Xflow Cfd !exclusive! ⟶ ❲Plus❳

While XFlow is often described as "meshless" in the preprocessing stage, technically, it employs a or particle-based approach rooted in the Lattice Boltzmann Method (LBM) .

: Say goodbye to traditional mesh generation. XFlow’s approach significantly reduces pre-processing time, allowing you to focus on the physics rather than the grid.

To understand the value of XFlow, one must first understand the pain points of traditional CFD. In standard tools like OpenFOAM or legacy finite volume solvers, the user must generate a mesh—a grid of small cells that covers the entire fluid domain. xflow cfd

In the world of engineering simulation, Computational Fluid Dynamics (CFD) has long been the gold standard for predicting how fluids behave. From the aerodynamics of a Formula 1 car to the thermal management of a high-end server, CFD is the invisible engine behind modern design. However, for decades, the industry has been dominated by traditional, mesh-based methods that, while powerful, come with significant limitations regarding time, geometry handling, and complex physics.

Tired of spending days—or even weeks—on complex meshing? Meet , the next-generation Computational Fluid Dynamics (CFD) solution that’s changing the game for engineers worldwide. While XFlow is often described as "meshless" in

, it is designed specifically to handle complex geometries, moving parts, and highly transient flows that are often difficult for conventional mesh-based CFD tools. Dassault Systèmes Core Technology and Methodology Lattice Boltzmann Method (LBM):

Most CFD solvers are Eulerian (looking at fluid passing through a fixed control volume). XFlow is Lagrangian (tracking particles as they move through space). This allows XFlow to naturally handle: To understand the value of XFlow, one must

From improving aircraft aerodynamic performance to optimizing gearbox lubrication , XFlow is the go-to tool for: