Acoustic shaping of imperfect shells

Using sound to sculpt defects into thin shells

Dates
2023–2026
Collaborators
Ilyes Krida, Leo Mangalath, Daniel Floryan (Houston); Jacob Tang (USC)
A silicone hemispherical shell with vibration-induced surface bumps
A thin silicone shell cast on an acoustically vibrated mold, imprinted with a pattern of thickness imperfections.

Thin curved shells (a beetle's carapace, an eggshell, a pressure vessel, a rocket fairing) achieve exceptional stiffness-to-weight ratios, but that performance carries a well-known liability: their load-bearing capacity is acutely sensitive to geometric imperfections. A defect on the order of the shell thickness can trigger sudden, catastrophic buckling at a small fraction of the classical critical load. The phenomenon has resisted a clean treatment for over a century, and shells are still designed with empirical "knockdown factors" that deliberately discount the theoretical strength.

The canonical experimental approach casts desktop-scale silicone hemispheres with a deliberately introduced defect. Nearly all such work imposes a single, localized dimple, whereas the imperfections in manufactured structures are distributed across the surface in spatially extended patterns. A controlled route to shells carrying realistic, distributed imperfections has been missing.

Sculpting with sound

We generate these distributed patterns through forced vibration. A compliant rubber mold is first built up by repeatedly coating a metal sphere with silicone until it is thick enough to vibrate as a stiff elastic body. It is then mounted on an audio speaker and coated with a thin layer of liquid silicone. Driving the speaker at a single frequency excites a standing-wave mode of the mold, with stationary nodal lines and antinodes of maximum displacement. The uncured silicone redistributes in response, and as it crosslinks over roughly twenty minutes the resulting flow field is locked into a permanent thickness profile.

Fabrication protocol: a metal sphere is repeatedly coated to form a thick elastic mold; the mold is mounted on a subwoofer and a thin silicone layer is cast while driving at frequency f and volume v, producing a hemispherical shell with surface bumps
The fabrication protocol. A metal sphere is repeatedly coated to build a thick elastic mold; the mold is mounted on a subwoofer and a thin silicone layer is cast onto it while the speaker is driven at a chosen frequency (f) and volume (v), imprinting a pattern of thickness bumps into the cured shell.

A counterintuitive flow

One might expect the high-amplitude antinodes to expel fluid; instead, silicone accumulates precisely there. The mechanism is acoustic streaming: an oscillatory flow rectifies, through nonlinear inertial effects in the boundary layer, into a steady secondary circulation (the same class of mean flow responsible for the particle migration in Chladni-plate experiments). This steady streaming transports material toward the antinodes and retains it.

Cross-section schematic of the steady streaming flow in the liquid silicone over one vibration wavelength, with streamlines and pressure, alongside photographs of silicone gathering at the antinodes
The streaming mechanism. Over one wavelength of the mold's vibration, the secondary streaming flow (streamlines and pressure shown) drives liquid silicone toward the antinodes; the photographs below capture the accumulating bumps.

We confirmed the picture directly. Projecting a laser sheet onto the vibrating mold locates the nodes and antinodes from above, and the silicone is seen to gather exactly at the antinodes (where the vibration amplitude is largest), not the nodes.

Overhead views of the vibrating mold with a laser sheet, showing silicone accumulations aligned with the antinode positions of the standing-wave mode
Overhead imaging with a laser sheet. The accumulations of silicone coincide with the antinodes of the mold's standing-wave mode, confirming that material collects where the vibration is strongest.

Two control parameters

The pattern and its amplitude are governed by two independent inputs:

  • Frequency selects which mode of the mold is excited, and therefore the number of antinodes: tuning the drive frequency produced shells with rings of six, eight, and ten bumps.
  • Drive amplitude sets the magnitude of the imperfection, continuously scaling the deviation from a uniform thickness.

The measured thickness patterns track the finite-element mode shapes closely. At 153, 167, and 210 Hz the mold rings in modes with six, eight, and ten antinodes respectively, and the azimuthal intensity profiles of the fabricated shells match the simulated modes peak for peak.

At 153, 167 and 210 Hz: finite-element mode shapes, the measured thickness fields of the fabricated shells, and azimuthal intensity profiles comparing experiment and simulation, showing six, eight and ten bumps
Selecting the pattern by frequency. At 153, 167, and 210 Hz the mold excites modes with six, eight, and ten antinodes; the fabricated shells (middle) reproduce the simulated mode shapes (top), and their azimuthal intensity profiles match the simulation (bottom).

Altering the mold geometry itself accesses a broader family of patterns. Embedding triangular, square, or pentagonal protrusions in the mold makes silicone collect at the vertices, producing configurations with odd azimuthal symmetry that the axisymmetric hemisphere cannot support.

Shells cast on molds with hexagonal, pentagonal, square, and triangular protrusions, each producing bumps at the polygon vertices
Shaping by the mold. Polygonal protrusions (hexagon, pentagon, square, triangle) make the silicone accumulate at their vertices, giving imperfection patterns, including odd-symmetry ones, beyond the modal rings.

Measuring the imperfections

To quantify each shell we reconstruct its full thickness field photometrically: placed on an LED panel and photographed from above, the transmitted intensity at each point scales inversely with the local thickness, so a single image yields the thickness everywhere.

Schematic defining shell thickness between inner and outer surfaces relative to a perfect shell, and the imaging rig with a digital camera above a shell specimen on an LED panel
Measuring thickness by transmission. The local thickness is the gap between inner and outer surfaces relative to a perfect shell (left); each shell is backlit on an LED panel and photographed from directly above (right).

The photometric reconstruction agrees closely with destructive cross-sectional measurements and is reproducible across nominally identical samples.

A reconstructed thickness map of a shell with eight bumps, and a plot of normalized thickness versus polar angle comparing the photographic reconstruction with destructive measurements
A reconstructed thickness field (left) and its agreement with destructive measurements along a meridian (right): the non-contact photographic method recovers the imperfection profile accurately.

Buckling

Under quasi-static vacuum loading, buckling strength decreases monotonically with imperfection amplitude. Across all three modal families, the knockdown factor falls as the drive volume (and hence the bump amplitude) increases, while the pre-buckling stiffness stays essentially unchanged. The imperfections therefore act selectively on the critical load, giving a continuously tunable handle on imperfection sensitivity that single-dimple protocols cannot provide.

Normalized pressure-volume buckling curves at three frequencies and increasing drive volumes, with knockdown factor and stiffness plotted against speaker volume
Buckling response. Pressure-volume curves (top) show earlier, weaker buckling as the drive volume rises; the knockdown factor (bottom) decays with imperfection amplitude across all three modal families, while the pre-buckling stiffness is largely unaffected.

Significance

The method offers shell researchers a scalable, inexpensive way to fabricate the complex, distributed imperfections characteristic of real structures, with on-demand control of their severity. More broadly, it constitutes a general strategy for patterning soft materials: by treating spatial thickness variation as a design degree of freedom rather than a flaw, the same approach can prescribe where a soft surface preferentially bends, snaps, or morphs, with applications to shape-morphing surfaces, soft robotics, and bioinspired design.

Supported by NASA MIRO (IDEAS², grant 80NSSC24M0178), the University of Houston GEAR program, and the Air Force Office of Scientific Research (FA9550-25-1-0173).

Related publications

  1. Krida I, Tang J, Mangalath L, Floryan D, Chen T. Vibration-assisted fabrication of thin shells with spatially distributed imperfections. Nature Communications (2026). PDF