Advanced Manufacturing and Automation IX (Lecture Notes in Electrical Engineering, 634)

Preface\nOrganization\n	Organized and Sponsored by\n	Co-organized by\n	Honorary Chairs\n	General Chairs\n	Local Organizing Committee\n	International Programme Committee\n	Secretariat\nContents\nAbout the Editors\nDesign and Optimization\nPerformance Analysis of Ball Mill Liner Based on DEM-FEM Coupling\n	Abstract\n	1 Introduction\n	2 Typical Biological Structure Analyses\n	3 Lifting Bar Structure Design\n	4 Simulation Parameter Definitions\n		4.1 Particle Model Establishment\n		4.2 The Meshing of Geometry\n		4.3 Setting of Simulation Model\n	5 Simulation Result Analysis\n	6 Conclusions\n	Acknowledgement\n	References\nPerformance of Spiral Groove Dry Gas Seal for Natural Gas Considering Viscosity-Pressure Effect of the Gas\n	Abstract\n	1 Introduction\n	2 Model Description\n		2.1 Geometry Model\n		2.2 The Model of Natural Gas Viscosity-Pressure Effect\n		2.3 The Real Gas Model of Natural Gas\n		2.4 Modified Gas Film Pressure Governing Equations\n		2.5 Solution of Gas Film Pressure Governing Equations\n	3 Analytical Model and Verification\n		3.1 Model Verification\n		3.2 Property Parameter\n		3.3 Relative Errors\n	4 Results and Discussion\n		4.1 Leakage Rate\n		4.2 End Face Opening Force\n	5 Conclusions\n	Acknowledgement\n	References\nAnalysis of Residual Stress for Autofrettage High Pressure Cylinder\n	Abstract\n	1 Introduction\n	2 Residual Stress Analysis\n		2.1 Analysis of Residual Stress in Self-reinforced High Pressure Cylinder\n		2.2 Finite Element Analysis of Residual Stress\n		2.3 Analysis of Working Stress of Non-autofrettage High Pressure Cylinder\n	3 FEA of Residual Stress\n		3.1 Stress Distribution of the BLH Model\n		3.2 Stress Distribution of Autofrettage Material Model\n		3.3 Autofrettage Stress Optimization\n	4 Conclusions\n	References\nStudy on the Detection System for Electric Control Cabinet\n	Abstract\n	1 Introduction\n	2 System Introduction\n	3 Detection Module\n	4 Data Analysis Module\n	5 System Development\n	6 Result\n	Acknowledgements\n	References\nEffects of Remelting on Fatigue Wear Performance of Coating\n	Abstract\n	1 Introduction\n	2 Experimental Procedure\n		2.1 Preparation of Spraying Material and Coating Samples\n		2.2 Test Method\n	3 Test Results and Analysis\n		3.1 Analysis of Coating Wear Test Results\n		3.2 Wear Performance of Coating Layer\n	4 Wear Fatigue Life Prediction of Coated Parts\n	5 Conclusions\n	References\nDesign of Emergency Response Control System for Elevator Blackout\n	Abstract\n	1 Introduction\n	2 The Main Content of the Subject Research\n	3 Functional Requirements of the System\n	4 Control Circuit Design of the System\n		4.1 The Circuit Structure of the System\n		4.2 Design of Control Schematic Diagram of the System\n		4.3 Schematic Design of Wiring Between System and Control Cabinet\n	5 Summary\n	References\nEffect of Cerium on Microstructure and Friction of MoS2 Coating\n	Abstract\n	1 Introduction\n	2 The Material and Layer Process\n		2.1 Matrix\n		2.2 Coating Preparation Process\n	3 Experiment\n	4 Results and Analysis\n		4.1 The Microstructure of Coating Layers\n		4.2 The Friction Coefficient Curves of Coating Layers\n		4.3 Wear Morphology of Layers\n	5 Conclusion\n	Acknowledgments\n	References\nA Machine Vision Method for Elevator Braking Detection\n	Abstract\n	1 Introduction\n	2 Basic Theory\n		2.1 Two Dimensional Discrete Fourier Transform\n		2.2 Fourier Spectrum Analysis of Images\n		2.3 Calculation of Rotation Angle\n	3 Experiment and Result Analysis\n	4 Conclusion\n	References\nRemote Monitoring and Fault Diagnosis System and Method for Traction Elevator Cattle Dawn\n	Abstract\n	1 Introduction\n	2 Classify According to the Test Data\n	3 Remote Monitoring and Fault Diagnosis Methods for Traction Elevators Include the Following Steps\n	4 Conclusion\n	Acknowledgements\n	References\nSoil Resistance Computation and Discrete Element Simulation Model of Subsoiler Prototype Parts\n	Abstract\n	1 Introduction\n	