# Time-averaging Slice Output

Time-averaging Slice Output in Flow360 allows you to calculate and visualize time-averaged flow variables on 2D cutting planes through the computational domain. This provides statistical data essential for analyzing unsteady flows while keeping file sizes much smaller than full volume outputs.

Note: Time-averaging outputs are only available when using unsteady time stepping methods.

# Available Options

Option Description Applicable
Output fields Flow variables to include in the output always
Output format Format for saving slice data always
Start step When to begin time-averaging always
Save interval When to save outputs always
Frequency How often to save outputs when Save interval is Custom
Frequency offset Time step at which to start the output animation when Save interval is Custom
Assigned slices Definition of slice planes always

# Detailed Descriptions

# Output fields

Select the flow variables to include in the slice output.

  • Default: None
  • Example: Mach, pressure, velocity

Notes:

  • See detailed field descriptions in the Slice Output page.
  • Only select fields you need to analyze to keep file sizes manageable.

# Output format

The file format used to save the slice output data.

  • Default: paraview
  • Options:
    • paraview
    • tecplot
    • both

Notes:

  • Choose the format that best suits your post-processing workflow.
  • Select paraview for .vtu format, tecplot for .plt format, or both to save in both formats.

# Start step

Specifies the physical time step to start calculating time averaging.

  • Default: -1 (automatic detection)
  • Example: 50

Note: Set this to begin averaging after initial transients have died out. When set to -1, the solver will automatically determine when to start averaging based on flow convergence.

# Save interval

Choose the points in the simulation where the results are saved.

  • Default: Save at end
  • Options:
    • Save at end
    • Custom

Notes:

  • Choose Save at end to save only the final results of the simulation.
  • Choose Custom to save the results in given intervals.

# Frequency

How often to save outputs, in number of physical time steps.

  • Default: -1 (only at end of simulation)
  • Example: 10

Note: Higher frequencies provide better temporal resolution but increase storage requirements.

# Frequency offset

The time step at which to start the output animation.

  • Default: 0 (beginning of simulation)
  • Example: 100

Note: Useful when you want to skip initial transient flow development.

# Assigned slices

Defines the 2D cutting planes through the computational domain.

  • Definition parameters:

    • Name: A unique identifier for the slice
    • Origin: The 3D coordinates of a point on the slice plane
    • Normal: The normal vector to the slice plane (does not need to be normalized)

  • Example:

    Name: "Midspan"
Origin: (0, 5, 0)
Normal: (0, 1, 0)

Note: Multiple slices can be defined, each with unique name, origin, and normal.

💡 Tips

Time-averaged slice output is particularly useful in the following scenarios:

  1. Analyzing unsteady flows: For flows with inherent unsteadiness (like vortex shedding, turbulent wakes, or separated flows), time-averaging on strategic slice planes provides mean flow statistics.

  2. Reducing storage requirements: Instead of saving many instantaneous snapshots, you can capture the statistical behavior with a single time-averaged result.

  3. Flow stability assessment: Time-averaged slices help determine if a flow has reached a statistically steady state in key regions, even if instantaneous values are fluctuating.

  4. Strategic slice placement: Position time-averaged slices at these key locations for maximum insight:

    • Wake regions to capture mean wake structures
    • Boundary layer regions to observe mean separation behavior
    • Shear layers to analyze mean mixing characteristics
    • Rotor disk planes for time-averaged BET analysis

# Visual Analysis Tips

When analyzing time-averaged slice data:

  • Compare with instantaneous slices at the same location to identify regions of high unsteadiness
  • Look for smoothed features in the time-averaged data that might be obscured by fluctuations in instantaneous snapshots
  • Create streamlines on time-averaged slices to visualize mean flow patterns
  • Use multiple slices at different positions to construct a 3D understanding of the mean flow field

❓ Frequently Asked Questions

  • When should I use time-averaged slices instead of instantaneous slices?

    Time-averaged slices are ideal when:

    • You're analyzing statistically steady turbulent flows
    • You need to filter out transient features or numerical noise
    • You want to reduce storage requirements while still capturing overall flow behavior
    • You're interested in mean flow characteristics rather than instantaneous snapshots
    • You need to identify average positions of features that move over time (e.g., shock waves, separation points)

  • How does the Start Step parameter affect my results?

    The Start Step parameter controls when the solver begins accumulating statistics for time-averaging:

    • Setting it too early may include unwanted transient effects in your averages
    • Setting it too late may not give enough time for statistical convergence
    • The automatic setting (-1) detects when force coefficients begin to oscillate around a mean value
    • For better control, monitor your force history and set it manually once transients have subsided

  • Can I get fluctuation intensity or RMS values from time-averaged slices?

    Currently, Flow360 time-averaged outputs include mean values only, not RMS or fluctuation intensities. To obtain these:

    • Export both instantaneous and time-averaged slice data
    • Post-process using ParaView/Tecplot to calculate RMS values
    • For turbulence quantities, consider using the k and omega fields which represent turbulent kinetic energy and specific dissipation rate

  • How many slices can I define for time-averaging?

    There is no hard limit on the number of slices you can define for time-averaging, but consider:

    • Each slice adds memory overhead during the simulation
    • Too many slices may impact performance
    • Start with strategically placed slices and add more if needed

  • Can I use both time-averaged and instantaneous slice outputs in the same simulation?

    Yes, you can define separate outputs for:

    • Time-averaged slices for statistical analysis
    • Instantaneous slices for capturing transient phenomena This approach provides comprehensive coverage of both mean flow characteristics and unsteady features.

🐍 Python Example Usage

 
# Example of configuring time-averaged slice output
from flow360 import u
import flow360 as fl

# Define time-averaged slice output settings
time_avg_slice = fl.TimeAverageSliceOutput(
    name="Time Averaged Wing Sections",
    output_format="paraview",
    slices=[
        fl.Slice(
            name="Root", 
            origin=(0, 0, 0) * u.m, 
            normal=(0, 1, 0)
        ),
        fl.Slice(
            name="Midspan", 
            origin=(0, 0.5, 0) * u.m, 
            normal=(0, 1, 0)
        ),
        fl.Slice(
            name="Tip", 
            origin=(0, 1.0, 0) * u.m, 
            normal=(0, 1, 0)
        )
    ],
    output_fields=["Mach", "pressure", "velocity", "Cp", "Cpt"],
    frequency=10,           # Save results every 10 time steps
    frequency_offset=100,   # Start saving at time step 100
    start_step=50           # Begin averaging at time step 50
)

# Add to simulation parameters
simulation_params = fl.SimulationParams(
    # ... other simulation parameters ...
    outputs=[time_avg_slice]
)

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