Meet us to discuss machine learning for engineering.
Dr Gareth Conduit, CTO at Intellegens, is giving two presentations (details below) at this event and members of the Intellegens team will be attending to discuss applications of machine learning in materials, manufacturing, and beyond. Contact us to arrange a meeting.
Event website: https://www.advancedengineeringuk.com
3-4 November 2021 at the NEC, Birmingham.
Presentations
Machine learning for Additive Manufacturing and Project MEDAL
Speaker: Dr Gareth Conduit, CTO, Intellegens
Session: Aero Engineering Forum (NATEP-funded projects case studies)
Timing: 3 November, 09:30
Machine learning has the potential to speed up AM development projects and achieve better results with much reduced testing, but only if it overcomes some significant hurdles. We’ll describe a novel machine learning technology that is meeting the challenge and introduce the NATEP-sponsored Project MEDAL, in which Intellegens is working with the UK’s Advanced Manufacturing Research Centre (AMRC) and global aerospace giant Boeing. This is applying machine learning to find out which process parameters are really controlling target properties in Laser Powder Bed Fusion (LPBF) processes and to guide experimentation so that results can be achieved with far fewer tests.
The sparse, noisy data problem in product development, manufacturing, and beyond
Speaker: Dr Gareth Conduit, CTO, Intellegens
Session: Connected Manufacturing Forum
Timing: 3 November, 15:00
Development or delivery of performant products or efficient processes often faces the challenge of sparse, noisy data as the only available data is from diverse past experiments. Real-world sensor data on manufacturing processes is susceptible to variations or interruptions. Data on supply chains or capital assets is often incomplete or inconsistent. Machine learning can maximize the value extracted from expensively-acquired data to help us optimize products and processes, however conventional machine learning typically fails when faced with training data sets that are sparse or noisy. In this talk, we will discuss how this challenge can be overcome, including an introduction to the Alchemite™ deep learning software. With the right strategies and tools, we can design better materials, optimize and control production processes, guide predictive maintenance, and make smart investment decisions.
More on these topics
- Alchemite™ for Additive Manufacturing
- Alchemite™ for Materials
- Alchemite™ for Predictive Maintenance
- Alchemite™ for Process Optimisation
- An overview of the Alchemite™ Technology
- Case studies
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