In the traditional mesh-based approach to solving computational fluid dynamics (CFD) problems, reliability is highly dependent on the quality of the mesh. Engineers spend most of their time working on the discretization of the mesh. Additionally, there are difficulties in dealing with the changes in the topology of the domain for problems involving the presence of moving parts or fluid-structure interaction.

Automatic lattice generation and adaptive refinement

  • Minimizes user inputs while reducing time and effort in the meshing and pre-processing phase of a typical CFD workflow.

Wall-Modeled Large Eddy Simulation (WMLES)

  • Efficiently resolves the majority of turbulence scales, providing high-resolution insight into complex flow physics.

Particle-based Lattice Boltzmann technology for high-fidelity CFD

  • Enables users to address complex CFD problems involving high-frequency transient aerodynamics, real moving geometries, complex multiphase flows, fluid-structure interactions, and aero acoustics.

Advanced rendering capabilities

  • Provide realistic visualization to gain deeper insight into flow and thermal performance, enabling users to make informed design decisions faster.

High Performance Computing (HPC)

  • Leverage the power of modern parallelized computing to accelerate the execution of realistic CFD simulations to reduce or replace physical testing.
abaqus buying guide cover Sunreef Yachts revolutionized the way they design boats using XFlow CFD simulation.

Hear the full story in the case study.

DLC: Case Study: Sunreef Yachts Direct

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Unified Solver and Pre-/post-processor

XFlow provides a unique and novel interface and working environment for the user. The pre-processor, solver and post-processor are fully integrated in the same environment. The User Interface layout is fully configurable with movable workspace windows and options to use pre-set display settings.


Being particle-based, the algorithms behind XFlow lower the requirements imposed on the CAD models. For example, in the analysis of external aerodynamics, the software is not concerned with moving or crossing surfaces as soon as these define a coherent fluid volume. XFlow reduces the number of parameters the user has to set to define the flow characteristics and generate the fluid domain. Thus, the complexity of the geometry is not a limiting factor in XFlow.


The graphical post-processing capability of XFlow allows interactive visualization of the solution and allows numerical analysis even while the computation is still running. XFlow provides tools for additional processing through export to third-party applications such as ParaView and EnSight Gold.

xflow post-processing of nozzle nozzle jet simulation

Post-processing nozzle jet simulations


Particle-Based Kinetic Solver

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.

Adaptive Wake Refinement

XFlow 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.

Single Consistent Wall Model

XFlow uses a non-equilibrium wall function to model the boundary layer. This wall model takes into account the adverse pressure gradients responsible for flow separation, important in aerodynamics analysis. Moreover, the wall model is automatically disabled as soon as the lattice size near walls is small enough to resolve directly the flow in the boundary layer.

Turbulence Modeling: High-Fidelity WMLES

XFlow features a high fidelity Wall-Modeled Large Eddy Simulation (WMLES) approach to 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.


Shared Memory Parallel (SMP) Performance

XFlow is fast, efficient and accessible even on a standard desktop PC. XFlow is fully parallelized for multi-core technology with near-linear scalability.

Distributed Memory Parallel (DMP) Performance

XFlow’s performance scalability” width=”640″ height=”473″ />
XFlow also perfectly integrates into your HPC environment, which opens a wide range of possibilities for the most demanding computations. XFlow’s distributed solver scales efficiently even for a large number of nodes.

"Graph Distributed Memory Parallel Scalability Performance

XFlow sail simulations



  • Full vehicle aerodynamics
  • Aeroacoustics
  • Powertrain lubrications
  • Thermal cooling and passenger comfort
  • Rotating wheels, suspension system and vehicle overtaking
  • Refueling process and driving through water


Civil Engineering

  • Wind loads on buildings, bridges and othercivil engineering works
  • Free surface analysis of marine structures, dam spillways and flooding
  • Heating, air-conditioning and ventilation of indoor spaces
  • Dispersion of contaminants



  • Drag and lift prediction
  • Pressure and skin friction loads
  • Landing gear deployment, moving flaps configuration and rotary wings
  • Aeroacoustics
  • Ventilation and climate control systems
  • Transonic and supersonic flows


  • Thermal analysis in data centers
  • Dynamics of valves and pumps
  • Simulation of mixing processes
  • High fidelity non-Newtonian viscosity models


  • Flow and resistance around ship hulls
  • Analysis of wake, propellers, seakeeping and maneuvering
  • Sloshing phenomena
  • Wave propagation


  • Oil & Gas flows
  • Aerodynamics of wind turbines
  • Analysis of water wheels
  • Wind loads on solar panels

Read XFlow whitepapers and case studies, watch webinars, and more:

See Our Resources

All your questions, answered.

  • What else can XFlow do?
  • How does XFlow work?
  • How do I learn to use it?
  • Can I see more industry-relevant examples?
  • Is there a trial?

We’re happy to answer any questions you may have about XFlow. Contact us today to start a conversation about how XFlow can improve your engineering in so many ways.

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