SOURCE-LINKED INTELLIGENCE
Made-to-measure micromachining with laser beams tailored in amplitude and phase
sing heads: e.g. polishing, milling, drilling and cutting (importantly including any wall angle). Made-to-measure laser processes: Each infeed component is scanned with a high resolution 3D sensor. A machine learning algorithm determines an individualised laser process to maximise efficiency and ensure ""first time right"". In-line process control: Data from additional online sensors are processed using an edge device running a self-learning algorithm to provide real-time feedback for system control. The ultra-fast edge-based signal processing and synchronisation are key project topics. Agile and scalable: Suitable for any standard industrial production line including 2-, 3- or 5-axis, rotating and roll-to-roll, and for scale up to parallel processing with multiple modules. The three end use cases (UCs) show the versatility and scope for replacing existing process chains: UC-1 PHILIPS: Small complex metal parts (shaving heads) requiring 90 degree wall angles. UC-2 TKSE: Large area embossing rollers and the re-writing of old rollers. UC-3 CERAT: Very hard carbide parts and refurbishme
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 6994296
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T00:21:03.701Z. This is not the publication date.