Proceedings of 3rd International Conference on the Industry 4.0 Model for Advanced Manufacturing (eBook)

Preface 6
Conference Founder and Chair 7
Conference Co-chairs 7
International Programme Committee 7
Organizing Committee 8
Contents 10
Hybrid Machining Processes 12
Abstract 12
1 Introduction 12
2 Classification of Hybrid Processes 13
3 Assisted Hybrid Machining Processes 14
3.1 High-Pressure Jet Assisted Machining (HPJAM) 14
3.2 Cryogenic Machining 19
3.3 Laser Assisted Machining 22
3.4 Ultrasonic Assisted Machining 24
4 Conclusions 26
References 27
Intelligent Sensing Systems – Status of Research at KaProm 29
Abstract 29
1 Introduction 29
2 The Structure of Intelligent Sensing System 31
3 Machining Operations Monitoring 32
4 2D and 3D Vision Systems 34
4.1 Identification of Textile Web Lateral Density Profile 35
4.2 Image-Based Visual Servo Control of Robot Manipulator 36
4.3 Recognition of Planar Segments from 3D Point Clouds 38
5 Contact States Recognition in Assembly Processes 39
6 Sensing Systems for Mobile Robots 41
6.1 Low-Cost Mobile Robot Positioning Based on Infrared Sensors 41
6.2 Biologically Inspired Algorithms for Learning and Reproduction of Mobile Robot Motion Trajectories 43
7 Conclusion 45
Acknowledgments 46
References 46
Industry 4.0 and Paradigm Change in Economics and Business Management 48
Abstract 48
1 Introduction 48
2 Industrial Revolution 4.0: The Impact on an Economy 49
3 New Social Normalities in Industry 4.0 52
4 Paradigm Change in Economic Theory and Policy Platform 56
5 Serbia’s Road of New Industrialization 60
6 Industrial Policy and Advanced Manufacturing 62
7 Conclusion 66
References 66
Photogrammetry Applied to Small and Micro Scaled Objects: A Review 68
Abstract 68
1 Introduction 68
2 Photogrammetric Process Applied to Small Objects 69
3 Main Advances Regarding the Photogrammetric Reconstruction of Small Objects 71
3.1 Camera Calibration 71
3.2 Image Acquisition 74
3.2.1 Automated Scanners with Moving Sensors (Motorized Systems) 74
3.2.2 Scanning Strategy 75
3.2.3 Illumination 76
3.3 Image Processing 77
3.3.1 Software Algorithms 77
3.3.2 Scale Adjustment 79
4 Measurement Traceability 81
5 Future Challenges 85
6 Conclusions 86
References 86
Artificial Neural Networks in Advanced Thermoset Matrix Composite Manufacturing 89
Abstract 89
1 Introduction 89
2 Materials and Methods 90
2.1 Modelling 90
2.2 Artificial Neural Network Model 92
3 Results and Discussion 94
4 Conclusions 98
References 98
Recent Streams of Digital Manufacturing, Its Emerging Trend and Future Directions for SME in Japan 100
Abstract 100
1 Introduction 100
2 Background 101
3 Findings 102
4 Discussions 104
References 108
Intelligent Integrated Management and Advanced Metrology for Quality Toward the Factory of the Future 109
Abstract 109
1 Introduct?on 109
2 Intelligent integrated Management and Metrology for Design and Production 111
3 The Model of Precision Manufacturers Based on Intelligent Metrology and Geometrical Product Specif ... 113
4 Linking of Intelligent Integrated Management to Design and Advanced Production 114
5 Intelligent Metrology and Quality Assurance 115
6 Conclusion and Future Work 118
References 118
Hybrid Machining: An Industrial Case-Study Comparing Inconel718 Reaming and Drilling with Abrasive W ... 120
Abstract 120
1 Introduction 120
1.1 Background 120
2 Approach 121
3 Process Methodology 121
4 Experimental Setup 122
