Abstract
Acoustic lenses are employed in a variety of applications, from biomedical imaging and surgery to defense systems and damage detection in materials. Focused acoustic signals, for example, enable ultrasonic transducers to image the interior of the human body. Currently however the performance of acoustic devices is limited by their linear operational envelope, which implies relatively inaccurate focusing and low focal power. Here we show a dramatic focusing effect and the generation of compact acoustic pulses (sound bullets) in solid and fluid media, with energies orders of magnitude greater than previously achievable. This focusing is made possible by a tunable, nonlinear acoustic lens, which consists of ordered arrays of granular chains. The amplitude, size, and location of the sound bullets can be controlled by varying the static precompression of the chains. Theory and numerical simulations demonstrate the focusing effect, and photoelasticity experiments corroborate it. Our nonlinear lens permits a qualitatively new way of generating high-energy acoustic pulses, which may improve imaging capabilities through increased accuracy and signal-to-noise ratios and may lead to more effective nonintrusive scalpels, for example, for cancer treatment.
Keywords: acoustic focusing, nonlinear dynamics, solitary waves, sonic imaging, granular crystals
Acoustic fields enable nonintrusive inspection of condensed matter, detection and even thermal excitation via energy focusing. Biomedical imaging (1, 2), detection of underwater objects (3) or damage in materials (4), and hyperthermia surgery via nonintrusive scalpels (5–7) stand as prominent examples. The focusing of acoustic waves at a desired location is usually realized with electromechanical transducers and methods such as geometric focusing (4), time-reversal focusing (8), or beamforming via phase lags (5, 9, 10). In geometric focusing, the transducers’ geometry is exploited to focus signals. In time-reversal and beamforming methods, appropriate phase delays among acoustic signals are used to focus them in a desired region. Each method is limited by its reliance on actuators, which are incapable of generating compact, nonoscillatory, and high-amplitude signals, typically resulting in cumbersome and application-specific devices. Recently, acoustic metamaterials (11) as well as superlenses (12) and hyperlenses (13) aimed at improving spatial resolution have been introduced. However, their continued reliance on linear wave dynamics limits their spatial accuracy, energy intensity, and dynamic focus control.
Here we introduce an acoustic lens that uses nonlinear wave dynamics to accurately focus high-amplitude acoustic signals, achieving a transient focal region of higher energy density than previously possible. The position, amplitude, and frequency content of the focal region in an adjacent solid or fluid host medium are dynamically controllable. The acoustic lens consists of an array of nonlinear transducers based on discrete power-law materials (e.g., chains of spherical particles) (Fig. 1A). In contrast to linear elastic materials in which force F and deformation δ obey the relation F = kLδ, with stiffness constant kL, discrete power-law materials do not support tensile forces and feature an unusual behavior described by F = kNδn, with stiffness constant kN and power-law exponent n > 1. The nonlinearity of the force-deformation relation makes discrete power-law materials a host for compact acoustic waves, which are stable and have easily controllable behavior (14–18). We take advantage of these characteristics to modify incoming acoustic waves into compact, high-amplitude pulses within the lens (see insets in Fig. 1A). These pulses can subsequently be focused in an adjacent fluid or solid host medium.
Fig. 1.
Nonlinear acoustic lens. (A) Prototype consisting of 21 independent chains, each composed of 21 steel spheres and employed as the wave-modulation component (density ρ = 8100 Kg/m3, Young’s modulus E = 195.6 GPa, and diameter D = 9.5 mm). Numerical simulation of the prototype shows it to be capable of supporting single solitary waves (Upper Left Inset), trains of solitary waves (Upper Center Inset), and shocks (Upper Right Inset). (B) The phase velocity Vs of waves with force amplitude Fm traveling in the acoustic lens strongly depends on the initial strain state determined by static precompression force F0. The gray shaded region of the parameter space indicates where the response is weakly nonlinear. (C) Because the phase velocity depends on F0, the distribution of F0 may be chosen to focus acoustic energy into a sound bullet. The position of the focus lies on the len’s symmetry axis f(x1,y1) when F0 is symmetric about it (dashed blue line) or off the symmetry axis f(x2,y2) when F0 is asymmetric (solid red line).
Power-law materials such as arrays of spherical particles can support linear, weakly nonlinear, and highly nonlinear wave dynamics, depending on the initial strain state of the material, which can be controlled by a static precompression force F0 (Fig. 1B) (14). For incoming signals leading to low particle interaction forces Fm such that Fm ≪ F0, the resulting wave field is linear. If Fm ≈ F0, the wave field is characterized by the classic weakly nonlinear soliton solutions of the Korteweg–De Vries equation (14, 19), whose phase velocity Vs depends on wavelength and amplitude (20). The weakly nonlinear regime is depicted as the gray shaded area in Fig. 1B.
If Fm≫F0, the wave field is highly nonlinear: No linear spatial derivatives are present in the governing equation in the continuum limit (14). The wave field consists of combinations of compact solitary waves, whose wavelength is constant (approximately five sphere diameters) and whose phase velocity depends on their amplitude (14, 15). Short input signals lead to a single solitary wave; longer inputs lead to a train of solitary waves or shock-like structures (see insets in Fig. 1A) (14, 21, 22). Solitary waves travel with a phase velocity Vs that depends on the maximum dynamic force Fm and the static precompression force F0 (14, 18, 23). The frequency content of the wave field is proportional to ksVs, with a wavenumber ks that depends on properties of the power-law material (14). The frequency content can be controlled by controlling Vs through F0. Here we use chains of spheres as a simple representation of a nonlinear medium with constitutive-law exponent n = 3/2 (14, 15, 24).
