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Alloy Design and Development

Accelerate innovation and optimise processing

KEY BENEFITS

  • Fast computational design of new or improved alloys
  • Optimise process parameters and ensure production quality
  • Characterise and qualify alloys efficiently, focusing experiment and testing

RELATED TOPICS

  • Materials overview
  • Manufacturing overview
  • Additive manufacturing

Materials teams want to find new alloys that outperform existing solutions or fill gaps in the market. They do a lot of expensive experiment, testing, and simulation to identify the best candidates. Can they get there faster at lower cost per new material? With Alchemite, you can use the data you have to design new and improved alloys, optimise processes, and more effectively target your testing and experiment.

Because this data comes from diverse sources and tests, it tends to be ‘sparse’, causing problems for conventional analysis tools. Alchemite is designed to handle sparse, noisy data, and to work for problems with multiple target parameters. It’s ideal (and proven) for design of new alloys/materials.

Recorded webinar

Deep learning for materials development and additive manufacturing

View recording

Case studies and demonstrators

Designing a new superalloy for aero engines

In a research project for the aerospace sector, the Intellegens technology met a complex design challenge, proposing a new nickel-base superalloy that was simultaneously optimised against eleven different physical criteria.

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Combatting wear with Welding Alloys Group

Welding Alloys Group (WAG) and Intellegens applied machine learning to identify a new hardfacing material with considerable environmental and cost/benefit advantages when applied to combat wear, one of the most challenging problems faced by heavy industry.

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Design of a titanium alloy with GKN Aerospace

Intellegens in collaboration with GKN Aerospace found a new titanium alloy composition for heat exchanger applications, seeking to maximise thermal conductivity without diminishing the current mechanical properties. The material design process that would normally take two years was reduced to less than three months.

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Development of a shape memory alloy with NASA

A webinar with NASA Glenn Research Center covered the validation of Alchemite™ for applications including the development of shape memory alloys for aerospace applications.

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Alchemite for alloys and superalloys

With the Alchemite software scientists and engineers can apply powerful deep learning methods to design, characterize, and optimise production of alloys.

  • Gap-fill and validate sparse, noisy data from suppliers, testing, simulation, and production
  • Auto-generate models that identify key property / process relationships
  • Quantify uncertainty to support a rational business case for key decisions
  • Identify which tests to do in order to characterise or qualify materials with maximum efficiency
  • Propose new alloy designs, optimising against multiple targets
  • Optimise both composition and processing parameters
  • Respond to challenges such as how to incorporate recycled feedstock
Product information

Company number : 10591395 | Vat number: 267525774
Address: The Studio, Chesterton Mill, Cambridge, United Kingdom, CB4 3NP
Copyright 2023 Intellegens Limited - All rights reserved | Privacy policy

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