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

1 - Preface [Seite 6]
1.1 - Conference Founder and Chair [Seite 7]
1.2 - Conference Co-chairs [Seite 7]
1.3 - International Programme Committee [Seite 7]
1.4 - Organizing Committee [Seite 8]
2 - Contents [Seite 10]
3 - Hybrid Machining Processes [Seite 12]
3.1 - Abstract [Seite 12]
3.2 - 1 Introduction [Seite 12]
3.3 - 2 Classification of Hybrid Processes [Seite 13]
3.4 - 3 Assisted Hybrid Machining Processes [Seite 14]
3.4.1 - 3.1 High-Pressure Jet Assisted Machining (HPJAM) [Seite 14]
3.4.2 - 3.2 Cryogenic Machining [Seite 19]
3.4.3 - 3.3 Laser Assisted Machining [Seite 22]
3.4.4 - 3.4 Ultrasonic Assisted Machining [Seite 24]
3.5 - 4 Conclusions [Seite 26]
3.6 - References [Seite 27]
4 - Intelligent Sensing Systems - Status of Research at KaProm [Seite 29]
4.1 - Abstract [Seite 29]
4.2 - 1 Introduction [Seite 29]
4.3 - 2 The Structure of Intelligent Sensing System [Seite 31]
4.4 - 3 Machining Operations Monitoring [Seite 32]
4.5 - 4 2D and 3D Vision Systems [Seite 34]
4.5.1 - 4.1 Identification of Textile Web Lateral Density Profile [Seite 35]
4.5.2 - 4.2 Image-Based Visual Servo Control of Robot Manipulator [Seite 36]
4.5.3 - 4.3 Recognition of Planar Segments from 3D Point Clouds [Seite 38]
4.6 - 5 Contact States Recognition in Assembly Processes [Seite 39]
4.7 - 6 Sensing Systems for Mobile Robots [Seite 41]
4.7.1 - 6.1 Low-Cost Mobile Robot Positioning Based on Infrared Sensors [Seite 41]
4.7.2 - 6.2 Biologically Inspired Algorithms for Learning and Reproduction of Mobile Robot Motion Trajectories [Seite 43]
4.8 - 7 Conclusion [Seite 45]
4.9 - Acknowledgments [Seite 46]
4.10 - References [Seite 46]
5 - Industry 4.0 and Paradigm Change in Economics and Business Management [Seite 48]
5.1 - Abstract [Seite 48]
5.2 - 1 Introduction [Seite 48]
5.3 - 2 Industrial Revolution 4.0: The Impact on an Economy [Seite 49]
5.4 - 3 New Social Normalities in Industry 4.0 [Seite 52]
5.5 - 4 Paradigm Change in Economic Theory and Policy Platform [Seite 56]
5.6 - 5 Serbia's Road of New Industrialization [Seite 60]
5.7 - 6 Industrial Policy and Advanced Manufacturing [Seite 62]
5.8 - 7 Conclusion [Seite 66]
5.9 - References [Seite 66]
6 - Photogrammetry Applied to Small and Micro Scaled Objects: A Review [Seite 68]
6.1 - Abstract [Seite 68]
6.2 - 1 Introduction [Seite 68]
6.3 - 2 Photogrammetric Process Applied to Small Objects [Seite 69]
6.4 - 3 Main Advances Regarding the Photogrammetric Reconstruction of Small Objects [Seite 71]
6.4.1 - 3.1 Camera Calibration [Seite 71]
6.4.2 - 3.2 Image Acquisition [Seite 74]
6.4.2.1 - 3.2.1 Automated Scanners with Moving Sensors (Motorized Systems) [Seite 74]
6.4.2.2 - 3.2.2 Scanning Strategy [Seite 75]
6.4.2.3 - 3.2.3 Illumination [Seite 76]
6.4.3 - 3.3 Image Processing [Seite 77]
6.4.3.1 - 3.3.1 Software Algorithms [Seite 77]
6.4.3.2 - 3.3.2 Scale Adjustment [Seite 79]
