When solving CFD problems of unsteady flow, which often arise due to flow across complex solid geometries, such as the exterior surface of an automobile, a traditional mesh-based approach to solving these problems is highly dependent on the quality of the mesh. This results in engineers spending most of the time working on the mesh discretization, rather then solving the engineering problem. Additionally, difficulties can arise when there are changes in the topology of the domain for problems involving the presence of moving parts or fluid-structure interaction.

XFlow offers particle-based Lattice-Boltzmann technology for high fidelity Computational Fluid Dynamics (CFD) applications expanding SIMULIA’s CFD portfolio. XFlow’s state-of-the-art technology enables users to address complex CFD workflows involving high frequency transient aerodynamics with real moving geometries, complex multiphase flows, free surface flows and fluid-structure interactions.

XFlow’s automatic lattice generation and adaptive refinement capabilities minimize user inputs thereby reducing time and effort in the meshing and pre-processing phase of a typical CFD workflow. This enables engineers to focus the majority of their efforts on design iteration and optimization, rather than the time consuming meshing process.

With XFlow’s discretization approach, surface complexity is also not a limiting factor. The underlying lattice can be controlled with a small set of parameters; the lattice is tolerant to the quality of the input geometry and adapts to the presence of moving parts.

In addition, advanced rendering capabilities provide realistic visualization to gain deeper insight into flow and thermal performance. XFlow’s unique capabilities enable companies to reduce physical testing while making to make better design decisions faster.