Slices#
Slices are two-dimensional planes used to extract and visualize flow field data in Flow360. They are essential tools for analyzing flow characteristics at specific locations within the computational domain.
Available Options#
Option |
Description |
|---|---|
Normal |
Three-dimensional vector specifying the orientation of the slice plane |
Origin |
Reference point that lies on the slice plane |
Detailed Descriptions#
Normal#
A three-dimensional vector (X, Y, Z) that defines the direction perpendicular to the slice surface.
Default:
(0, 0, 1)Example:
(1, 0, 0)for a YZ plane
Note: The vector must be non-zero and will be normalized internally.
Origin#
A point in 3D space (X, Y, Z) that defines where the slice plane is positioned.
Default:
(0, 0, 0) mExample:
(0, 0, 0) m
Note: Coordinates are specified in m, cm, mm, ft or inch.
💡 Tips
Choose normal directions that capture the most relevant flow features
Create multiple slices for comprehensive flow field analysis
Consider the underlying mesh resolution when positioning slices
Position slices at critical locations in your geometry
❓ Frequently Asked Questions
What flow variables can I visualize on a slice?
Slices can display various quantities including pressure, temperature, velocity components, density, Mach number, and other solver-specific variables.
How is the data interpolated onto the slice?
The flow field data is interpolated from the three-dimensional computational mesh onto the two-dimensional slice plane.
Does the slice resolution depend on the mesh?
Yes, the resolution of the visualized data on the slice depends on the resolution of the underlying computational mesh.
🐍 Python Example Usage
import flow360 as fl
# Create a slice at the wing mid-section
wing_slice = fl.Slice(
name="wing_section",
normal=(0, 1, 0), # Normal in Y direction
origin=(0, 3.5, 0) * fl.u.m
)