2 Design and Process a Sample\n	3 Force Analysis\n	4 Discrete Element Method Simulation\n		4.1 The Establishment of Discrete Element Model\n		4.2 Determination of Discrete Element Simulation Parameters\n		4.3 Simulation\n	5 Test\n		5.1 Design and Build Test System\n		5.2 Test and Analysis\n	6 Discussion\n	7 Conclusions\n	Acknowledgements\n	References\nSimulation Analysis of Soil Resistance of White Asparagus Harvesting End Actuator Baffle Parts Based on Discrete Element Method\n	Abstract\n	1 Introduction\n	2 End Effector Baffle Structure Design\n	3 Simulation Parameter Setting\n	4 Analysis of Simulation Results\n		4.1 Analysis of the Resistance of Different Models in the Same Speed\n		4.2 Analysis of the Resistance of the Same Baffle at Different Speeds\n	5 Conclusions\n	Acknowledgements\n	References\nSimulation and Experimental Study of Static Porosity Droplets Deposition Test Rig\n	Abstract\n	1 Introduction\n	2 Construction of Space Droplets Deposition Test Device Based on Static Porosity\n	3 Static Porosity Space Droplet Deposition Distribution Test\n		3.1 Experimental Method and Environment\n		3.2 Combination of Test Schemes\n	4 CFD Simulation of Droplet Deposition in Static Porosity Droplet Tester\n		4.1 Spray Calculation Simulation of Static Porosity Tester\n		4.2 Simulation and Experimental Analysis of Spatial Droplet Deposition Distribution Under Static Porosity\n	5 Conclusions\n	Acknowledgements\n	References\nEffect of Heat Treatment on the Ductility of Inconel 718 Processed by Laser Powder Bed Fusion\n	Abstract\n	1 Introduction\n	2 Experimental Method\n	3 Results and Discussion\n		3.1 Heat Treatment Condition 1\n		3.2 Heat Treatment Condition 2\n	4 Discussion\n	5 Summary and Conclusions\n	Acknowledgements\n	References\nComparative Study of the Effect of Chord Length Computation Methods in Design of Wind Turbine Blade\n	Abstract\n	1 Introduction\n	2 Chord Length Distribution Calculation Methods\n		2.1 Chord Length Distribution Comparison\n	3 Blade Design and Simulation Using Qblade Software\n		3.1 Qblade Software\n		3.2 Blade Design and Modelling in Qblade Software\n		3.3 Blade Element Analysis and Different Comparison\n	4 Conclusion\n	References\nOn Modelling Techniques for Mechanical Joints: Literature Study\n	Abstract\n	1 Introduction\n	2 Modelling Approaches, Typical Test Methods and Models\n		2.1 Stochastic Models and Methods\n		2.2 Deterministic Method\n	3 Discussions and Outlooks\n	4 Conclusion\n	References\nResearch on Magnetic Nanoparticle Transport and Capture in Impermeable Microvessel\n	Abstract\n	1 Introduction\n	2 Theoretical Model\n		2.1 Fluid Control Equation\n		2.2 Magnetic Field and Magnetic Force Equation\n			2.2.1 External Magnetic Field Acts on the Magnetic Force of the Magnetic Particle\n			2.2.2 Additional Magnetic Field Acts on the Magnetic Force of the Magnetic Particles\n		2.3 Magnetic Particle Distribution Control Equation–Fock-Plank Equation\n		2.4 Magnetic Particle Capture Rate\n	3 Numerical Calculation Results and Analysis\n		3.1 Magnetic Field Distribution\n		3.2 Magnetic Particle Distribution\n		3.3 Magnetic Particle Capture Rate\n	4 Conclusion\n	References\nAnalysis of Drag of Bristle Based on 2-D Staggered Tube Bank\n	Abstract\n	1 Introduction\n	2 Model\n		2.1 Simulation Model\n		2.2 Condition Assumptions\n	3 Mesh Generation\n	4 Computing Method\n		4.1 Governing Equations\n		4.2 Determination of Reynolds Number\n		4.3 Solver\n	5 Theoretical Analysis of Drag\n	6 Discussion\n	7 Conclusion\n	Acknowledgement\n	References\nDesign of Large Tonnage Lift Guide Bracket\n	Abstract\n	1 Introduction\n	2 Primary Design of Guide Bracket\n	3 Calculation and Check of Car Guide Bracket\n	4 Structural Optimization and Finite Element Analysis\n	5 Conclusions\n	Acknowledgements\n	References\nStress Analysis of Hoist Auto Lift Car Frame\n	Abstract\n	1 Introduction\n	2 Primary Design of Car Frame\n	3 Material Selection and Check\n	4 Finite Element Analysis\n	5 Conclusions\n	Acknowledgements\n	References\nResearch on Lift Fault