A holistic approach for developing and commissioning data driven CPPS functionality in manufacturing systems
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
The manufacturing of high-tech materials such as forming of composites often requires complex process chains with a multitude of parameters and parameter interactions. Hence, the manufacturing processes themselves and especially monitoring and controlling those processes becomes increasingly complex. Currently developed Cyber-Physical Production Systems (CPPS) shall comprise data acquisition by sensors, connected actuators, communication functionality as well as data analysis based on mathematical models and autonomous process control. Hence, it becomes possible to detect the current process state and to adjust process parameters in real-time in an optimal way accordingly.
Details
Original language | English |
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Pages (from-to) | 257-265 |
Number of pages | 9 |
Journal | Lecture Notes in Mechanical Engineering |
Publication status | Published - 2017 |
Peer-reviewed | Yes |
External IDs
ORCID | /0000-0001-7540-4235/work/161408747 |
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Keywords
ASJC Scopus subject areas
Keywords
- Cyber-physical production systems, Parameter adaptation, Process chain, Process data analysis