Data Science and Multiphysics Simulation Consultancy Services.
Computational Fluid Dynamics
We employ computational fluid dynamics to study complex fluid flows. Your fluid flow conditions can be creeping, laminar, turbulent, bubbly, multiphase and many more besides. Fluid types can be low speed, high speed, compressible, incompressible Newtonian, and non-Newtonian.
Image produced using ScanIP from Synopsys Simpleware. Check out our latest success story with Synopsys here.
We can help to reduce your manufacturing design cycle and to minimise the need for expensive prototypes. We can do this by coupling optimisation algorithms to finite element, computational fluid dynamics and multiphysics simulation models.
In many instances it is necessary to support our calculations using high performance computing (HPC) resources. Our Enterprise account with Rescale gives us instant access to the world's largest HPC infrastructure in the cloud.
We use the discrete element method to model the motion and interaction of large collections of discrete entities. Examples include granular flows, powder processing and the mechanics of soil excavation and transport.
Our team includes several data scientists with expertise in the latest, most state-of-the-art data science and machine learning methods, higher level statistics and mathematics, and scientific programming. We combine this expertise with our expertise in the physical sciences to deliver novel and bespoke engineering solutions to our clients.