
Disciplina | 629.892 |
Collana | Transactions on Intelligent Welding Manufacturing |
Soggetto topico |
Robotics
Automation Automatic control Industrial engineering Production engineering |
ISBN | 981-13-8192-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Intelligentized technologies for robotic welding -- Advanced welding robot technologies -- Programming and simulation of welding robots -- Vision guiding and tracking technologies of welding robots -- Quality control of robotic welding -- Tele-control and network technologies for robotic welding -- Sensing technologies for welding process -- Robotic welding under special environment -- Intelligentized and digital welding equipments -- Intelligentized technologies for industrial process. |
Record Nr. | UNINA-9910484594003321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Transactions on intelligent welding manufacturing . Volume III, No. 3 2019 / / Shanben Chen, Yuming Zhang, Zhili Feng, editors |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2020] |
Descrizione fisica | 1 online resource (X, 162 p. 105 illus., 62 illus. in color.) |
Disciplina | 671.52 |
Collana | Transactions on Intelligent Welding Manufacturing |
Soggetto topico | Welding - Automation |
ISBN | 981-15-7215-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Intelligentized technologies for robotic welding -- Advanced welding robot technologies -- Programming and simulation of welding robots -- Vision guiding and tracking technologies of welding robots -- Quality control of robotic welding -- Tele-control and network technologies for robotic welding -- Sensing technologies for welding process -- Robotic welding under special environment -- Intelligentized and digital welding equipments -- Intelligentized technologies for industrial process. |
Record Nr. | UNINA-9910427696103321 |
Gateway East, Singapore : , : Springer, , [2020] | ||
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Lo trovi qui: Univ. Federico II | ||
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