|
Editorial |
6 |
|
|
Contents |
8 |
|
|
Part A New Approaches for Efficient Production and Assembly Planning |
14 |
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Agile Hybrid Assembly Systems: Bridging the Gap Between Line and Matrix Configurations |
15 |
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1 Introduction |
16 |
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2 Theoretical Background |
16 |
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|
3 A Framework for Agile Hybrid Assembly Systems |
17 |
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4 Use Case Development |
20 |
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|
5 Conclusion |
21 |
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|
References |
22 |
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|
Economic Feasibility of Highly Adaptable Production Systems |
24 |
|
|
1 Introduction and Motivation |
24 |
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2 State of the Art |
24 |
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3 Approach |
25 |
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4 Example of Application |
27 |
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5 Discussion and Evaluation |
29 |
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|
6 Summary and Outlook |
30 |
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|
References |
30 |
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|
Reconfiguration of Production Equipment of Matrix Manufacturing Systems |
32 |
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|
1 Introduction and Motivation |
32 |
|
|
2 Changeability of Matrix Manufacturing Systems |
33 |
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|
3 Continuous Adaption of Production Entities |
35 |
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|
4 Approach to Reconfigure MMS |
36 |
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|
5 Conclusion and Outlook |
37 |
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|
References |
38 |
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|
A User-friendly Planning Tool for Assembly Sequence Optimization |
40 |
|
|
1 Introduction and Fundamentals |
40 |
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|
1.1 Graph-based Design Languages |
40 |
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|
1.2 Representation of Assembly Systems |
41 |
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|
1.3 Petri Nets |
41 |
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2 Implementation |
43 |
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2.1 Graphical User Interface |
43 |
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2.2 Graph-based Design Language for Assembly Planning |
44 |
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2.3 Workflow |
45 |
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3 Application Example |
46 |
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4 Summary and Discussion |
47 |
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|
References |
48 |
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|
Fluid Manufacturing Systems (FLMS) |
49 |
|
|
1 Introduction and Motivation |
49 |
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|
2 State of the Art |
50 |
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3 Definition of Fluid Manufacturing Systems (FLMS) |
52 |
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|
4 Conclusion |
55 |
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|
References |
56 |
|
|
Automated Environmental Impact Assessment (EIA) via Asset Administration Shell |
57 |
|
|
1 Introduction |
57 |