Prediction and Diagnosis Based on Multi-sensor Information Fusion\n	Abstract\n	1 Introduction\n	2 Multi-sensor Synthesis Analysis\n	3 D-S Theory\n	4 Fusion of Neural Network, DS and Sensor Data\n	5 Conclusions\n	Acknowledgements\n	References\nDesign of Permanent Magnet Damper for Elevator\n	Abstract\n	1 Introduction\n	2 Structure and Principle\n	3 The Design and Analysis of Magnet\n		3.1 The Design of Eddy Current Reducer\n		3.2 Design of Permanent Magnet Spring\n	4 Results and Discusses\n		4.1 Effect of Magnetic Arrangement\n		4.2 Effect of Falling Speed\n		4.3 Permanent Magnet Spring Support Effect\n	5 Conclusion\n	Acknowledgments\n	References\nDesign and Simulation of Hydraulic Braking System for Loader Based on AMESim\n	Abstract\n	1 Introduction\n	2 Hydraulic Braking System Simulation\n	3 Mathematical Model of Hydraulic Braking System\n		3.1 Simplification of Braking System\n		3.2 Mathematical Model of Simplified System\n	4 Results and Discussion\n	5 Conclusions\n	References\nDynamic Modeling and Tension Analysis of Redundantly Restrained Cable-Driven Parallel Robots Considering Dynamic Pulley Bearing Friction\n	Abstract\n	1 Introduction\n	2 Dynamic Modeling\n	3 Friction Model Construction and Simulation\n		3.1 Coulomb Friction Model\n		3.2 Simulation of Coulomb Friction Model\n		3.3 Dahl Friction Model\n		3.4 Simulation of Dahl Friction Model\n	4 Conclusion\n	Acknowledgements\n	References\nIndustry 4.0\nKnowledge Discovery and Anomaly Identification for Low Correlation Industry Data\n	Abstract\n	1 Introduction\n	2 Data Correlation Analysis\n		2.1 Data Integration and Normalization\n		2.2 Data Analytics for Impending Failure Prediction\n		2.3 Correlation Validation\n	3 Knowledge Discovery and Anomaly Identification\n	4 Discussion and Conclusion\n	Acknowledgment\n	References\nA Method of Communication State Monitoring for Multi-node CAN Bus Network\n	Abstract\n	1 Introduction\n	2 Scheme Design of Monitoring\n		2.1 CAN Bus Network\n		2.2 Principle of Monitoring\n	3 Software Design of Lower Computer\n	4 Software Design of Upper Computer\n	5 Experimental Results\n	6 Conclusion\n	References\nCommunication Data Processing Method for Massage Chair Detection System\n	Abstract\n	1 Introduction\n	2 Detection System Master-Slave Information Interaction\n	3 Message Broadcast Information Mark\n	4 Message Broadcast Information Filtering and Identification\n	5 Transmission of Long Message\n	6 Real-Time Transmission of Message Information\n	7 Conclusion\n	References\nDevelopment of Data Visualization Interface in Smart Ship System\n	Abstract\n	1 Introduction\n	2 System Architecture and Functional Structure Analysis\n		2.1 Design of System Architecture Design\n		2.2 System Function Requirements Analysis and Communication Protocol\n	3 Design and Implementation of System Dynamic Webpage\n	4 Conclusions\n	References\nFeature Detection Technology of Communication Backplane\n	Abstract\n	1 Introduction\n	2 System Design\n	3 Image Enhancement Processing\n		3.1 Image Color Merging Using K-Means Algorithm\n		3.2 Spatial Domain Image Enhancement\n	4 Deep Learning and Data Processing\n		4.1 Image Recognition Based on CNN\n		4.2 Label the Results on the Original Image\n	5 Conclusions\n	References\nResearch on Data Monitoring System for Intelligent Ship\n	Abstract\n	1 Introduction\n	2 Hardware Platform Architecture\n	3 Basic Software Platform Architecture\n	4 Application Software Platform\n	5 Development of Data Monitoring System\n	6 Conclusions\n	References\nResearch on Fault Diagnosis Algorithm Based on Multiscale Convolutional Neural Network\n	Abstract\n	1 Introduction\n	2 Multiscale Convolutional Neural Network Model\n		2.1 Multiscale Convolutional Neural Network Model Structure\n	3 Rolling Bearing Fault Diagnosis Algorithm Based on Multiscale Convolutional Neural Network\n		3.1 Selection of Data Sources and Network Parameters\n		3.2 Visualization of the Network Structure\n		3.3 Model Comparison\n	4 Conclusions\n	Acknowledgements\n	References\nProactive Learning for