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Does your business depend on the properties of materials or their processing to create parts? Are you exploring new alloy designs? Or qualifying materials for safety-critical applications such as aerospace? Or implementing innovative technologies such as Additive Manufacturing?
In all of these examples, you need to optimize many parameters. And you must do this based on data from varied sources: experiment, in-process and in-service tests, simulation. When consolidated, this data is complex and has gaps. Multi-parameter problems with sparse data are what Alchemite does uniquely well. Find out how Alchemite will save you time, eliminate errors, and help you innovate in your use of materials and processes.
Examples
Design a new superalloy
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.
Additive Manufacturing process optimization
How can we ensure reliable, repeatable AM processes? WIth Alchemite, get more from your data. Build models that identify which parameters are the most important and help you to understand uncertainties. And get guidance on which changes in your processing setup are most likely to give you better results.
Virtual experiments for steels
Chromium makes steel corrosion-resistant and hard, but is also toxic and costly. Replacing Chromium often relies on trial-and-error experimentation. Alchemite can run ‘virtual experiments’ to propose low-chromium steels with the right property profile.
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