6.5 - 4 Measurement Traceability [Seite 81]
6.6 - 5 Future Challenges [Seite 85]
6.7 - 6 Conclusions [Seite 86]
6.8 - References [Seite 86]
7 - Artificial Neural Networks in Advanced Thermoset Matrix Composite Manufacturing [Seite 89]
7.1 - Abstract [Seite 89]
7.2 - 1 Introduction [Seite 89]
7.3 - 2 Materials and Methods [Seite 90]
7.3.1 - 2.1 Modelling [Seite 90]
7.3.2 - 2.2 Artificial Neural Network Model [Seite 92]
7.4 - 3 Results and Discussion [Seite 94]
7.5 - 4 Conclusions [Seite 98]
7.6 - References [Seite 98]
8 - Recent Streams of Digital Manufacturing, Its Emerging Trend and Future Directions for SME in Japan [Seite 100]
8.1 - Abstract [Seite 100]
8.2 - 1 Introduction [Seite 100]
8.3 - 2 Background [Seite 101]
8.4 - 3 Findings [Seite 102]
8.5 - 4 Discussions [Seite 104]
8.6 - References [Seite 108]
9 - Intelligent Integrated Management and Advanced Metrology for Quality Toward the Factory of the Future [Seite 109]
9.1 - Abstract [Seite 109]
9.2 - 1 Introduct?on [Seite 109]
9.3 - 2 Intelligent integrated Management and Metrology for Design and Production [Seite 111]
9.4 - 3 The Model of Precision Manufacturers Based on Intelligent Metrology and Geometrical Product Specif ... [Seite 113]
9.5 - 4 Linking of Intelligent Integrated Management to Design and Advanced Production [Seite 114]
9.6 - 5 Intelligent Metrology and Quality Assurance [Seite 115]
9.7 - 6 Conclusion and Future Work [Seite 118]
9.8 - References [Seite 118]
10 - Hybrid Machining: An Industrial Case-Study Comparing Inconel718 Reaming and Drilling with Abrasive W ... [Seite 120]
10.1 - Abstract [Seite 120]
10.2 - 1 Introduction [Seite 120]
10.2.1 - 1.1 Background [Seite 120]
10.3 - 2 Approach [Seite 121]
10.4 - 3 Process Methodology [Seite 121]
10.5 - 4 Experimental Setup [Seite 122]
10.6 - 5 Results and Discussion [Seite 123]
10.7 - 6 Conclusions [Seite 124]
10.8 - Acknowledgments [Seite 125]
10.9 - References [Seite 125]
11 - Dynamic Definition of Machine Tool Feed Drive Models in Advanced Machine Tools [Seite 126]
11.1 - Abstract [Seite 126]
11.2 - 1 General Aspects of Machine Tool Dynamics [Seite 126]
11.3 - 2 Estimated and Measurable Behavior of Machine Tool [Seite 127]
11.4 - 3 Stiffness Modeling [Seite 129]
11.4.1 - 3.1 Stiffness Modeling of Feed Drive [Seite 129]
11.4.1.1 - 3.1.1 Method for Calculating the Ball Screw Stiffness [Seite 130]
11.4.1.2 - 3.1.2 Ball Screw Stiffness Given by Catalogues [Seite 130]
11.4.1.3 - 3.1.3 Variable Ballscrew Stiffness [Seite 131]
11.4.2 - 3.2 Nut Stiffness [Seite 132]
11.4.3 - 3.3 Influence of Bearing Stiffness [Seite 135]
11.4.3.1 - 3.3.1 Relationship Between Axial and Radial Stiffness of Bearings Given by Design Experience [Seite 138]
11.4.3.2 - 3.3.2 Bearing Stiffness Given by Product Catalogs [Seite 138]
11.4.3.3 - 3.3.3 Experimental Determination of Bearing Stiffness [Seite 139]