Intelligent Maintenance in Industry 4.0\n	Abstract\n	1 Introduction\n	2 Industry 4.0: Enabling Technologies\n	3 Predictive Maintenance Supportive Structure\n	4 Adaptive Learning Approach and Applications\n	5 Conclusion\n	Acknowledgement\n	References\nAn Introduction of the Role of Virtual Technologies and Digital Twin in Industry 4.0\n	Abstract\n	1 Introduction\n	2 Cyber Physical System\n	3 The Role of Virtual Technology\n	4 The Role of Digital Twin\n	5 Conclusion\n	Acknowledgment\n	References\nModel Optimization Method Based on Rhino\n	Abstract\n	1 Introduction\n	2 Software Basic Introduction\n		2.1 3D Modeling Software—Rhino\n		2.2 3D Engine—Unity 3D\n	3 Model Optimization Method Based on Rhino\n		3.1 Optimization Method Based on Plug-in\n		3.2 Optimization Method Based on Rhino’s Own Tools\n		3.3 Rhino’s Own Tools Improvements\n	4 Comparative Analysis\n	5 Conclusion\n	Acknowledgements\n	References\nConstruction of Equipment Maintenance Guiding System and Research on Key Technologies Based on Augmented Reality\n	Abstract\n	1 Preface\n	2 Equipment Maintenance Guiding System Based on Augmented Reality\n	3 Key Technologies of Equipment Maintenance Guiding\n		3.1 Tracking Registration Technology\n		3.2 Virtual-Real Masking Consistency Technology\n		3.3 Human-Computer Interaction Technology\n	4 Research Content and System Operation Process of Virtual-Real Fusion Maintenance Guiding\n		4.1 Research Content\n		4.2 System Operation Process\n	5 Summary\n	Acknowledgements\n	References\nA New Fault Identification Method Based on Combined Reconstruction Contribution Plot and Structured Residual\n	Abstract\n	1 Introduction\n	2 Reconstruction Contribution Method\n	3 Structured Residual\n		3.1 The Principle of Structured Residual\n	4 The Fault Identification Algorithm Flow Based on Reconstruction Contribution Plot and Structured Residual\n	5 Simulation Validation and Analysis\n		5.1 Simulation Environment Setting\n		5.2 The Analysis and Comparison for Simulation\n	6 Conclusion\n	Acknowledgements\n	References\nPrediction of Blast Furnace Temperature Based on Improved Extreme Learning Machine\n	Abstract\n	1 Introduction\n	2 Improved Extreme Learning Machine\n		2.1 Flower Pollinate Algorithm\n		2.2 Extreme Learning Machine\n		2.3 Improved ELM Based on FPA (FPA-ELM)\n	3 Prediction Model for Blast Furnace Temperature\n	4 Simulation Results\n	5 Conclusions\n	Acknowledgements\n	References\nThe Economic Dimension of Implementing Industry 4.0 in Maintenance and Asset Management\n	Abstract\n	1 Introduction\n	2 Value Driven Maintenance and Sensitivity Analysis\n	3 Industry 4.0\n	4 Discussion\n	5 Conclusion\n	References\nManufacturing System\nCommon Faults Analysis and Detection System Design of Elevator Tractor\n	Abstract\n	1 Elevator Tractor\n	2 Analysis of Common Faults of Elevator Tractor\n	3 Vibration Analysis of Elevator Tractor\n		3.1 Electromagnetic Vibration\n		3.2 Mechanical Vibration\n	4 Selection of Vibration Detection Points for Elevator Tractor\n	5 Design of Detection System for Elevator Tractor\n		5.1 Overall Design of Elevator Detection System\n		5.2 Design of Detection Software\n		5.3 Main Interface for Traction Machine Detection\n	References\nBalanced Maintenance Program with a Value Chain Perspective\n	Abstract\n	1 Introduction\n	2 A Value Chain Perspective for Smart Maintenance\n	3 Balanced Maintenance Program\n	4 Conclusion\n	References\nConstruction Design of AGV Caller System\n	Abstract\n	1 Introduction\n	2 Construction of AGV Caller System\n		2.1 Overall Framework\n		2.2 Design of Caller\n		2.3 Design of CCS\n		2.4 Introduction to AGV\n		2.5 Stock Management\n	3 Experiment\n	4 Conclusion\n	Acknowledgements\n	References\nA Transfer Learning Strip Steel Surface Defect Recognition Network Based on VGG19\n	Abstract\n	1 Introduction\n	2 Strip Steel Surface Defect Recognition Based on Convolutional Neural Network\n		2.1 Data Background Introduction and Model Performance Index Evaluation System\n		2.2 Convolutional Neural Network Structure Design and Performance