Cambridge Flow Solutions Limited

Designing products collaboratively and exploiting new technologies in the age of artificial intelligence (AI) and machine learning (ML) requires novel approaches to the ways engineering teams must work. In the COLIBRI project we will explore and develop new tools that exploit advances in AI/ML to improve and speed up the collaborative design environment f...

Geometry is at the heart of all aerodynamic and mechanical design processes and tools. The creation, manipulation and discretisation of geometry has become the bottle neck in design-simulation iteration time and therefore is a limiting factor in our ability to reduce time to market. Increasing competitive, environmental and commercial pressures are demand...

UK aerospace companies rely heavily on numerical simulation, both to test designs in contexts that would not be physically practical, and as the most efficient way of reducing risk and quantifying design performance. However, preparing a geometric model for simulation is still frequently a manual and labour-intensive activity. The R&D work carried out by ...

Cambridge Flow Solutions has developed a novel, highly-efficient algorithm that offers speedups of up to a factor 100 relative to currently available LES computational fluid dynamics solvers, whilst delivering simulations that have a higher order of accuracy and yet require much less memory, enabling them to be run on more readily accessible machines. Thi...