LEADER 05059nam 2200457 450 001 9910634047403321 005 20231110225033.0 010 $a981-19-6149-2 035 $a(MiAaPQ)EBC7156566 035 $a(Au-PeEL)EBL7156566 035 $a(CKB)25657533500041 035 $a(EXLCZ)9925657533500041 100 $a20230416d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aTransactions on intelligent welding manufacturing /$fedited by Shanben Chen, Yuming Zhang, Zhili Feng 210 1$aSingapore :$cSpringer,$d[2023] 210 4$d©2023 215 $a1 online resource (110 pages) 225 1 $aTransactions on Intelligent Welding Manufacturing 311 08$aPrint version: Chen, Shanben Transactions on Intelligent Welding Manufacturing Singapore : Springer,c2023 9789811961489 320 $aIncludes bibliographical references and index. 327 $aIntro -- 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. 327 $a2.2 Weld Pool Monitoring Agent -- 2.3 Infrared Thermal Sensor Agent -- 2.4 Spectrum Monitoring Agent -- 2.5 Arc Sound Monitoring Agent -- 2.6 Arc Voltage and Current Monitoring Agent -- 2.7 Tracking Control Agent -- 2.8 The Demonstration of IRWS and Industrial Cloud -- 3 The Composition of Multi-source Information Monitoring and Control System for Intelligent Welding Manufacturing Process Based on IoT-MAS -- 3.1 Design of Multi-agent Cooperation Mechanism Based on the Method of Alliance Formation and Cooperation -- 3.2 Agent Alliance System Construction -- 3.3 Central Control Agent and Follow-Up Collaborative Agent -- 3.4 Cooperative Timing Planning of Multi-agent Units -- 3.5 Integration of a Monitoring Experimental Platform for Robotic Welding Workstations in the Laboratory Environment -- 4 Conclusion -- References -- Defect Features Extraction and Reconstruction of Friction-Welded Joint in Piston Rod by Ultrasonic Testing -- 1 Introduction -- 2 Materials and Testing Method -- 3 Results and Discussion -- 3.1 Defect Signal Identification -- 3.2 Noise Reduction Processing of Defect Signals -- 3.3 Calculation of Defect Location -- 3.4 Two-dimensional Reconstruction of Defect Size -- 4 Conclusion -- References -- Design of WAAM System Based on Industrial Robot -- 1 Introduction -- 2 WAAM System of Industrial Robot -- 3 Model Processing and Path Planning -- 3.1 3D Model Simplification Algorithm -- 3.2 3D Model Subdivision Algorithm -- 3.3 Curve Smoothing Algorithm -- 3.4 Hybrid Filling Algorithm -- 3.5 Path Order Optimization -- 3.6 Coordinate System Calibration -- 4 3D Printing System Implementation -- 5 Conclusion -- References -- Author Index. 410 0$aTransactions on Intelligent Welding Manufacturing 606 $aWelding$xAutomation 615 0$aWelding$xAutomation. 676 $a002 702 $aChen$b Shanben 702 $aZhang$b Yuming 702 $aFeng$b Zhili 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910634047403321 996 $aTransactions on intelligent welding manufacturing$91949725 997 $aUNINA