Analysis\n	3 Strip Steel Surface Defect Recognition Network Based on Transfer Learning\n		3.1 Transfer Learning Network Based on VGG19\n		3.2 Improvement of Transfer Learning Network Based on VGG19\n	4 Comparison with Machine Learning Algorithms\n	5 Conclusions\n	Acknowledgements\n	References\nVisual Interaction of Rolling Steel Heating Furnace Based on Augmented Reality\n	Abstract\n	1 Introduction\n	2 System Framework\n	3 System Structure Function Design and Implementation\n		3.1 Equipment Motion Control\n		3.2 Equipment Parameter Information Monitoring\n		3.3 Virtual Line Scheduling\n	4 Effect Analysis of Practical Application\n	5 Conclusion\n	Acknowledgements\n	References\nDesign and Test of Electro-Hydraulic Control System for Intelligent Fruit Tree Planter\n	Abstract\n	1 Introduction\n	2 Mechanical Structure and Control Principle of Planting System\n	3 Overall Scheme Design of Control System\n		3.1 Hardware Design of Control System\n		3.2 Automatic Planting Operation Subsystem\n		3.3 Data Acquisition Subsystem\n		3.4 PID Intelligent Feedback Subsystem\n		3.5 Hydraulic Transmission Control Subsystem\n	4 Test and Result Analysis\n	5 Conclusions\n	Acknowledgements\n	References\nLean Implementing Facilitating Integrated Value Chain\n	Abstract\n	1 Introduction\n	2 Theoretical Background\n		2.1 Integrated Value Chain\n		2.2 Lean\n		2.3 Factors Influencing Lean and Integration\n	3 Research Design\n	4 Results and Discussion\n		4.1 Management Commitment\n		4.2 Standardization\n		4.3 Visualization Tools\n		4.4 Employee Involvement\n	5 Conclusions\n	Acknowledgements\n	References\nDeveloping of Auxiliary Mechanical Arm to Color Doppler Ultrasound Detection\n	Abstract\n	1 Function Requirements Analysis\n	2 Design of the Mechanical Arm\n	3 Simulation of the Mechanical Arm\n		3.1 Detection Simulation\n		3.2 Dynamics Simulation\n	4 Conclusions\n	References\nThe Importance of Key Performance Indicators that Can Contribute to Autonomous Quality Control\n	Abstract\n	1 Introduction\n	2 Zero Defect as a Purpose for Quality Planning and Data Collection\n	3 KPI’s for Autonomous Quality Control in Relation to a Workflow Software Engine\n	4 Results and Discussion\n	5 Conclusions\n	Acknowledgements\n	References\nCollaborative Fault Diagnosis Decision Fusion Algorithm Based on Improved DS Evidence Theory\n	Abstract\n	1 Introduction\n	2 Collaborative Fault Diagnosis Decision Fusion Model Based on DS Evidence Theory\n	3 Decision Fusion Algorithm Based on Improved DS Evidence Theory\n	4 Numerical Simulation Analysis\n	5 Conclusions\n	Acknowledgements\n	References\nHybrid Algorithm and Forecasting Technology of Network Public Opinion Based on BP Neural Network\n	Abstract\n	1 Introduction\n	2 State of the Art\n	3 Methodology\n		3.1 Clustering Method Analysis\n		3.2 Algorithm and Optimization of BP Neural Network\n	4 Result Analysis and Discussion\n	5 Conclusions\n	Acknowledgements\n	References\nApplying Quality Function Deployment in Smart Phone Design\n	Abstract\n	1 Introduction\n	2 Literature Review\n	3 Critical Evaluation\n	4 Conclusion\n	References\neQUALS: Automated Quality Check System for Paint Shop\n	Abstract\n	1 Introduction\n	2 State of the Art\n	3 The eQUALS System\n		3.1 Proof of Concept\n		3.2 Virtual Validation\n		3.3 Phase II\n	4 Results\n	5 Conclusions\n	Acknowledgments\n	References\nEquipment Fault Case Retrieval Algorithm Based on Mixed Weights\n	Abstract\n	1 Introduction\n	2 CBR Based Fault Diagnosis Method\n	3 CRAMW Algorithm\n		3.1 Determination of Attribute Weight Based on Entropy Weight Method\n		3.2 Equipment Fault Case Retrieval Algorithm Based on Mixed Weights\n	4 Results and Discussion\n	5 Conclusions\n	References\nCascaded Organic Rankine Cycles (ORCs) for Simultaneous Utilization of Liquified Natural Gas (LNG) Cold Energy and Low-Temperature Waste Heat\n	Abstract\n	1 Introduction\n	2 Process Description\n	3 Process Optimization\n	4 Results and Discussion\n	5 Conclusion\n	References\nManufacturing Technology\nEffect of T-groove Parameters on