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Points

A comprehensive guide to monitoring and analyzing flow properties at specific locations in the simulation domain using Points and Point Arrays.

Available Creation Methods

Type Description
Point Single monitoring location in 3D space
Point array Multiple monitoring points along a straight line defined by its start and end points

Detailed Descriptions

Point

Defines a single monitoring location in three-dimensional space for tracking flow properties.

Point Parameters:

  • Position: Three-dimensional coordinates (x, y, z)

Point array

Creates an array of equally spaced points between start and end locations.

Point array Parameters:

  • Start Position: Three-dimensional coordinates (x, y, z)
  • End Position: Three-dimensional coordinates (x, y, z)
  • Number of Points: Integer > 2

Output Data

Points and Point arrays provide access to flow field variables at their specified locations, allowing for detailed monitoring and analysis of local flow properties throughout the simulation.

  • Pressure
  • Temperature
  • Velocity components
  • Density
  • Turbulence quantities
  • Vorticity
  • Other solver-specific variables

💡 Tips
  • Position points in regions where significant flow phenomena are expected
  • Use Point arrays to capture gradients or transitions in the flow field
  • Ensure points are positioned within the computational domain
  • For boundary layer analysis, create points or arrays perpendicular to surfaces
  • Use meaningful naming conventions to easily identify point locations

Best Practices for Point Placement
  • Place points upstream of regions of interest to capture incoming flow conditions
  • Use multiple points around complex geometries to understand flow patterns
  • Consider placing points at locations where experimental data is available for validation
  • For unsteady simulations, ensure points are placed where significant temporal variations are expected

❓ Frequently Asked Questions

  • What flow variables can be monitored at points?

    Points can output pressure, temperature, velocity components, density, turbulence quantities, vorticity, and other solver-specific variables.

  • How do I choose the number of points for a PointArray?

    Consider the expected spatial resolution needed for your analysis. More points provide better resolution but increase computational overhead.

  • Can points be placed outside the computational domain?

    No, points must be positioned within the computational domain to provide valid results.

🐍 Python Example Usage

 
import flow360 as fl

# Create a single point at the leading edge
leading_edge_point = fl.Point(
    name="leading_edge",
    location=(1.0, 0.5, 0.0) * fl.u.m
)

# Create a point array for wake analysis
wake_profile = fl.PointArray(
    name="wake_profile",
    start=(0, 0, 0) * fl.u.m,
    end=(5, 0, 0) * fl.u.m,
    number_of_points=10
)