|
|
2 State of the Art |
58 |
|
|
2.1 Environmental Impact Assessment (EIA) Within Enterprises |
58 |
|
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2.2 Usage of AAS |
59 |
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|
2.3 AAS in the Context of EIA |
59 |
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3 Implementation of the AAS for EIA |
60 |
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4 Result |
60 |
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5 Discussion |
61 |
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|
6 Summary and Outlook |
62 |
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|
References |
63 |
|
|
Business Model Innovation in Manufacturing Equipment Companies |
65 |
|
|
1 Introduction |
65 |
|
|
2 Approaches to Business Model Innovation |
66 |
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|
2.1 Need for Business Model Innovation |
66 |
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|
2.2 Screening of Business Model Patterns |
67 |
|
|
2.3 Requirements of Reconfigurable Production Systems |
68 |
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|
2.4 Problem-Solution Fit |
70 |
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3 Feedback Within ARENA2036 and Final Discussion |
71 |
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4 Summary |
72 |
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|
References |
72 |
|
|
Identification of Reconfiguration Demand and Generation of Alternative Configurations for Cyber-Physical Production Systems |
75 |
|
|
1 Introduction |
75 |
|
|
1.1 Requirements for the Self-organized Reconfiguration Management |
76 |
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|
1.2 Basic Concept and Focus of this Contribution |
77 |
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2 Related Work |
77 |
|
|
3 Identification of Reconfiguration Demand and Generation of Alternative Configurations |
78 |
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|
3.1 Identification of Reconfiguration Demand |
78 |
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|
3.2 Generation of Alternative Configurations |
79 |
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4 Proof of Concept |
80 |
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|
5 Conclusion and Future Work |
81 |
|
|
References |
81 |
|
|
Method for Data-Driven Assembly Sequence Planning |
83 |
|
|
1 Introduction |
83 |
|
|
2 Approaches in the Field of Automatic Assembly Planning |
84 |
|
|
3 Method to Generate Optimized Assembly Sequences from Actual Data |
85 |
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|
3.1 Context |
85 |
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3.2 Data Analysis |
85 |
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3.3 Example |
88 |
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|
4 Conclusion and Outlook |
89 |
|
|
References |
91 |
|
|
Evaluation of Material Supply Strategies in Matrix Manufacturing Systems |
92 |
|
|
1 Introduction |
92 |
|
|
2 State of the Art |
93 |
|
|
2.1 Material Supply |
93 |
|
|
2.2 Matrix Manufacturing System |
93 |
|
|
3 Material Supply in the Context of MMS |
95 |
|
|
3.1 Challenges to Material Supply |
95 |
|
|
3.2 Methodology of Evaluating the Suitability |
95 |
|
|
3.3 Evaluations |
96 |
|
|
4 Findings |
98 |
|
|
5 Conclusions & Outlook |
99 |
|
|
References |
99 |
|
|
Smart Factory and the Unique Digital Order Twin |
101 |
|
|
1 The Idea of a Digital Order Twin |
101 |
|
|
2 Repository – Main Databases for the Digital Order Twin |
103 |
|
|
2.1 Production and Material Flow Structure of a Smart Factory |
103 |
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|