Steady-State Characteristics of Cylindrical Gas Seal\n	Abstract\n	1 Introduction\n	2 Model\n		2.1 T-groove Cylinder Gas Film Seal\n		2.2 Model Structure\n		2.3 Mesh Structure\n		2.4 Model Assumptions\n		2.5 Boundary Conditions\n		2.6 Solution Set\n	3 Results\n		3.1 Effect of Number of Grooves\n		3.2 Effect of Groove Depth\n		3.3 Effect of Groove Width Ratio (γ)\n	4 Summary\n	Acknowledgement\n	References\nSimulation Algorithm of Sample Strategy for CMM Based on Neural Network Approach\n	Abstract\n	1 Introduction\n	2 Artificial Neural Network Approach\n	3 Model Implementation\n	4 Simulation Procedure\n	5 Results and Discussion\n	6 Conclusion\n	References\nDigital Modeling and Algorithms for Series Topological Mechanisms Based on POC Set\n	Abstract\n	1 Introduction\n	2 Digital Modeling of Series Mechanism Topologies\n		2.1 Sports Subtype and Scale Constraint\n		2.2 A Digital Matrix Description of Series Mechanism POC Set\n	3 Planar Substring and Its POC Set\n	4 Automatic Generation of Series Mechanism POC Sets\n		4.1 Identification of Planar Substrings in Series Branches of Automatic Generation Algorithm Flow and Extraction of POC Set Matrix\n	5 Conclusion\n	References\nOptimization of Injection Molding for UAV Rotor Based on Taguchi Method\n	Abstract\n	1 Introduction\n	2 Construction of Injection Molding Systems\n		2.1 Process Analysis\n		2.2 Establishment of a Finite Element Model\n	3 Experimental Design by Taguchi Method\n	4 Analysis of Experimental Data\n		4.1 Experimental Results\n		4.2 Effect of Process Parameters on Deformation of Plastic Parts\n	5 Verification and Analysis\n	6 Conclusion\n	References\nAssembly Sequence Optimization Based on Improved PSO Algorithm\n	Abstract\n	1 Introduction\n	2 Problem Statement\n		2.1 Constraints\n		2.2 Fitness Function\n	3 Algorithmic Design\n		3.1 Basic PSO Algorithms\n		3.2 Improved PSO Algorithm\n	4 Examples Verification\n		4.1 Experimental Settings\n		4.2 Running Results\n	5 Conclusions\n	Acknowledgements\n	References\nInfluence of Laser Scan Speed on the Relative Density and Tensile Properties of 18Ni Maraging Steel Grade 300\n	Abstract\n	1 Introduction\n	2 Method\n	3 Results and Discussion\n	4 Conclusions\n	Acknowledgements\n	References\nApplication of Automotive Rear Axle Assembly\n	Abstract\n	1 Introduction\n	2 System Overall Technical Framework\n		2.1 Lightweight Treatment of Automobile Rear Axle Assembly Line\n		2.2 Data Acquisition During Assembly Execution\n		2.3 Interaction Mechanism Between Physical Space and Virtual Space\n	3 Framework Application Examples and Effects\n	4 Conclusions\n	Acknowledgements\n	References\nImprovement of Hot Air Drying on Quality of Xiaocaoba Gastrodia Elata in China\n	Abstract\n	1 Introduction\n	2 Materials and Methods\n		2.1 Raw Materials\n		2.2 Main Equipment\n		2.3 Hot Air Drying\n		2.4 The Evaluation Index\n		2.5 The Technological Process\n	3 Results and Discussion\n		3.1 The Appearance\n		3.2 Dry Base Moisture Content\n		3.3 Gastrodin\n		3.4 Polysaccharide\n	4 Conclusions\n	Acknowledgements\n	References\nInstallation Parameters Optimization of Hot Air Distributor During Centrifugal Spray Drying\n	Abstract\n	1 Introduction\n	2 CFX Simulation and Verification\n	3 Optimization and Result Verification\n		3.1 CCD-RSM Parameters Optimization\n		3.2 Verify Optimized Process Parameters\n		3.3 Optimization Results\n	4 Conclusions\n	References\nWear Mechanism of Curved-Surface Subsoiler Based on Discrete Element Method\n	Abstract\n	1 Introduction\n	2 Establishment of Discrete Element Simulation Model\n		2.1 Subsoiler Model\n		2.2 Soil Model\n		2.3 Subsoiling Model\n	3 Results and Analysis of Discrete Element Simulations\n		3.1 Analysis of the Wear Surface of the Subsoiler\n			3.1.1 The Wear Surface of Subsoiler Tip\n			3.1.2 The Wear Surface of Subsoiler-Surface\n			3.1.3 The Wear Surface of Subsoiler Handle\n		3.2 Verification of the Subsoiler Wear\n	4 Conclusions\n	Acknowledgements\n	References\nDevelopment Status of Balanced Technology of Battery Management System of