Intellegens launches machine learning package for AM following double ASME awards win

July 7, 2021

Intellegens’ new Alchemite AM package provides a bundle of machine learning software, analytical tools and implementation services designed to help AM teams extract value from their data, and more (Courtesy Intellegens)

Deep learning software specialist Intellegens, Cambridge, UK, has announced the launch of a new solution for Additive Manufacturing: the AlchemiteTM AM Package. This bundle of machine learning software, analytical tools and implementation services is designed to help AM teams extract value from their data, optimise build parameters and ensure more repeatable AM processes, while greatly reducing the need for testing.

The launch of the Alchemite AM Package follows Intellegens’ success at the recent AM Innovation Awards, organised by the American Society of Mechanical Engineers (ASME), where it won both the Best-in-Class Software and Startup Innovation Awards.

The technology is reported to be unique in its capability to extract value from sparse and noisy experimental datasets, such as those generated during AM projects. These projects seek to understand the subtle combined effects of material properties, machine parameters, and operating conditions on the consistency and performance of AM parts. Such understanding helps to get parts to market faster, fulfilling the promise of AM for more flexible delivery of stronger, lighter products.

Alchemite has reportedly been validated in a range of customer projects and through Project MEDAL, an AM collaboration with the UK Advanced Manufacturing Research Centre (AMRC) and global aerospace giant Boeing, supported by the National Aerospace Technology Exploitation Program (NATEP). Intellegens is also working in partnership with engineering simulation company Ansys to embed Alchemite within its AM data management solution.

The Alchemite AM Package builds on the knowledge developed through this work. It is said to deliver the right combination of software and expert advice to ensure that new user organisations get up and running quickly as they apply machine learning to accelerate the delivery of AM processes.

“We were delighted to be recognised by the ASME Additive Manufacturing community,” commented Ben Pellegrini, CEO. “This is yet more evidence of the growing interest in applying our technology to AM. We are responding by ensuring that our product and service portfolio is optimised to enable a fast start as we onboard more AM customers.”

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