3D Printing Industry | 4/29/2019 | Tia Vialva
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Intellegens, an AI company spinning-off from the University of Cambridge, has developed a new machine learning algorithm for designing new materials for 3D printing.

Alchemite, developed in collaboration with partners such as the Stone Group, was used to design a new nickel-based alloy for Direct Laser Deposition, eliminating long and expensive experiments.

Learning - Capabilities - Relationships - Alchemite - Project

“With deep learning capabilities that can pinpoint property-to-property relationships very quickly, Alchemite was uniquely positioned to assist with this project,” said Gareth Conduit, CTO at Intellegens, and a Royal Society University Research Fellow at the University of Cambridge.

“Alchemite enabled the team to use a large database of thermal resistance measurements to guide the extrapolation of just ten data entries of alloy processability. From that information, we were able to shortlist material combinations that were most likely to deliver the right characteristics.”

Laser - Deposition - Action - Photo - Intellegens

Pulsed laser deposition in action. Photo via Intellegens.

Direct Laser Deposition, a variety of directed energy deposition (DED) additive manufacturing technology uses focused thermal energy to fuse materials. Commercial machines using this process are provided by companies such as Optomec and BeAM Machines.

Technology - Aerospace - Engine - Components - Turbine

This technology has been used to produce aerospace engine components, turbine blades, and oil drilling tools. Despite its capabilities, materials used to create such industrious parts are limited due to the high temperature and stress gradients required within the manufacturing process.

Intellegens’ Alchemite engine, which...
(Excerpt) Read more at: 3D Printing Industry
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