Once the model is complete, the next step is meshing — the process of dividing the domain into tiny cells or elements. The accuracy and stability of a CFD simulation heavily depend on mesh quality.
A finer mesh in critical regions (like near walls or around curves) allows for capturing detailed flow behavior, while coarser meshes elsewhere save computational time.
The mesh acts as the numerical backbone of the simulation, determining how equations are solved across the geometry.

After meshing, the simulation setup is transferred to a CFD solver. This is where the governing equations of fluid motion — based on mass, momentum, and energy conservation — are numerically solved over each mesh cell.
The solver iterates through these equations until the solution converges, providing values for velocity, pressure, and other physical quantities at every point in the flow field.
Different solvers can handle compressible or incompressible flows, laminar or turbulent regimes, and steady or transient conditions.

Once the solver completes, we move to post-processing, where simulation data is transformed into meaningful insights.
Here, engineers visualize flow patterns, identify regions of high drag or lift, and compute engineering quantities like pressure coefficients or velocity contours.
Post-processing bridges the gap between raw numerical data and design decisions, providing the visual clarity needed to optimize shapes, reduce drag, or improve thermal performance.