2.2 Product Structure and Bill-Of-Material in a Smart Factory |
103 |
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|
2.3 Unique BoM and Semantic Product Memory of Final Products |
104 |
|
|
3 Regulation and Ordering of Final Product and Components |
105 |
|
|
3.1 The Role of ‘Order-Entry Point’ in a Smart Factory |
105 |
|
|
4 Conclusion and Short Outlook |
106 |
|
|
References |
107 |
|
|
Developing Technology Strategies for Flexible Automotive Products and Processes |
109 |
|
|
1 Introduction |
109 |
|
|
2 Theoretical Background |
110 |
|
|
3 Approach and Methodology |
111 |
|
|
3.1 Assessing Latent User Needs of Future Product Functions |
113 |
|
|
3.2 Estimating Technology Dynamics |
113 |
|
|
4 Application and Results |
114 |
|
|
5 Discussion and Conclusion |
116 |
|
|
References |
117 |
|
|
Structured Information Processing as Enabler of Versatile, Flexible Manufacturing Concepts |
120 |
|
|
1 Introduction |
120 |
|
|
2 State of the Art and Related Work |
121 |
|
|
2.1 Efforts Towards Implementing Alternative Manufacturing Concepts for Modern Production Systems in the Automotive Industry |
121 |
|
|
2.2 Distributed Information Processing as Requirement for Implementing Modular Production Systems |
122 |
|
|
3 Concept for Information Processing in Alternative Versatile Manufacturing Systems Implementation |
122 |
|
|
3.1 Requirements for Information Processing in Modular Production Systems |
123 |
|
|
3.2 Structuring of the Information Flow of Entities |
124 |
|
|
4 Discussion and Conclusion |
126 |
|
|
References |
127 |
|
|
A Novel Approach to Generate Assembly Instructions Automatically from CAD Models |
129 |
|
|
1 Introduction |
129 |
|
|
2 State of the Art in the Generation of Assembly Instructions |
130 |
|
|
3 Interface to CAD Model |
131 |
|
|
4 Assembly Sequence Generation |
132 |
|
|
5 Generation of Assembly Instructions |
133 |
|
|
6 Validation |
134 |
|
|
7 Conclusion |
136 |
|
|
References |
136 |
|
|
Selective Assembly Strategy for Quality Optimization in a Laser Welding Process |
138 |
|
|
1 Introduction and Problem Setting |
138 |
|
|
1.1 State of the Art of SA and Deficits of Current Approaches |
139 |
|
|
1.2 Objectives and Scope of this Paper |
141 |
|
|
1.3 Description of the Use Case and Problem Setting |
141 |
|
|
2 Experimental Realization of the Selective Assembly |
142 |
|
|
2.1 Mathematical Statement of the Optimization Problem |
142 |
|
|
2.2 Optimization Settings and Parameter Study |
143 |
|
|
2.3 Results |
144 |
|
|
3 Conclusion and Outlook |
144 |
|
|
References |
145 |
|
|
FlexPress – An Implementation of Energy Flexibility at Shop-Floor Level for Compressed Air Applications |
147 |
|
|
1 Introduction |
147 |
|
|
2 Related Work |
148 |
|
|
3 Case Study |
149 |
|
|
3.1 Use Case |
149 |
|
|
3.2 Proposed Method for Flexibility Modeling |
150 |
|
|
3.3 Flexibility Model for Compressed Air |
151 |
|
|
4 Results and Discussion |
152 |
|
|
5 Conclusion |
153 |
|
|
References |
153 |
|
|
Part B Smart Production Systems and Data Services |
154 |
|
|
A Framework for Digital Twin Deployment in Production Systems |
155 |
|
|
1 Introduction |
155 |
|
|
1.1 Production Systems |
156 |
|
|
1.2 Related Work |
157 |
|
|
1.3 Contribution |
157 |
|
|
2 Digital Shadow |
157 |
|
|
3 Digital Twin |
159 |
|
|
4 Integration in Automation Process |
161 |
|
|
4.1 Feedback to Physical World |
161 |
|
|
4.2 Integration with MES/ERP |
161 |
|
|
5 Conclusion |
162 |
|
|
References |
162 |
|
|
Assets2036 – Lightweight Implementation of the Asset Administration Shell Concept for Practical Use and Easy Adaptation |
163 |
|
|
1 Motivation |
163 |
|
|
2 Introduction and State of the Art |
