Computational Fluid Dynamics (CFD)

Flow simulation, known in the technical field as Computational Fluid Dynamics (CFD), is a branch of fluid mechanics that uses numerical methods and algorithms to analyze and predict flow processes computationally. In a CFD model, the Navier-Stokes equations, which describe fluid motion, are discretized and solved using powerful computers. This makes it possible to virtually reproduce complex flow patterns, turbulence, heat transfer, or chemical reactions.
For filtration technology and plant engineering, CFD simulations offer enormous advantages: they enable the design of filter housings, feed channels, and discharge zones with optimized flow guidance, reduce dead zones, and increase the utilization of the active filter area. GKD uses CFD software to model flow through woven filter media, predict pressure drop, and understand the influence of pore distribution and fiber geometry. Especially for large process belts and demanding architectural fabrics, this approach helps identify weak points, avoid resonances, and unlock energy-saving potential.
With OpenFOAM, an open-source CFD platform, customer-specific models can be created and iteratively improved. The results feed into the development process and help realize practical solutions faster, optimizing throughput, filtration efficiency, and system availability.