STAR-CCM+ / MESHING

Build the STAR-CCM+ mesh from physics, not one global base size.

A robust CFD mesh resolves geometry, wall-normal gradients, wakes, jets, interfaces and other dominant flow structures with the minimum cell count needed to support the engineering decision.

SHORT ANSWER

Use the coarsest global mesh that still allows targeted local resolution where the physics demands it. Global refinement is expensive; local controls should follow curvature, gaps, near-wall gradients, free shear, interfaces and expected solution features.

01

Surface mesh: preserve the geometry that controls the flow

The surface mesh establishes the geometric fidelity available to the volume mesh. Use curvature and proximity refinement where shape or small gaps matter. Over-refining large flat areas rarely improves the simulation, while under-resolving a leading edge, narrow gap or small jet can fundamentally change the result.

Inspect the surface mesh before generating millions of volume cells. Confirm that edges, holes, contacts and local curvature look physically correct.

02

Choose the volume mesher from the geometry and application

Trimmed, polyhedral and directed-style workflows each have different strengths. The correct choice depends on geometry complexity, dominant flow direction, memory/runtime targets and whether structured alignment is valuable. Do not choose a mesher only because it was used in a previous unrelated tutorial.

Complex general geometry

Robust unstructured/polyhedral or trimmed approaches are often practical for large industrial models.

Strong directional structure

Directed or swept strategies can be useful when topology supports a controlled inlet-to-outlet mesh.

03

Near-wall resolution must match the wall model

Choose wall treatment first, then target y+, first-layer distance, prism count, growth and total thickness. A good core mesh cannot compensate for an internally inconsistent near-wall strategy.

Use the complete near-wall workflow

Wall-treatment advisor → y+ calculator → prism-layer calculator.

Start Wall Strategy →
04

Local controls should follow expected gradients

  • Curvature: leading edges, fillets, blade profiles and sharp geometry changes.
  • Proximity: gaps, seals, tip clearances and thin channels.
  • Wakes / jets: refine downstream volumes, not only source surfaces.
  • Rotating interfaces: maintain compatible scales and sufficient resolution on both sides.
  • Free surfaces: refine around the interface and combine with a timestep strategy.
  • Heat transfer: resolve fluid and solid thermal gradients, not only velocity gradients.

Local refinement is useful only when it covers the full region through which the important feature moves or develops.

05

Mesh quality is local and solver-specific

Global histograms are useful screening tools, but the worst cells matter most when they occur in high-gradient regions or near interfaces. Inspect solver-specific quality metrics, prism collapse, abrupt size transitions, non-orthogonality/skewness-type indicators and tiny isolated cells.

A few pathological cells can force a smaller timestep or destabilize a case even when the overall mesh statistics look excellent.

Build a feature-based checklist

Select walls, curvature, gaps, wakes, rotating regions, VOF, thermal gradients and motion.

Mesh Advisor →
06

Mesh independence means output independence

Do not define a mesh study only by total cell count. Refine the mesh features that control the reported result and compare engineering outputs such as pressure drop, force, heat transfer, mass flow or temperature. If the quantity changes materially, the solution is still mesh-sensitive.

  1. Choose a baseline mesh.

    Document base size, local controls and prism strategy.

  2. Refine the dominant error source.

    Near-wall cells, wake, gap or interface—not necessarily the whole domain.

  3. Compare the same engineering monitors.

    Use normalized differences when possible.

  4. Check cost versus change.

    The useful mesh is the one whose added resolution no longer changes the decision enough to justify the expense.

AUTHORITY

Mesh strategy: quantify resolution before multiplying cells

This section turns the workflow into a quantitative engineering check and an original visual model that can be reused during setup review.

coarse domaintargeted refinement
Local resolution should follow geometry and solution gradients; a smaller global base size is not automatically a better mesh.
ENGINEERING RELATION

N₂/N₁ ≈ (h₁/h₂)³

  • N = approximate 3D cell count
  • h = representative cell size
Worked example:

Reducing a representative cell size to 80% of baseline can raise a uniformly refined 3D cell count by about 1/(0.8³) = 1.95×. This is why local controls are usually more efficient than global refinement.

Decision table

Global refinement

Use only when error is broadly distributed.

Track cost and the target output together.
Local wake/gap refinement

Use when gradients are spatially concentrated.

Confirm the refined zone covers the full feature.
Final mesh

Stop when the engineering conclusion becomes insensitive to defensible refinement.

Use GCI or a documented mesh-sensitivity study when possible.

Primary / official references

Exact model names and menu locations can change by STAR-CCM+ release; use the official documentation for the installed version when reproducing software steps.

AI Assistance
Contact
TGTelegram