Cyber-Physical Systems in Production Engineering

1. Field of Application 1: Manufacturing, Process Optimization, and Quality Control 2. Use Case 1: Optimization of production processes by accessing of process information 3. Online process planning by self-learning detail planning 4. Measuring of process forces within highly rigid mechanical structures 5. Tempering control of forging processes by integration of cavities 6. Modular and multifunctional micro sensors 7. Micro sensors without substrate material 8. Laser shaping of thin layer micro sensors on technical surfaces 9. Surface inherent energy and data transmission by optical signal coupling 10. Teachless process monitoring for the production of individual parts 11. Use Case 2: Benefits of cyber physical systems in work and process planning 12. Technologies enabling the use case: Adaptive process planning and control by ubiquitous information on the production process 13. Opto-electronic integration of high frequency communication systems 14. Field of Application 2: Life Cycle, Identification, Design Optimization and Maintenance Planning 15. Use case 3: Storing data within materials and its potential during production and product lifecycle 16. Technologies enabling the use case: Data storage within the subsurface of a component by local heat treatment 17. Magnetic data storage within a technical surface 18. Topography manipulation application of an actuated milling tool 19. Use case 4: Inseparably merging data and component and its application component identification and protection against plagiarism 20. Technologies enabling the use case: Component identification by means of unique topography features 21. Data storage and component labeling within bulk material by sintering 22. Use case 5: Benefit of real life data assessment within the life cycle of a component 23. Technologies enabling the use case: Determination of loads by applying magnetic magnesium alloys 24. Determination of loads by changes of subsurface properties 25. Harmonic analyses of eddy current signals for load measurement 26. Design optimization by assessing real life load information over a products life cycle 27. Condition based maintenance based on real life load data from a components life cycle