164 |
|
|
3 Use Case and Derived Requirements |
165 |
|
|
4 Concept and Implementation of Assets2036 |
165 |
|
|
4.1 Concept |
165 |
|
|
4.2 Submodel Description Format |
167 |
|
|
4.3 Implementation of Communication Using MQTT and JSON |
167 |
|
|
4.4 Example |
168 |
|
|
5 Conclusions |
169 |
|
|
References |
170 |
|
|
AutomationML in Industry 4.0 Environment: A Systematic Literature Review |
172 |
|
|
1 Introduction |
172 |
|
|
2 AutomationML Overview |
173 |
|
|
3 Methodology and Discussion |
174 |
|
|
4 Conclusion and Outlook |
177 |
|
|
References |
177 |
|
|
Generic and Scalable Modeling Technique for Automated Processes |
180 |
|
|
1 Introduction |
180 |
|
|
2 Theoretical Basis |
181 |
|
|
2.1 Petri Nets |
181 |
|
|
2.2 Refinement Action Engine |
181 |
|
|
2.3 Utlized Control Hardware in Production Systems |
181 |
|
|
3 Approaches utilized by Research and Industry |
182 |
|
|
3.1 Modelling Techniques in Industry |
182 |
|
|
3.2 Approaches in Research |
182 |
|
|
4 Research Needs |
182 |
|
|
5 Methodology |
183 |
|
|
6 Application of the Methodology |
184 |
|
|
6.1 Description of the use Case |
184 |
|
|
6.2 Modelling the System |
185 |
|
|
6.3 Operation of the Assembly System |
186 |
|
|
7 Conclusion and Outlook |
186 |
|
|
References |
187 |
|
|
On Automation Along the Automotive Wire Harness Value Chain |
188 |
|
|
1 Introduction |
188 |
|
|
1.1 Current Wire Harness Design |
188 |
|
|
2 Wire Harness Design Automation |
189 |
|
|
2.1 Automation Approach |
189 |
|
|
2.2 Use Case |
190 |
|
|
2.3 Data |
190 |
|
|
2.4 Process |
191 |
|
|
2.5 Assembly Simulation |
194 |
|
|
2.6 Reduction of Design Time and Design Cost |
194 |
|
|
3 Summary and Outlook |
194 |
|
|
References |
195 |
|
|
An ISA-95 based Middle Data Layer for Data Standardization—Enhancing Systems Interoperability for Factory Automation |
197 |
|
|
1 Introduction |
197 |
|
|
2 Motivation and Problem Statement |
199 |
|
|
3 Approach |
200 |
|
|
3.1 Main idea |
200 |
|
|
3.2 Data Architecture Design |
201 |
|
|
4 Case Study |
202 |
|
|
4.1 Data Model Analysis |
202 |
|
|
4.2 Data Model Mapping |
202 |
|
|
5 Conclusions |
203 |
|
|
References |
204 |
|
|
Deep Reinforcement Learning for IoT Interoperability |
205 |
|
|
1 Introduction |
205 |
|
|
2 Background |
206 |
|
|
2.1 Related Work and own contribution |
207 |
|
|
3 Experimental Setup |
207 |
|
|
4 DRL Policy and Learning Algorithm |
208 |
|
|
5 Results |
210 |
|
|
6 Conclusion and Outlook |
212 |
|
|
References |
212 |
|
|
Wireless Industrial Networks for Real-Time Applications |
215 |
|
|
1 Introduction and Motivation |
215 |
|
|
2 Wireless Transmission Systems |
216 |
|
|
3 Ultra-reliable Wireless Industrial Network |
217 |
|
|
3.1 Physical Layer |
219 |
|
|
3.2 Media Access and Coexistence Management |
219 |
|
|
4 UWIN Implementation and Prototypes |
220 |
|
|
5 Summary and Outlook |
221 |
|
|
6 Acknowledgements |
222 |
|
|
References |
222 |
|
|
A Novel ‘Automated Hardware Upgrade Service’ for Manufacturing Systems |
223 |
|
|
1 Introduction |
223 |
|
|
2 Current State of Research |
224 |
|
|
3 Automated Hardware Upgrade Service |
226 |
|
|
4 Case Study |
227 |
|
|
5 Conclusion and Outlook |
228 |
|
|
References |
229 |
|
|
Deep Learning-Enabled Real Time In-Site Quality Inspection Based On Gesture Classification |
231 |
|
|
1 Introduction |
231 |
|
|
2 Related Work |
232 |
|
|
3 Overall Framework |
233 |
|
|
3.1 BIOX Bracelet Implementation |
233 |
|
|
4 Data Pre-processing |
234 |
|
|
5 Deep Learning Model for Classification |
236 |
|
|
6 Results |
236 |
|
|
7 Conclusion |
238 |
|
|
References |
238 |
|
|
Detection and Monitoring for Anomalies and Degradation of a Robotic Arm Using Machine Learning |
