Research Multiphase and index-matched flows
Tomo-PTV of buoyancy driven spheres
A small acrylic ball rises through a tank of salt water. It zigzags, speeds up, slows down, and trails vortices behind it. To measure the forces doing that, we first had to make the sphere invisible, then find it again.
The experiment in four numbers
Results
Size changes the wake and the path
Same liquid, same material, three diameters. Watch what the wake does.
For the specialist
ReT ≈ 2880, 2170 and 1760 for d = 11.11, 9.53 and 7.93 mm. The two smaller spheres show the canonical two-ring (2R) regime: symmetric, periodic, phase-locked shedding with lift alternating about zero. |V₁₁| > |V₉| > |V₇| and Fd,11 > Fd,9 > Fd,7. Each recording covers roughly half a shedding cycle, a limit set by camera resolution rather than by the method.
Increasing diameter changes both wake structure and trajectory response. The largest sphere shows the strongest asymmetric wake.
Results
Flow and pressure around a rising sphere
One rise of the 11.11 mm sphere, with its wake, speed and forces on the same clock.
- Drag peaks while the vortex threads stay attached, and collapses when they let go.
- Lift swings come from a lopsided wake pulling on one flank.
- These are measured forces, not modelled ones.
For the specialist
Forces are obtained by integrating the reconstructed surface pressure, F = −∮ p n dS, so they represent the dynamic component only (buoyancy is not included). For the 11.11 mm sphere (ReT ≈ 2880, m* = 0.65) the wake shows a primary and a secondary vortex ring per half-cycle, the asymmetric four-ring (4R) mode of Horowitz & Williamson (2010), with the sphere sitting near the 2R/4R boundary. The measured drag history is phase-locked to the attachment and pinch-off of the streamwise vortex threads; the transition from thread to rings at H–I is observed here for the first time as it happens.
Tomo-PTV connects the sphere trajectory, wake topology, pressure field and instantaneous forces.
Key idea
Refractive index matching: a blessing and a curse
A 62% sodium iodide solution has the same refractive index as acrylic, so light goes straight through the sphere.
A blessing
No refraction, so we can resolve the flow right up to the surface.
A curse
No edge, no silhouette, nothing left to tell us where the sphere is.
For the specialist
Working fluid 62 wt% NaI, density 1820 kg/m³, kinematic viscosity 1.1 × 10⁻⁶ m²/s, refractive index 1.489. Tracers: Rhodamine-B-coated PMMA, 1–20 µm, imaged through 550 nm long-pass filters. Acrylic spheres of 6.35–12.7 mm and density ratio m* = 0.65, released from a 400 mm pipe so they reach terminal velocity before entering the 110 × 75 × 25 mm measurement volume. ReT = 1500–3500, Ga = 848–2397. Tracks from Shake-The-Box, Eulerian fields by VIC#, pressure by GPU Omni3D integration.
RIM gives optical access, but hides the body.
Sphere detection
The clues to the sphere
An invisible sphere still leaves three fingerprints. Scored together, they give its centre.
The cost function J of x equals D of x, a tracer-density term, plus w one times the outer minus inner vertical velocity, plus w two times the inner minus outer Q-criterion.
Minimising this cost function for x yields the sphere centre.
For the specialist
The cost function J(x) = D(x) + w₁[−Vinner + Vouter] + w₂[Qinner − Qouter] combines normalised tracer density in a sphere of radius R, mean vertical velocity in the upper hemisphere within 1.1R against a shell between 1.5R and 2R, and mean Q-criterion inside against a shell out to 2.5R. It is minimised by Polak–Ribière conjugate gradients with a backtracking line search. Weights w₁ = 3.08 and w₂ = 4.42 were calibrated for stable, jitter-free convergence. Positional uncertainty from the Hessian of J at the minimum: mean 0.7–1.2% d, worst case below 0.08 d; robust to ±10% weight changes, 25% search-radius changes and 10% added noise.
The output is a time-resolved sphere centre used for trajectory, pressure and force.
Read the papers
International Journal of Multiphase Flow 197, 105597 (2026), open access
On the application of refractive index matching to study the buoyancy-driven motion of spheres
Companion method paper: Dynamic masking for boundary-aware velocity reconstruction in volumetric particle tracking with moving solids — Measurement Science and Technology (2026), accepted. Jibu Tom Jose, Arieh Jacobson, Dhanush Vittal Shenoy, Steven H. Frankel and Omri Ram. Code on GitHub, data on Zenodo.
How that reconstruction works, in plain language and without the mathematics, is the subject of its own page: Seeing the flow right next to a moving body.
This work was partially funded by the American Chemical Society Petroleum Research Fund (grant 65901-ND9). Jibu Tom Jose was supported by a Technion postdoctoral fellowship.
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If this is the kind of problem you want to spend a few years on, we would like to hear from you.