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A workshop on Artificial Intelligence in Additive Manufacture (AM) provided an opportunity for MAPP to connect with about 180 colleagues and address some AM monitoring, control, and data challenges.
AM has the potential to offer materials engineers and metallurgists the freedom to control microstructure and materials properties in ways that were previously seen as being “impossible”.
To enable this requires an extremely high degree of control over the process. To achieve this needs advances in machine control and sensor technologies, in the application of modelling and machine learning in understanding process planning and, also its direct control.
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 joint workshop, on Wednesday 20 October 2021, focused on this research and the opportunities that the digitalisation of the AM process offers and the continuing research challenges that it presents.
The workshop covered the following topics:
- Quality Assurance and Sensors for AM – including thermal, hyperspectral, audio
- AI/ML and physically-based modelling for AM
- Ground Truth in AM processes
- 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, University of Cambridge, Siemens Energy, Linde, Wayland Additive, and Alloyed.
The workshop ran as a hybrid event, with the opportunity to attend in person or access the event virtually. More than 130 colleagues connected online, 30 colleagues attended the in-person venue in Sheffield, UK, and 20 colleagues attended the in-person venue in Göteborg, Sweden.
The Royal Society Pairing Scheme.