DynaSty: Reducing Climate Footprint with AI Digital Twins
The DynaSty project developed a digital twin simulator of the carbon diffusion process in steel hardening, optimizing recipes to maintain quality while cutting carbon emissions by up to 50%.
In steel hardening, components are exposed to a carbon-rich atmosphere in an oven, allowing carbon to diffuse into the steel surface. These components are then cooled in an oil bath, hardening the surface.
The Challenge
The hardening process, dictated by specific recipes, significantly contributes to the industry’s carbon footprint. Committed to meeting EU climate goals, efforts have intensified to minimize this impact.
The Digital Twin Solution
In the DynaSty project, we developed a “digital twin” simulator of the carbon diffusion process. This simulator enables optimization of recipes to maintain steel quality while cutting carbon emissions by up to 50%.
Industry Adoption
This breakthrough has led the industry to adopt these new, more sustainable recipes. The project demonstrates how AI-powered simulation can deliver immediate environmental benefits without compromising product quality.
Broader Applications
The digital twin approach developed in DynaSty can be applied to other industrial processes where optimization of recipes and parameters can reduce environmental impact while maintaining output quality.
