Planar & Round Jets: Analysis of Particle Motions & Statistics in High Reynolds Number flows


This study are based on our former CTO,  Dr. Peter Bernard’s presentation at the Institute of Mathematical Sciences (IMS).

Flows Considered:

  1. Turbulent blob created via short-time pulse of a planar jet.

  2. Co-flowing round jet.

Issues:

  1. Accuracy

  2. Effects of numerical parameters

  3. Insights into particle accelerations

Turbulent Blob – (from short time pulse of planar jet)

  • Orifice has unit width.

  • 20 layers of filaments.

  • Circulation corresponds to Poiseulle Flow.

  • 4 periodic extensions to either side used in computing velocities.

 Coflowing Round Jet

Coflows = 1/2, 1/3, 1/4, 1/10.5 layers around unit diameter orifice

Coflows = 1/2, 1/3, 1/4, 1/10.

5 layers around unit diameter orifice

 

Tracers in a round turbulent jet (coflow = ½)

 

Velocity Excess in Coflowing Round Jet vs. Streamwise Position

Uexcess = (Ucenterline – Ucoflow)/Ucoflow

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Numerical Parameters

  • h – tube length   

  • Δt  - time step

  • G  - circulation   

  • σ  - smoothing parameter in Biot-Savart Law 

  • d - criterion for loop removal 

 

Reynolds Number of a Turbulent Blob

  • h=0.005

  • Velocity data acquired on spanwise lines: typically, 625 lines, 2500

 

Statistics include:

  • velocity variances

  • longitudinal and transverse

2pt velocity correlation

functions → microscales

  • structure functions

Sp(r)=|u(x+r)-u(x)|p

  • 1D energy spectra points/line

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Two point longitudinal, f(r), and transverse, g(r), correlation functions – note the strong dependence on σ.

 

Symbols show consistency with the isotropy condition:

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1D Energy Spectra in Kolmogorov Units

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Statistics of Particle Accelerations

Tracers determined from fine-grained calculations at small Δt:

  • vortical field evolves with tracers.

Acceleration data acquired from sampling along paths:

  • mainly determined from derivative of piecewise parabolic fits to velocity data

Loop removal appears to create outlier events that add to (or cause)

  • Δt dependence of moments. However, PDF’s are relatively unaffected.

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Turbulent blob

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Coflowing round jet

Variance and flatness statistics:

 Δt = 0.005, σ = 0.005, 

varx = 3.72,  vary = 4.06,  varz = 3.69

fx = 28.4,  fy = 24.9,  fz = 21.9

 Re=546623   Rλ=442  ε= 0.016

a0 = varx  Re1/2  ε3/2     = 2.49

 

End on view of tracers in coflowing  round jet.

Note the intermittency

 

PDFs of fluid particle accelerations: coflowing round jet

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Acceleration auto-correlation for round jet

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Conclusions:

  • Grid free vortex filament simulations including loop removal as a de facto “subgrid” model provide a useful avenue for simulating complex high Reynolds number flows.

  • A small tube length is necessary for accurate Reynolds stress predictions.

  • The general consistency with Kolmogorov inertial range scaling allows for the determination of local Reynolds number Rλ.

  • For a given set of numerical parameters, Rλ can be expected to increase as σ decreases. In fact, Kolmogorov length scale ≈ 1/5 σ.

  • PDFs of fluid accelerations in the blob and round jet flows are consistent with physical experiments in other contexts.

  • Outlier events caused by loop removal complicate the determination of moments.