5 Results and Discussion 123
6 Conclusions 124
Acknowledgments 125
References 125
Dynamic Definition of Machine Tool Feed Drive Models in Advanced Machine Tools 126
Abstract 126
1 General Aspects of Machine Tool Dynamics 126
2 Estimated and Measurable Behavior of Machine Tool 127
3 Stiffness Modeling 129
3.1 Stiffness Modeling of Feed Drive 129
3.1.1 Method for Calculating the Ball Screw Stiffness 130
3.1.2 Ball Screw Stiffness Given by Catalogues 130
3.1.3 Variable Ballscrew Stiffness 131
3.2 Nut Stiffness 132
3.3 Influence of Bearing Stiffness 135
3.3.1 Relationship Between Axial and Radial Stiffness of Bearings Given by Design Experience 138
3.3.2 Bearing Stiffness Given by Product Catalogs 138
3.3.3 Experimental Determination of Bearing Stiffness 139
3.4 Guideways Stiffness 140
3.4.1 Linear Rolling Guide Model 140
3.4.2 Stiffness Given by Catalogues 141
4 Damping Modeling 142
5 Determination of Dynamic Parameters of Feed Drives 146
5.1 Static Stiffness Measurement 146
5.2 Dynamic Characteristic Identification 147
6 Conclusions 147
References 147
Strategic Outsourcing of SMEs in the Context of Industry 4.0: Evidence from Serbia 150
Abstract 150
1 Introduction 150
2 Theoretical Background 151
2.1 Industry 4.0 151
2.2 Strategic Outsourcing 151
2.3 Research Question 151
3 Data and Methodology 152
4 Results and Discussion 152
5 Conclusion 155
References 155
Fundamental Requirements for CAPP Software Design Focusing on Industry 4.0 Specific Features 157
Abstract 157
1 Introduction 157
2 European and Slovak Industrial Markets Analysis 158
3 Requirements for Process Plans Design Within Industry 4.0 161
4 Conclusion 164
Acknowledgments 165
References 166
Strategic Note for a Digital Innovation Policy 167
Abstract 167
1 The Rise of Industry 4.0 167
2 Policy Aspects vs Middle-Course Tasks 170
3 Building Awareness 171
4 Thematic Cooperation 171
5 Synergies and Complementarities 171
6 People Focus 172
7 Case Studies 172
8 Priorities 172
9 Concluding Remarks 173
Acknowledgments 173
References 173
Machining Process Improvement Through Process Twins 175
Abstract 175
1 Introduction 175
2 Modeling of Machining 176
2.1 Cutting Models Used for Process Twins 176
2.2 Machining Stability and Process Twins 178
3 Machining Cycle Simulation Using the Process Twin 182
3.1 Modeling of Tool Geometry and Tool Motion 182
4 Industrial Applications of Process Twins 183
4.1 Application to Die Machining 183
4.2 Five Axis Milling of Complex Geometries Using the Process Twin 185
4.3 Stability of Thin-Walled Part Machining Through Process Twin 185
4.4 Process-Tool Twins for Broaching 187
5 Conclusions 188
References 189
Connecting Humans to the Loop of Digitized Factories’ Automation Systems 191
Abstract 191
1 Introduction 191
2 Human-Automation Interaction Challenges 193
3 A Reference Framework for Human-Automation Interaction 194
3.1 System Design 196
3.2 System Operation 197
4 Framework Application in Industrial Cases 198
4.1 Design for Human-Centered Lines in the White-Goods Industry 198
4.2 Real-Time Support for Operators in the Furniture Industry 201
5 Conclusion 202
Acknowledgments 203
References 203
Development of Skills and Competences in Manufacturing Towards Education 4.0: A Teaching Factory App ... 205
Abstract 205
1 Introduction 205
2 Manufacturing Transformation to Industry 4.0 206
2.1 Traditional Manufacturing 206