240 |
|
|
1 Introduction |
240 |
|
|
2 Data Description |
242 |
|
|
3 Methodology |
242 |
|
|
4 Results |
244 |
|
|
5 Conclusion |
246 |
|
|
References |
247 |
|
|
Using Deep Neural Networks to Separate Entangled Workpieces in Random Bin Picking |
248 |
|
|
1 Introduction |
248 |
|
|
2 State of the Art |
249 |
|
|
3 Proposed Separation Methods |
249 |
|
|
3.1 Method to Validate the Effort of Separation in Simulation |
249 |
|
|
3.2 Three Proposed Separation Strategies |
251 |
|
|
4 Training of a Serial Connection of CNNs |
252 |
|
|
5 Results |
253 |
|
|
5.1 Selection of Proposed Separation Strategy |
253 |
|
|
5.2 Validation of Predicted Path Points with Strategy A |
253 |
|
|
6 Integration in Bin Picking Application |
254 |
|
|
7 Conclusion and Outlook |
255 |
|
|
References |
256 |
|
|
Automatic Grasp Generation for Vacuum Grippers for Random Bin Picking |
257 |
|
|
1 Introduction |
257 |
|
|
2 Related Work |
258 |
|
|
3 Probability Matrix of a Successful Grasp |
258 |
|
|
3.1 Projection of Workpiece and Gripper |
258 |
|
|
3.2 Overlap Between Workpiece and Gripper |
259 |
|
|
3.3 Calculation of Center of Gravity Heatmap |
260 |
|
|
3.4 Calculation of Surface Smoothness |
261 |
|
|
3.5 Weighted Combination and Normalization of Matrices |
261 |
|
|
4 Grasps Generation and Gripper Selection |
262 |
|
|
4.1 Gripper Selection |
262 |
|
|
4.2 Generation and Prioritization of Grasps |
262 |
|
|
5 Experiments and Results |
262 |
|
|
5.1 Hardware Testing Setup |
262 |
|
|
5.2 Evaluation of Grasp Reliability and Gripper Selection |
263 |
|
|
6 Conclusion |
264 |
|
|
References |
264 |
|
|
Flat Knitted Sensory Work Glove for Process Monitoring and Quality Assurance |
266 |
|
|
1 Introduction |
266 |
|
|
2 Materials and Methods |
268 |
|
|
2.1 Sensor Construction |
268 |
|
|
2.2 Sensor Characterization |
270 |
|
|
3 Conclusion |
272 |
|
|
4 Acknowledgement |
273 |
|
|
References |
273 |
|
|
Predictable and Real-Time Message-Based Communication in the Context of Control Technology |
274 |
|
|
1 Introduction |
274 |
|
|
2 Related Works |
275 |
|
|
3 Concept to fulfill real-time requirements |
275 |
|
|
4 Validation |
278 |
|
|
5 Conclusion |
280 |
|
|
References |
281 |
|
|
Part C Advances in Manufacturing Processes and Materials |
282 |
|
|
A New Adjustable Hemming Die for Automotive Body Construction: Simulation, Design and Experiments |
283 |
|
|
1 Introduction |
283 |
|
|
2 FE-Based Optimization of Hang-On Parts by Modification of the Active Surface of a Virtual Hemming Die |
284 |
|
|
3 Construction of an Adjustable Hemming Die |
288 |
|
|
4 Validation of an Adjustable Hemming Die Prototype for the Manufacturing of an Engine Bonnet |
290 |
|
|
5 Summary and Conclusion |
292 |
|
|
References |
293 |
|
|
Production of Thin Outer Skin Car Body Panels by Using Novel Short Cycle Stretch-Forming (SCS) Technology |
294 |
|
|
1 Introduction and State of the Art |
294 |
|
|
2 Short Cycle Stretch-Forming (SCS) |
295 |
|
|
2.1 Basic Function of SCS-Technology |
295 |
|
|
2.2 Experimental Research and Validation of Simulation |
295 |
|
|
2.3 Close-To-Production Tool Concept and Improved Sheet Metal Part Properties |
297 |
|
|
2.4 Energy Saving Potential of the SCS-Process |
299 |
|
|
3 Conclusions |
299 |
|
|
References |
300 |
|
|
Automated Generation of Clamping Concepts and Assembly Cells for Car Body Parts for the Digitalization of Automobile Production |
301 |
|
|
1 Introduction |
301 |
|
|
2 State of the Art |
302 |
|
|
2.1 Graph-Based Design Languages |
302 |
|
|
2.2 Product Development Process and Geometric Modeling |
303 |
|
|
3 Methodology |
303 |
|
|
4 Results and Discussion |
305 |
|
|