11.4.4 - 3.4 Guideways Stiffness [Seite 140]
11.4.4.1 - 3.4.1 Linear Rolling Guide Model [Seite 140]
11.4.4.2 - 3.4.2 Stiffness Given by Catalogues [Seite 141]
11.5 - 4 Damping Modeling [Seite 142]
11.6 - 5 Determination of Dynamic Parameters of Feed Drives [Seite 146]
11.6.1 - 5.1 Static Stiffness Measurement [Seite 146]
11.6.2 - 5.2 Dynamic Characteristic Identification [Seite 147]
11.7 - 6 Conclusions [Seite 147]
11.8 - References [Seite 147]
12 - Strategic Outsourcing of SMEs in the Context of Industry 4.0: Evidence from Serbia [Seite 150]
12.1 - Abstract [Seite 150]
12.2 - 1 Introduction [Seite 150]
12.3 - 2 Theoretical Background [Seite 151]
12.3.1 - 2.1 Industry 4.0 [Seite 151]
12.3.2 - 2.2 Strategic Outsourcing [Seite 151]
12.3.3 - 2.3 Research Question [Seite 151]
12.4 - 3 Data and Methodology [Seite 152]
12.5 - 4 Results and Discussion [Seite 152]
12.6 - 5 Conclusion [Seite 155]
12.7 - References [Seite 155]
13 - Fundamental Requirements for CAPP Software Design Focusing on Industry 4.0 Specific Features [Seite 157]
13.1 - Abstract [Seite 157]
13.2 - 1 Introduction [Seite 157]
13.3 - 2 European and Slovak Industrial Markets Analysis [Seite 158]
13.4 - 3 Requirements for Process Plans Design Within Industry 4.0 [Seite 161]
13.5 - 4 Conclusion [Seite 164]
13.6 - Acknowledgments [Seite 165]
13.7 - References [Seite 166]
14 - Strategic Note for a Digital Innovation Policy [Seite 167]
14.1 - Abstract [Seite 167]
14.2 - 1 The Rise of Industry 4.0 [Seite 167]
14.3 - 2 Policy Aspects vs Middle-Course Tasks [Seite 170]
14.4 - 3 Building Awareness [Seite 171]
14.5 - 4 Thematic Cooperation [Seite 171]
14.6 - 5 Synergies and Complementarities [Seite 171]
14.7 - 6 People Focus [Seite 172]
14.8 - 7 Case Studies [Seite 172]
14.9 - 8 Priorities [Seite 172]
14.10 - 9 Concluding Remarks [Seite 173]
14.11 - Acknowledgments [Seite 173]
14.12 - References [Seite 173]
15 - Machining Process Improvement Through Process Twins [Seite 175]
15.1 - Abstract [Seite 175]
15.2 - 1 Introduction [Seite 175]
15.3 - 2 Modeling of Machining [Seite 176]
15.3.1 - 2.1 Cutting Models Used for Process Twins [Seite 176]
15.3.2 - 2.2 Machining Stability and Process Twins [Seite 178]
15.4 - 3 Machining Cycle Simulation Using the Process Twin [Seite 182]
15.4.1 - 3.1 Modeling of Tool Geometry and Tool Motion [Seite 182]
15.5 - 4 Industrial Applications of Process Twins [Seite 183]
15.5.1 - 4.1 Application to Die Machining [Seite 183]
15.5.2 - 4.2 Five Axis Milling of Complex Geometries Using the Process Twin [Seite 185]
15.5.3 - 4.3 Stability of Thin-Walled Part Machining Through Process Twin [Seite 185]
15.5.4 - 4.4 Process-Tool Twins for Broaching [Seite 187]
15.6 - 5 Conclusions [Seite 188]
15.7 - References [Seite 189]
16 - Connecting Humans to the Loop of Digitized Factories' Automation Systems [Seite 191]
16.1 - Abstract [Seite 191]
16.2 - 1 Introduction [Seite 191]
