# Uniform Refinement

Uniform refinement creates regions of consistent mesh resolution, particularly useful for capturing off-body flow features such as wakes, shocks, and vortices, while maintaining computational efficiency in regions of uniform flow.

# 📋 Available Options

Option Description Unit
Spacing Target mesh spacing in the region length (e.g. m)
Assigned boxes and cylinders Target volumes for refinement application -

# 🔍 Detailed Descriptions

# Spacing

Defines the uniform mesh spacing within the refinement region.

  • Default: None (required)
  • Example: 0.1 * u.m
  • Notes: Should be chosen based on flow feature size and resolution requirements

# Assigned boxes and cylinders

Specifies the volumes where uniform refinement will be applied.

  • Default: None (required)
  • Example: [wake_box, shock_region]
  • Notes: Must reference valid box or cylinder entities in the geometry

💡 Tips
  • Size refinement region 10% larger than expected flow feature
  • Extend wake regions 2-3 characteristic lengths downstream
  • Align refinement with expected shock angles
  • Use √3 times surface spacing for near-body regions
  • Consider flow direction when positioning refinement regions

❓ Frequently Asked Questions

  • How do I size uniform refinement regions?

    Consider the expected size of flow features and extend 10% beyond to ensure complete capture.

  • What happens if uniform refinements overlap?

    The finest (smallest) spacing will be applied in overlapping regions.

🐍 Python Example Usage

 
from flow360 import UniformRefinement, u

# Wake region refinement
wake_ref = UniformRefinement(
    name="wake_region",
    entities=[wake_box],
    spacing=0.1 * u.m
)

# Shock region refinement
shock_ref = UniformRefinement(
    name="shock_region",
    entities=[shock_box],
    spacing=0.05 * u.m  # Finer spacing for shock resolution
)

# Near-body refinement
near_body_ref = UniformRefinement(
    name="near_body",
    entities=[near_body_box],
    spacing=0.02 * u.m  # √3 times surface spacing
)

← Axisymmetric Refinement →