4.1 Central Data Model |
305 |
|
|
4.2 Design Variants |
305 |
|
|
4.3 Automated Wiring |
306 |
|
|
5 Summary and Outlook |
306 |
|
|
References |
308 |
|
|
A self-programming painting cell SelfPaint: Simulation-based path generation with automized quality control for painting in small lot sizes |
310 |
|
|
1 Introduction |
311 |
|
|
2 Input Database |
312 |
|
|
3 Module 1: 3D-Scanning |
313 |
|
|
4 Modules 2 and 3: Path Generation and Painting |
314 |
|
|
5 Module 4: Contactless Quality Control of Paint Film Thickness |
316 |
|
|
6 Conclusion |
317 |
|
|
References |
318 |
|
|
Less Chemicals and More Power: Pulsed Electric Field-Treatment for Reduction of Microorganisms |
319 |
|
|
1 Introduction |
320 |
|
|
1.1 The DiWaL Project of BMBF |
321 |
|
|
2 Pulsed Electric Field-Treatment |
321 |
|
|
2.1 Technical PEF-Concepts and New Developments |
322 |
|
|
2.2 Results and Evaluation |
322 |
|
|
2.3 Integrated Sustainability Assessment of PEF-Treatment |
323 |
|
|
3 Conclusion and Outlook |
324 |
|
|
References |
325 |
|
|
Safety in Electromobility – Technical Cleanliness Between the Poles of Design Requirements and Efficient Production |
327 |
|
|
1 Introduction |
327 |
|
|
2 Status Quo |
328 |
|
|
3 Current Approaches: Product Design |
329 |
|
|
4 Current Approaches: Production |
330 |
|
|
5 New Approach: Fault Injection Test procedure |
331 |
|
|
6 Conclusions |
334 |
|
|
References |
334 |
|
|
Highly Integrative Rear End Concept of Battery Electric Vehicles |
335 |
|
|
1 Introduction |
335 |
|
|
2 State of the Art |
336 |
|
|
2.1 Battery Design |
336 |
|
|
2.2 Multi-material-Design |
336 |
|
|
3 Design |
337 |
|
|
4 Design and Manufacturing Process |
339 |
|
|
4.1 Highly Integral Part Design |
339 |
|
|
4.2 Manufacturing Process |
340 |
|
|
5 Evaluation of the Highly Integrative Rear End Concept |
341 |
|
|
6 Conclusion and Outlook |
341 |
|
|
References |
342 |
|
|
Modelling Defects of Unhardened Adhesives Resulting from Handling and Warpage |
343 |
|
|
1 Introduction & State of the Art |
343 |
|
|
2 Physical Parameters Affecting the Instabilities |
345 |
|
|
3 Virtual Prognosis of Instabilities in Uncured Adhesives |
346 |
|
|
3.1 Choosing the Modelling Strategy |
346 |
|
|
3.2 Selection of Suitable Material Models |
346 |
|
|
3.3 Simulation Setup and a Study of Convergence and Aspect-Ratio |
347 |
|
|
4 Loaded Uncured Adhesive Bondlines in Automobiles |
349 |
|
|
5 Conclusions and Outlook |
349 |
|
|
References |
350 |
|
|
Experimental Study on Depth of Cure During UV-Post-Curing of Photopolymers Used for Additive Manufacturing |
351 |
|
|
1 Introduction |
351 |
|
|
2 Experimental |
352 |
|
|
2.1 Design of Experiment |
352 |
|
|
2.2 Materials |
353 |
|
|
2.3 Test Specimen Production and Post-Curing |
353 |
|
|
2.4 Hardness Testing |
354 |
|
|
2.5 Transmission Measurements |
354 |
|
|
3 Results and Discussion |
354 |
|
|
3.1 Determination of the Depth of Cure |
354 |
|
|
3.2 Results DoE |
356 |
|
|
3.3 Results Transmission Measurements |
357 |
|
|
4 Conclusion |
357 |
|
|
References |
358 |
|
|
Simulation Supported Manufacturing of Profiled Composite Parts Using the Braiding Technique |
359 |
|
|
1 Introduction |
359 |
|
|
2 Experimental Characterization |
361 |
|
|
2.1 Investigation on Flat Specimens |
361 |
|
|
2.2 Manufacturing and Investigation of a Generic Structure |
362 |
|
|
3 Predictive Simulations Within a Closed Process Chain |
363 |
|
|
3.1 Digital Twin |
363 |
|
|
3.2 Prediction of Material Properties with a Mesoscopic Approach |
364 |
|
|
3.3 Virtual Process Window |
365 |
|
|
4 Conclusion and Outlook |
367 |
|
|
References |
367 |
|
|
A New Concept for Producing High Strength Aluminum Line-Joints in Car Body Assembly by a Robot Guided Friction Stir Welding Gun |
