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Delegates and speakers shared the latest thinking on additive manufacturing in industry at our second joint workshop with the Centre for Additive Manufacture – Metal (CAM2) on Wednesday 5th October.
The event included interesting speakers from Siemens, AMEXCI, Carpenter Additive, Rolls-Royce, Themo-Calc Software and academia.
More than 80 delegates attended the hybrid event, held online and in Sheffield. It followed 2021's successful workshop on Artificial Intelligence in Additive Manufacture (AM).
It provided an opportunity to connect with about 45 colleagues in person and 35 online delegates to address some AM monitoring, control, and data challenges.
The joint workshop on Artificial Intelligence in Additive Manufacture, covered the following topics:
- In-process Control in Additive Manufacture
- Data handling in AM
- Process Modelling and Simulation
- Digital qualification of processes and materials
The programme included MAPP Director Prof. Iain Todd, Prof. Eduard Hryha, director of CAM2, and speakers from Chalmers, University of Sheffield, Carpenter Additive, Amexci AB, Siemens, the University of Cambridge, and Rolls-Royce plc.
AM allows almost unlimited freedom of component design for designers and engineers, enabling the direct manufacture of complex components that are not possible or feasible to produce by other technologies.
AM also has rather unexploited potential to offer materials engineers and metallurgists the freedom to control microstructure and materials properties in ways that were previously also seen as being “impossible”.
However, practical utilization of this potential requires an extremely high degree of control over the AM process on the micro-and macro-level. This requires the development of machine control and sensor technologies in combination with modelling and machine learning tools to enable process control and its tailoring to utilize the benefits of material and component design as well as to assure process robustness.
Researchers, at CAM2 and MAPP, have been deeply involved in the development of new methods and strategies and their application to the control of the AM processes and components manufactured by AM. This workshop focused on this research and the opportunities that the digitalisation of the AM process offers and the continuing research challenges that it presents.
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