| Coordinator | NORCE NORWEGIAN RESEARCH CENTRE AS |
| Beneficiaries in Agder | 3B-FIBREGLASS NORWAY AS, EYDE-KLYNGEN |
| Start- and end year | 2023-2026 |
COGNIMAN aims to improve difficult-to-automate manufacturing processes, such as glass fibre production, precision machining, additive manufacturing and high-temperature metal production, which currently require significant labour-intensive efforts.
The main goal is to develop and demonstrate a new concept of “digital cognitive smart manufacturing” that integrates advanced technologies like simulations, digital twins, advanced sensors, machine learning and cognitive robotics.
This approach will enable flexible, resilient, reconfigurable, safe, sustainable and efficient smart manufacturing, ultimately boosting the European technology and manufacturing sectors’ competitiveness towards industrial leadership in global markets. It will also help reduce the environmental footprint of manufacturing activities.
Background:
Glass fibre production, precision machining of large parts (e.g. wind turbines), additive manufacturing of medical implants and high-temperature metal production are manufacturing examples with processes that are difficult to automate. The main reasons for the actual labour-intensive efforts in these scenarios are lack of full understanding and control over the individual manufacturing steps and the high complexity of the tasks. This has severe impacts on sustainable growth, manufacturing productivity, efficiency and flexibility due to the large amount of unforeseen waste in production and processing time.