369 |
|
|
1 Introduction |
370 |
|
|
2 Literature Review |
371 |
|
|
3 Solution Approach |
372 |
|
|
4 Experimental Studies |
373 |
|
|
5 Results and Discussion |
375 |
|
|
6 Conclusion and Outlook |
375 |
|
|
References |
376 |
|
|
Multi-robotic Composite Production of Complex and Large-Scaled Components for the Automotive Industry |
377 |
|
|
1 Introduction |
377 |
|
|
2 Advanced Ply Placement |
378 |
|
|
3 Analytical Layup Comparison |
380 |
|
|
4 Cost-Benefit Analysis |
381 |
|
|
5 Results and Summary |
383 |
|
|
References |
384 |
|
|
Integrated Machining, Quality Inspection and Sealing for CFRP Components |
385 |
|
|
1 Introduction |
385 |
|
|
2 Fiber Dust Protection and Collection |
386 |
|
|
3 Process Steps |
387 |
|
|
3.1 Machining |
387 |
|
|
3.2 Brushing and Cleaning |
388 |
|
|
3.3 Inspection |
389 |
|
|
3.4 Sealing and Curing |
390 |
|
|
4 Summary and Conclusions |
391 |
|
|
References |
392 |
|
|
A Universal Machine: Enabling Digital Manufacturing with Laser Technology |
394 |
|
|
1 Introduction |
394 |
|
|
2 Laser Materials Processing |
395 |
|
|
2.1 Current State of Technology in Industrial Manufacturing |
397 |
|
|
3 Current Need for Further Research and Development |
398 |
|
|
4 Conclusions and Outlook |
400 |
|
|
References |
400 |
|
|
Advancing from Additive Manufacturing to Large-Scale Production of Face Shields During the COVID-19 Pandemic |
402 |
|
|
1 Introduction |
402 |
|
|
2 Manufacturing and Design Approach |
403 |
|
|
3 Materials |
404 |
|
|
4 Manufacturing Technologies and Designs |
405 |
|
|
4.1 Fused Filament Fabrication (FFF) |
405 |
|
|
4.2 Screw Extrusion Additive Manufacturing (SEAM) |
406 |
|
|
4.3 Laser Cutting (LC) |
407 |
|
|
4.4 Injection Moulding (IM) |
407 |
|
|
4.5 Folding (FO) |
408 |
|
|
5 International Distribution of Face Shields |
409 |
|
|
6 Conclusions |
410 |
|
|
References |
411 |
|
|
Part D New Concepts for Autonomous, Collaborative Intralogistics |
413 |
|
|
Towards an Artificial Perception Framework for Autonomous Robots in Logistics |
414 |
|
|
1 Introduction |
414 |
|
|
2 Motivation |
415 |
|
|
2.1 Robotics in Logistics |
415 |
|
|
2.2 Towards Intelligent Machines |
416 |
|
|
3 Related Work |
417 |
|
|
3.1 Perception for Autonomous Driving |
417 |
|
|
3.2 Perception for Service Robotics |
417 |
|
|
3.3 Perception for Industrial and Logistics Robotics |
417 |
|
|
4 Problem Formulation and Objective |
418 |
|
|
5 Artificial Perception Framework for Autonomous Robots in Logistics |
418 |
|
|
6 Conclusion and Future Work |
420 |
|
|
References |
420 |
|
|
Concept of a Safety-Related Sensor System for Collaboration Between Human and Automated Guided Vehicles |
423 |
|
|
1 Introduction |
423 |
|
|
1.1 Change in Automotive Production |
423 |
|
|
1.2 Normative Requirements |
424 |
|
|
1.3 Approaches to the Further Development of the Standards |
425 |
|
|
1.4 Approaches for the Detection of People |
426 |
|
|
2 Concept of the Safety-Related Sensor System |
426 |
|
|
2.1 Architecture and Sensor Types |
427 |
|
|
2.2 Experimental Setup |
427 |
|
|
3 Conclusion and Outlook |
429 |
|
|
References |
429 |
|
|
Novel Autonomous Guided Vehicle System for the Use in Logistics Applications |
431 |
|
|
1 Introduction |
431 |
|
|
2 Mode of Operation |
434 |
|
|
3 Logistics Application |
435 |
|
|
4 Conclusion |
437 |
|
|
References |
438 |
|
|
Increased Agility by Using Autonomous AGVs in Reconfigurable Factories |
440 |
|
|
1 Introduction |
440 |
|
|
2 Introduction of the Research Field and its Elements |
441 |
|
|
2.1 Automated Guided Vehicle (AGV) |
441 |
|
|
2.2 Mobile Working Stations (MWS) |
442 |
|
|