Electric Vehicle\n	Abstract\n	1 Introduction\n	2 Equalization Circuit Structure\n		2.1 Passive Equilibrium\n		2.2 Active Equilibrium\n	3 Balance Criteria\n		3.1 Equilibrium Variable\n		3.2 Equilibrium Strategy Method\n	4 Conclusion\n	References\nApplication Analysis of Contourlet Transform in Image Denoising of Flue-Cured Tobacco Leaves\n	Abstract\n	1 Introduction\n	2 General Model of Image Denoising\n	3 Image Denoising Based on Contourlet Transform\n	4 Analysis and Comparison of Simulation Results\n	5 Conclusions\n	References\nMonte Carlo Simulation of Nanoparticle Coagulation in a Turbulent Planar Impinging Jet Flow\n	Abstract\n	1 Introduction\n	2 Numerical Methodology\n		2.1 Governing Equations for Gas Phase\n		2.2 Governing Equations for Particle Phase\n	3 Algorithmic Implementation\n	4 Results and Discussion\n		4.1 Configuration and Model Description\n		4.2 Evolution of Coherent Structures\n		4.3 Evolution of Nanoparticles\n	5 Conclusions\n	Acknowledgements\n	References\nStructural Damage Detection of Elevator Steel Plate Using GNARX Model\n	Abstract\n	1 Introduction\n	2 Expression of GNARX Model\n	3 Identification of GNARX Model\n		3.1 Parameter Estimation of GNARX Model\n		3.2 Structure Identification of GNARX Model\n	4 Structural Damage Detection of Elevator Steel Plate\n		4.1 KNN Algorithm\n		4.2 Data Acquisition\n		4.3 Result and Discussion\n	5 Conclusions\n	References\nProduction Management\nThe Innovative Development and Application of New Energy Vehicles Industry from the Perspective of Game Theory\n	Abstract\n	1 Introduction\n	2 Literature Review\n	3 Case Analysis and Propositions\n		3.1 Model Assumptions and Definitions\n		3.2 Model Analysis and Recommendations\n			3.2.1 Game Model Analysis of Supply Side and Demand Side in New Energy Vehicle Market\n			3.2.2 Game Model Analysis of Supply Side in New Energy Vehicle Market\n			3.2.3 Game Model Analysis Between Government and Enterprise in New Energy Vehicle Market\n	4 Conclusions\n	Acknowledgement\n	References\nSurvey and Planning of High-Payload Human-Robot Collaboration: Multi-modal Communication Based on Sensor Fusion\n	Abstract\n	1 Introduction\n	2 Related Research\n	3 Scenarios\n	4 Discussion\n	5 Conclusion\n	Acknowledgements\n	References\nResearch on Data Encapsulation Model for Memory Management\n	Abstract\n	1 Introduction\n	2 Data Storage Modeling\n	3 Memory Management and Dynamic Storage\n	4 Application Example\n	5 Conclusions\n	References\nResearch on Task Scheduling Design of Multi-task System in Massage Chair Function Detection\n	Abstract\n	1 Introduction\n	2 The Principle of Task Scheduling\n	3 The Logical Design of Task Scheduling for Massage Chair Function Detection\n	4 The Verification of Massage Chair Function Detection Logic Task Scheduling\n	5 Conclusions\n	References\nA Stochastic Closed-Loop Supply Chain Network Optimization Problem Considering Flexible Network Capacity\n	Abstract\n	1 Introduction\n	2 Mathematical Model\n	3 Algorithm\n	4 Experiment and Discussion\n	5 Conclusions\n	References\nSolving the Location Problem of Printers in a University Campus Using p-Median Location Model and AnyLogic Simulation\n	Abstract\n	1 Introduction\n	2 Method\n		2.1 p-median Location Problem\n		2.2 AnyLogic Simulation\n	3 Case Study\n	4 Result and Discussion\n	5 Conclusions\n	References\nIntelligent Workshop Digital Twin Virtual Reality Fusion and Application\n	Abstract\n	1 Introduction\n	2 System Framework\n	3 System Structure Function Design and Implementation\n		3.1 Multi-source Data Collection Based on Intelligent Workshop\n		3.2 Intelligent Workshop Data Fusion Model Based on Digital Twins\n			3.2.1 Intelligent Shop Floor Data Filtering Based on Digital Twins\n			3.2.2 Intelligent Workshop Data Fusion Modeling Based on Digital Twins\n	4 Effect Application Examples and Effect Analysis\n	5 Conclusions\n	Acknowledgements\n	References\nHarvesting Path Planning of Selective Harvesting Robot for White Asparagus\n	Abstract\n	1 Introduction\n	2 Global Path Planning Algorithm\n		