Fluids Simulations to Improve Real-World Performance
In the modern competitive world of product innovation, industries demand the complex simulation of their product’s real-world behavior under extreme conditions; such as vehicles wading, powertrain lubrication and critical flight maneuvers.
XFlow offers particle-based Lattice-Boltzmann technology for high fidelity Computational Fluid Dynamics (CFD) applications as a part of SIMULIA’s Fluids Simulation portfolio.
The state-of-the-art technology of XFlow enables users to address complex CFD workflows involving high frequency transient simulations with real moving geometries, complex multiphase flows, free surface flows and fluid-structure interactions.
Its automatic lattice generation and adaptive refinement capabilities minimize user inputs thereby reducing time and effort in the meshing and pre-processing phase. This enables engineers to focus the majority of their efforts on design iteration and optimization.
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.
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.
SIMULIA Fluids Simulation is driven by three complimentary technologies that provide customers with scalable fluids simulation to address broad range of real world applications. Dassault Systèmes SIMULIA brand is committed to enhancing and expanding our Fluids Simulation portfolio to provide end-to-end solutions for broad range of Industry Processes on the 3DEXPERIENCE platform.
In non-equilibrium statistical mechanics, the Boltzmann equation describes the behavior of a gas modeled at mesoscopic scale. The Boltzmann equation is able to reproduce the hydrodynamic limit but can also model rarified media with applications to aerospace, microfluidics or even near vacuum conditions. As opposed to standard MRT, the scattering operator in XFlow is implemented in central moment space, naturally improving the Galilean invariance, the accuracy and the stability of the code.
XFlow features a novel particle-based kinetic algorithm that has been specifically designed to perform very fast with accessible hardware. The discretization approach in XFlow avoids the classic domain meshing process and the surface complexity is not a limiting factor anymore. The user can easily control the level of detail of the underlying lattice 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.
XFlow engine automatically adapts the resolved scales to the user requirements, refining the quality of the solution near the walls, dynamically adapting to the presence of strong gradients and refining the wake as the flow develops.
XFlow features the highest fidelity Wall-Modeled Large Eddy Simulation (WMLES) approach to the turbulence modeling.
The underlying state-of-the-art LES, based on the Wall-Adapting Local Eddy (WALE) viscosity model, provides a consistent local eddy-viscosity and near wall behavior. It also performs in CPU-times similar to most codes providing just RANS analysis. XFlow uses a unified non-equilibrium wall function to model the boundary layer. This wall model works in most cases, meaning that the user do not have to select between different models and take care of the limitations related to each scheme.