16.3 - 2 Human-Automation Interaction Challenges [Seite 193]
16.4 - 3 A Reference Framework for Human-Automation Interaction [Seite 194]
16.4.1 - 3.1 System Design [Seite 196]
16.4.2 - 3.2 System Operation [Seite 197]
16.5 - 4 Framework Application in Industrial Cases [Seite 198]
16.5.1 - 4.1 Design for Human-Centered Lines in the White-Goods Industry [Seite 198]
16.5.2 - 4.2 Real-Time Support for Operators in the Furniture Industry [Seite 201]
16.6 - 5 Conclusion [Seite 202]
16.7 - Acknowledgments [Seite 203]
16.8 - References [Seite 203]
17 - Development of Skills and Competences in Manufacturing Towards Education 4.0: A Teaching Factory App ... [Seite 205]
17.1 - Abstract [Seite 205]
17.2 - 1 Introduction [Seite 205]
17.3 - 2 Manufacturing Transformation to Industry 4.0 [Seite 206]
17.3.1 - 2.1 Traditional Manufacturing [Seite 206]
17.3.2 - 2.2 Industry 4.0 Transition and Requirements for New Skills [Seite 207]
17.3.2.1 - 2.2.1 Key Enabling Technologies for Industry 4.0 [Seite 207]
17.3.2.2 - 2.2.2 Introduction of Enabling Technologies to Industry 4.0 Workflow and Required Skills [Seite 208]
17.4 - 3 Education Transformation to Industry 4.0 [Seite 211]
17.5 - 4 Innovative Teaching Factory Approach [Seite 214]
17.6 - 5 Conclusions [Seite 217]
17.7 - References [Seite 218]
18 - Opportunistic Maintenance for Wind Turbines Considering External Opportunities - A Case Study [Seite 222]
18.1 - Abstract [Seite 222]
18.2 - 1 Introduction [Seite 223]
18.3 - 2 Model Summary [Seite 224]
18.3.1 - 2.1 Determining {\varvec p}_{{{\varvec OM}}} , {\varvec p}_{{{\varvec CM}}} and {\varvec p}_{{{\varvec PM}}} [Seite 225]
18.3.2 - 2.2 Optimization Problem [Seite 227]
18.4 - 3 Case Study of Wind Turbine [Seite 228]
18.4.1 - 3.1 Failure Mechanism [Seite 228]
18.4.2 - 3.2 Opportunity Model According to Wind Speed [Seite 229]
18.4.3 - 3.3 Downtime Cost Rate [Seite 230]
18.5 - 4 Results Analysis [Seite 233]
18.5.1 - 4.1 Effect of Failure Cost [Seite 233]
18.5.2 - 4.2 Effect of Production Loss Cost (Electricity Prices) [Seite 234]
18.5.3 - 4.3 Effect of Wind Threshold Defining Opportunity Occurrences [Seite 235]
18.6 - 5 Conclusion [Seite 235]
18.7 - References [Seite 236]
19 - Cyber-Physical Manufacturing in Context of Industry 4.0 Model [Seite 238]
19.1 - Abstract [Seite 238]
19.2 - 1 Introduction [Seite 238]
19.3 - 2 Industry 4.0 Program - Facts and Figures [Seite 239]
19.4 - 3 Industry 4.0 Program - World Wide Approaches [Seite 241]
19.5 - 4 Industry 4.0 Program in Serbia [Seite 246]
19.6 - 5 Cyber-Physical Manufacturing [Seite 247]
19.7 - 6 Conclusions [Seite 247]
19.8 - References [Seite 248]
20 - An Automated Laser Control Technique for Improving Powder Bed Temperature Uniformity in Selective La ... [Seite 250]
20.1 - Abstract [Seite 250]
20.2 - 1 Introduction [Seite 250]
20.3 - 2 Thermal Model [Seite 252]
20.4 - 3 Experimental Setup [Seite 254]