2.2 Industry 4.0 Transition and Requirements for New Skills 207
2.2.1 Key Enabling Technologies for Industry 4.0 207
2.2.2 Introduction of Enabling Technologies to Industry 4.0 Workflow and Required Skills 208
3 Education Transformation to Industry 4.0 211
4 Innovative Teaching Factory Approach 214
5 Conclusions 217
References 218
Opportunistic Maintenance for Wind Turbines Considering External Opportunities – A Case Study 222
Abstract 222
1 Introduction 223
2 Model Summary 224
2.1 Determining {/varvec p}_{{{/varvec OM}}} , {/varvec p}_{{{/varvec CM}}} and {/varvec p}_{{{/varvec PM}}} 225
2.2 Optimization Problem 227
3 Case Study of Wind Turbine 228
3.1 Failure Mechanism 228
3.2 Opportunity Model According to Wind Speed 229
3.3 Downtime Cost Rate 230
4 Results Analysis 233
4.1 Effect of Failure Cost 233
4.2 Effect of Production Loss Cost (Electricity Prices) 234
4.3 Effect of Wind Threshold Defining Opportunity Occurrences 235
5 Conclusion 235
References 236
Cyber-Physical Manufacturing in Context of Industry 4.0 Model 238
Abstract 238
1 Introduction 238
2 Industry 4.0 Program – Facts and Figures 239
3 Industry 4.0 Program – World Wide Approaches 241
4 Industry 4.0 Program in Serbia 246
5 Cyber-Physical Manufacturing 247
6 Conclusions 247
References 248
An Automated Laser Control Technique for Improving Powder Bed Temperature Uniformity in Selective La ... 250
Abstract 250
1 Introduction 250
2 Thermal Model 252
3 Experimental Setup 254
4 Results 255
4.1 Baseline Fixed Power 255
4.2 Feed-Forward Laser Control 257
5 Conclusion 259
References 259
Gaussian Process Regression for Virtual Metrology of Microchip Quality and the Resulting Selective S ... 261
Abstract 261
1 Introduction 261
2 Bayesian Modeling Approach 263
2.1 Conceptual Background 263
2.2 Mathematical Foundation 264
2.2.1 Incorporation of Prior Knowledge 265
2.2.2 Tuning of Parameters 265
2.2.3 Prediction Under Uncertain Embedding 265
2.2.4 Active Learning of Embedding 266
3 Results 267
3.1 Description of Dataset 267
3.2 Description of Underlying Experiment 270
3.3 Learning Curves 271
4 Conclusions and Future Work 273
References 274
Cloud Enabled CPS and Big Data in Manufacturing 276
Abstract 276
1 Introduction 276
2 Literature Review 277
2.1 Cyber-Physical Systems 277
2.2 Machining Optimisation 278
2.3 Scheduling 279
3 Could CPS in Manufacturing 280
4 A Method for Cloud CPS Implementation 282
4.1 Concepts of Holons, Agents and Function Blocks 282
4.2 A Cloud CPS Architecture 282
4.3 Implementation 284
4.4 A Prototype: Wise-ShopFloor 287
5 Big Data Analytics Enhanced Cloud CPS 288
5.1 BDA Advantage in Manufacturing 288
5.2 BDA Enriched Distributed Process Planning (E-DPP) 289
5.2.1 Problem Representation of E-DPP 290
5.2.2 A Simplified Case Study for E-DPP 291
5.3 BDA Enhanced Scheduling 294
5.3.1 BDA for Fault Prediction in Scheduling 294
5.3.2 System Architecture 294
5.3.3 A Simplified Case Study 297
6 Conclusions 298
References 298
Geometric Inspection Planning as a Key Element in Industry 4.0 304
1 What is Inspection Planning? 304
2 Standard Practices in Inspection Planning 307
3 Advanced Methodologies for Sampling Strategy Design 309
3.1 Definition of the Point Distribution 310
3.2 Choice of the Sample Size: Economic Aspects 312
3.3 Path Planning and Probe Configuration 313
4 The Role of Inspection in Industry 4.0 314
4.1 Inspection of Additive Manufacturing Parts 315
5 Conclusions 316
References 316