2.3 Real-Time Locating System (RTLS) |
442 |
|
|
3 Research Gap |
443 |
|
|
4 Approach of the Study |
443 |
|
|
5 Case Study for Validation |
444 |
|
|
6 Conclusion and Outlook |
446 |
|
|
References |
447 |
|
|
Safety and Operating Concept for Collaborative Material Flow Systems |
448 |
|
|
1 Motivation and Statement of the Problem |
448 |
|
|
1.1 Cost Factor Material Provision |
448 |
|
|
1.2 Area of Tension Between More Efficient and Simultaneously Safer Man-Machine Collaboration |
449 |
|
|
2 “Mobile Supermarket” Concept |
450 |
|
|
3 Safety and Interaction Concept for the Mobile Supermarket |
452 |
|
|
3.1 Sensor Concept |
452 |
|
|
3.2 Man-Machine-Interaction |
453 |
|
|
3.3 Machine-Machine-Interaction |
454 |
|
|
4 Challenges on the Way to Flexible Production Plants with Collaborative Material Flow Systems |
455 |
|
|
5 Conclusion |
456 |
|
|
References |
456 |
|
|
Combining Safe Collaborative and High-Accuracy Operations in Industrial Robots |
458 |
|
|
1 Introduction |
458 |
|
|
2 Basic Concept |
459 |
|
|
2.1 Task-Oriented Path Planner and Optimization |
460 |
|
|
2.2 Online Operation Management |
460 |
|
|
3 Human Robot Collaboration |
461 |
|
|
4 High-Accurate Mode |
462 |
|
|
5 Applications |
463 |
|
|
6 Conclusion |
464 |
|
|
References |
466 |
|
|
Industrial Indoor Localization: Improvement of Logistics Processes Using Location Based Services |
467 |
|
|
1 Introduction |
467 |
|
|
2 State of the Art |
468 |
|
|
3 Method |
469 |
|
|
4 Location Based Services |
469 |
|
|
4.1 Location-Dependent Allocation Algorithm |
469 |
|
|
4.2 Order Orchestration |
471 |
|
|
4.3 Feature Based Recognition of Points and Areas |
472 |
|
|
5 Conclusion |
473 |
|
|
References |
474 |
|
|
Interface-Free Connection of Mobile Robot Cells to Machine Tools Using a Camera System |
475 |
|
|
1 More Complex Parts Require Flexible Automation Solutions |
475 |
|
|
2 State of the art |
476 |
|
|
2.1 Mobile robot cells for machine tool automation |
476 |
|
|
2.2 Camera-based object localization and state detection |
477 |
|
|
2.3 Goal of the work and research questions |
478 |
|
|
3 Robust 2D object detection as enabler for flexible robot cells |
478 |
|
|
3.1 Additional camera skills for an interface-free machine tool connection |
478 |
|
|
3.2 Requirements for image processing and resulting conclusions |
479 |
|
|
3.3 Marker-based machine tool localization through point clouds |
479 |
|
|
3.4 Signal transmission through machine control panel |
480 |
|
|
4 Experiments |
481 |
|
|
5 Summary and outlook |
483 |
|
|
References |
483 |
|
|
The Fully Flexible Body Shop – A Holistic Approach for the Vehicle Production of Tomorrow |
485 |
|
|
1 Introduction |
485 |
|
|
2 Planning Processes |
486 |
|
|
2.1 Definition of Requirements |
486 |
|
|
2.2 Workspace Investigations for Flexible Clamping Technology |
487 |
|
|
2.3 Software-supported Fixture Design |
488 |
|
|
3 Handling and Clamping Technology |
488 |
|
|
4 Flexible Joining |
490 |
|
|
4.1 Laser Welding |
491 |
|
|
4.2 Resistance Spot Welding |
491 |
|
|
5 Discussion |
491 |
|
|
6 Conclusion |
492 |
|
|
References |
492 |
|
|
Development of an Integrated Data-Driven Process to Handle Uncertainties in Multi-Variant Production and Logistics: A Survey |
493 |
|
|
1 Introduction |
494 |
|
|
2 Scope of Review |
494 |
|
|
2.1 Concept of Planned Orders |
494 |
|
|
2.2 Supply Chain Management Under Uncertainty |
495 |
|
|
2.3 Artificial Intelligence in Multi-Variant Production |
495 |
|
|
3 Taxonomy |
496 |
|
|
3.1 Review Methodology |
496 |
|
|
3.2 Classification Scheme |
496 |
|
|
4 Review of Approaches |
497 |
|
|
5 Discussion and Conclusion |
499 |
|
|
References |
500 |
|
|
Author Index |
502 |
|