2.1 Harvesting Path Planning\n		2.2 Global Optimal Path Planning Algorithm\n	3 Path Planning Algorithm Based on Sequential Harvesting\n	4 Simulation Analysis of Path Planning Algorithm\n		4.1 Simulation Analysis of Global Optimal Path Planning Algorithm\n		4.2 Simulation Analysis of Path Planning Algorithm Based on Sequential Harvesting\n		4.3 Comparison Between Global Optimal Path Planning Algorithm and Path Planning Algorithm Based on Sequential Harvesting\n	5 Conclusion\n	Acknowledgements\n	References\nOptimization of Technological Processes at Production Sites Based on Digital Modeling\n	Abstract\n	1 Introduction\n	2 Representation of an Initial Technological Route as an MSC Diagram\n	3 Optimization of a Technological Route\n	4 Digital Modeling and Simulation\n	5 Conclusions\n	Acknowledgements\n	References\nSmart Maintenance in Asset Management – Application with Deep Learning\n	Abstract\n	1 Introduction\n	2 Smart Maintenance in Asset Management\n		2.1 The Trend Towards Smart Maintenance\n		2.2 Smart Maintenance Framework\n	3 Smart Maintenance Planning with Criticality Assessment\n	4 Discussion and Concluding Remarks\n	Acknowledgements\n	References\nMaintenance Advisor Using Secondary-Uncertainty-Varying Type-2 Fuzzy Logic System for Offshore Power Systems\n	Abstract\n	1 Introduction\n	2 Reliability Models in System Maintenance Optimizer\n	3 Intelligent Maintenance Advisor with Type-2 Fuzzy Logic System\n	4 Results and Discussion\n		4.1 Case Study and Parameters\n		4.2 Advantage of Secondary-Uncertainty-Varying Type-2 Fuzzy Logic in Reducing Computational Complexity\n		4.3 Impacts of Operational Variations and Uncertainties on Optimization of Maintenance Schedules\n	5 Conclusions\n	Acknowledgements\n	References\nDetermine Reducing Sugar Content in Potatoes Using Hyperspectral Combined with VISSA Algorithm\n	Abstract\n	1 Introduction\n	2 Materials and Methods\n		2.1 Sample Preparation and Determination\n		2.2 Hyperspectral Acquisition System\n		2.3 Variable Iterative Space Shrinkage Algorithms\n		2.4 Running Environment and Software Code\n	3 Results and Analysis\n		3.1 Spectral Analysis and Pretreatment\n		3.2 Selection of Characteristic Wavelength\n		3.3 Establishment of Prediction Model\n	4 Conclusions\n	Acknowledgements\n	References\nGame Theory in the Fashion Industry: How Can H&M Use Game Theory to Determine Their Marketing Strategy?\n	Abstract\n	1 Introduction\n	2 Literature Review\n	3 Game Theory in the Fashion Industry\n	4 Critical Analysis of Game Theory\n	5 Conclusion\n	References\nMultidimensional Analysis Between High-Energy-Physics Theory Citation Network and Twitter\n	Abstract\n	1 Introduction\n	2 Shortest Path Length\n	3 Clustering Coefficients Comparison\n	4 Conclusion\n	References\nApplication of Variable Step Size Beetle Antennae Search Optimization Algorithm in the Study of Spatial Cylindrical Errors\n	Abstract\n	1 Introduction\n	2 Establishment of Mathematical Model of Spatial Cylindrical\n	3 Proposed Algorithm\n		3.1 Algorithm Flow\n		3.2 Algorithm Test\n	4 Experimental Results and Discussion\n	5 Conclusions\n	Acknowledgements\n	References\nA Categorization Matrix and Corresponding Success Factors for Involving External Designers in Contract Product Development\n	Abstract\n	1 Introduction\n	2 Supplier Involvement\n		2.1 Relevant Supplier Categories for Contract Product Development\n		2.2 Success Factors\n	3 Methodology\n	4 A Categorization Approach/Matrix\n	5 Success Factors\n	6 Conclusion\n	Acknowledgements\n	References\nEngineering Changes in the Engineer-to-Order Industry: Challenges of Implementation\n	Abstract\n	1 Introduction\n	2 Methodology\n	3 Engineering Change Management\n	4 Results\n	5 Discussion\n	6 Conclusion\n	Acknowledgements\n	References\nImpact of Carbon Price on Renewable Energy Using Power Market System\n	Abstract\n	1 Introduction\n	2 Data and Methodology\n		2.1 Power System Modeling\n		2.2 Carbon Price and Scenarios Design\n	3 Results and Discussions\n	4 Conclusions and Discussion\n	References\nAuthor Index