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Join us to find out how machine learning methods are being applied to solve key problems in the design, characterization, and processing of metal alloys and other advanced materials, with a case study from an additive manufacturing (AM) project involving Intellegens, Boeing, and the AMRC.

What you will learn:

  • Typical data analysis challenges for advanced materials (alloys, composites, ceramics), and AM – what constrains machine learning methods?
  • How you can use Alchemite deep learning to gap-fill data and build models, enabling more effective characterization of materials
  • How deep learning has been successfully used to design experiments and in computational design of alloys
  • How you can monitor and optimise process parameters to ensure quality
  • How these approaches are being applied in an aerospace AM project

Event Speakers: 

Gareth Conduit (CTO at Intellegens)

Ian Brookes (Technical Fellow at AMRC North West)

Register Here