Additive manufacturing (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 will focus on this research and the opportunities that the digitalisation of the AM process offers and the continuing research challenges that it presents.
The workshop will cover 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 will include Prof. Iain Todd (MAPP), Prof. Eduard Hryha (Chalmers) and speakers from Chalmers, University of Sheffield, University of Cambridge, Siemens Energy, Linde, Wayland Additive, and Alloyed.

This workshop will be running as a hybrid event, with the opportunity to attend in person or access the event virtually. The in-person side of the event will take place at INOX, Level 5, Students' Union Building Durham Road, Broomhall, Sheffield S10 2TG, whilst virtual access will be via Microsoft Teams.

Please register using the appropriate link:





Workshop on Artificial Intelligence in Additive Manufacture (joint CAM2 and MAPP event)