20.5 - 4 Results [Seite 255]
20.5.1 - 4.1 Baseline Fixed Power [Seite 255]
20.5.2 - 4.2 Feed-Forward Laser Control [Seite 257]
20.6 - 5 Conclusion [Seite 259]
20.7 - References [Seite 259]
21 - Gaussian Process Regression for Virtual Metrology of Microchip Quality and the Resulting Selective S ... [Seite 261]
21.1 - Abstract [Seite 261]
21.2 - 1 Introduction [Seite 261]
21.3 - 2 Bayesian Modeling Approach [Seite 263]
21.3.1 - 2.1 Conceptual Background [Seite 263]
21.3.2 - 2.2 Mathematical Foundation [Seite 264]
21.3.2.1 - 2.2.1 Incorporation of Prior Knowledge [Seite 265]
21.3.2.2 - 2.2.2 Tuning of Parameters [Seite 265]
21.3.2.3 - 2.2.3 Prediction Under Uncertain Embedding [Seite 265]
21.3.2.4 - 2.2.4 Active Learning of Embedding [Seite 266]
21.4 - 3 Results [Seite 267]
21.4.1 - 3.1 Description of Dataset [Seite 267]
21.4.2 - 3.2 Description of Underlying Experiment [Seite 270]
21.4.3 - 3.3 Learning Curves [Seite 271]
21.5 - 4 Conclusions and Future Work [Seite 273]
21.6 - References [Seite 274]
22 - Cloud Enabled CPS and Big Data in Manufacturing [Seite 276]
22.1 - Abstract [Seite 276]
22.2 - 1 Introduction [Seite 276]
22.3 - 2 Literature Review [Seite 277]
22.3.1 - 2.1 Cyber-Physical Systems [Seite 277]
22.3.2 - 2.2 Machining Optimisation [Seite 278]
22.3.3 - 2.3 Scheduling [Seite 279]
22.4 - 3 Could CPS in Manufacturing [Seite 280]
22.5 - 4 A Method for Cloud CPS Implementation [Seite 282]
22.5.1 - 4.1 Concepts of Holons, Agents and Function Blocks [Seite 282]
22.5.2 - 4.2 A Cloud CPS Architecture [Seite 282]
22.5.3 - 4.3 Implementation [Seite 284]
22.5.4 - 4.4 A Prototype: Wise-ShopFloor [Seite 287]
22.6 - 5 Big Data Analytics Enhanced Cloud CPS [Seite 288]
22.6.1 - 5.1 BDA Advantage in Manufacturing [Seite 288]
22.6.2 - 5.2 BDA Enriched Distributed Process Planning (E-DPP) [Seite 289]
22.6.2.1 - 5.2.1 Problem Representation of E-DPP [Seite 290]
22.6.2.2 - 5.2.2 A Simplified Case Study for E-DPP [Seite 291]
22.6.3 - 5.3 BDA Enhanced Scheduling [Seite 294]
22.6.3.1 - 5.3.1 BDA for Fault Prediction in Scheduling [Seite 294]
22.6.3.2 - 5.3.2 System Architecture [Seite 294]
22.6.3.3 - 5.3.3 A Simplified Case Study [Seite 297]
22.7 - 6 Conclusions [Seite 298]
22.8 - References [Seite 298]
23 - Geometric Inspection Planning as a Key Element in Industry 4.0 [Seite 304]
23.1 - 1 What is Inspection Planning? [Seite 304]
23.2 - 2 Standard Practices in Inspection Planning [Seite 307]
23.3 - 3 Advanced Methodologies for Sampling Strategy Design [Seite 309]
23.3.1 - 3.1 Definition of the Point Distribution [Seite 310]
23.3.2 - 3.2 Choice of the Sample Size: Economic Aspects [Seite 312]
23.3.3 - 3.3 Path Planning and Probe Configuration [Seite 313]
23.4 - 4 The Role of Inspection in Industry 4.0 [Seite 314]
23.4.1 - 4.1 Inspection of Additive Manufacturing Parts [Seite 315]
23.5 - 5 Conclusions [Seite 316]
23.6 - References [Seite 316]