We designed a nonlinear acoustic lens by assembling chains of spheres into an array. The individual chains in the array were precompressed differentially such that an acoustic signal with fixed phase incident on the lens results in transmitted waves with phase delays. The precompression and phase delays were chosen so that the individual waves transmitted by each chain coalesce at a focal point in the adjacent host medium (Fig. 1C). For an impulsive input to the lens, Fig. 2 illustrates the phase delays (Fig. 2A), transmitted waves shortly after their generation (Fig. 2B), and the focusing of the acoustic energy in the host medium, with a symmetric pressure distribution with one maximum and one minimum (Fig. 2C). These are obtained from analytical calculations with air as the host medium (see equations in SI Text). The acoustic energy in the host medium is focused into a “sound bullet”—a traveling, compact region of high energy density. Sound bullets result from the coalescence of acoustic waves, which have frequencies in the audible range for the lens parameters we chose. The individual waves transmitted by the nonlinear acoustic lens are compact. They consist of a single wave crest for an input of short duration. This characteristic of the transmitted waves leads to the compact nature and accurate focusing of sound bullets. In contrast to optical bullets that are theorized to reside in optically dispersive media (25, 26), sound bullets arise when solitary waves created within a nonlinear granular medium coalesce in a linear nondispersive medium. This makes sound bullets feasible in a variety of host media.
Fig. 2.
Results of analytical calculations in support of the lens design. (A) Time delay distribution (see equation in SI Text) necessary to obtain a focal point in air at (xf = 13 cm, yf = 0 cm), along the len’s symmetry axis. (B) Schematic of the wave field shortly after generation (Upper, lines of constant phase in red and ray paths in blue), and analytical solution for pressure field (Lower, from Eq. 3). (C) Wave field and analytical solution for pressure at a later time, when the acoustic energy coalesces at the focal point. The resulting sound bullet is composed of a symmetric pressure maximum and minimum.
The analytical calculations on which Fig. 2 is based assume perfectly circular wave fronts radiating from an idealized interface between the lens and the host medium. To test to what extent the analytical results carry over to a more realistic setting, we use numerical simulations with a fluid-structure-interaction (FSI), finite-element (FE) model coupled to a discrete-particle (DP) model (see SI Text). The simulated acoustic lens is identical to the prototype illustrated in Fig. 1A, with an incident pulse generated by impact with a conformal striker. For a striker with an impact velocity of 1 ms-1 and a mass equal to that of 21 spheres, the resulting pressure field in air for a focal point (xf = 9 cm, yf = 7 cm) is shown in Fig. 3A, along with the required time delay. The sound bullet, formed off axis because of the selected asymmetric precompression schedule, attains a maximum pressure pB ≈ 79 Pa, corresponding to 38 dB [dB = 20 log 10(p/p0), with a reference pressure p0 = 1 Pa (27)]. The pressure distribution at the focal point agrees qualitatively with that predicted analytically (see Eq. 3 in Materials and Methods) in that both the wavelength and double-peaked shape agree (inset in Fig. 3A).
Fig. 3.
Results of numerical simulations of the interaction of the lens with air as the host medium. (A) A sound bullet away from the len’s symmetry axis results from an asymmetric delay distribution (Left Inset). The pressure history at the focal point (xf = 9 cm, yf = 7 cm) is shown in the right inset and agrees qualitatively with the analytical prediction (dashed red line, from Eq. 3). (B) The rms pressure field illustrates that the sound bullet can travel finite distances while retaining its compact shape (see the width of the region of large pressure fluctuations). (C) A focal point at infinity (xf = ∞ cm, yf = 0 cm), or a traveling compact planar wavefront, can be generated by zero or uniform precompression on each chain.
Because the sound bullet is a superposition of compact waves, it propagates in the vicinity of the focal point at the speed of sound of the host medium, as long as the individual compact waves that comprise the sound bullet interfere constructively. The distance over which this is the case depends on the curvature of the phase delay distribution and hence is controllable, along with the focal length, by the static precompression. In the numerical simulations, the distance traveled is evident in the rms pressure field and is on the order of the focal length (Fig. 3B). If we vary the focal length by varying the precompression, we can also obtain, for example at zero or uniform precompression, a focal point at infinity, or a compact planar wavefront (Fig. 3C).
The generation of stable and compact solitary waveforms seen in these results arises because nonlinearity and dispersion balance in the lens (14, 15). The stability and compactness are retained even if the input amplitude is increased, making it possible to produce arbitrarily large signals within the lens as long as the force-deformation power law is unaltered. As a consequence, the pressure amplitude of sound bullets generated with our lens increases as the impact velocity v0 increases. For example, with v0 = 4 ms-1, the resulting sound bullet attains a pressure amplitude of 675 Pa, corresponding to 57 dB—two orders of magnitude greater than what is achievable with linear acoustic lenses (1–4, 11, 27).
To corroborate our analytical and numerical results, we performed experiments to demonstrate the focusing of pressure waves in a solid host medium (a polycarbonate plate) (Fig. 4A). To compare with the experimental results, we extended the analytical calculations and the numerical DP/FE simulations to account for stresses and strains in solids (see SI Text). The DP/FE model suggests that the large striker mass (longer contact duration) used in the experiments leads to shock-like waves propagating within the lens (Fig. 4B), in place of the single solitary wave generated with a small striker mass (shorter contact duration) (Fig. 1A). We chose the precompression (see figures in SI Text) to obtain a focal point in the polycarbonate plate 10 cm from the len’s edge on its symmetry axis (Fig. 4A), and we visualized the focused waves in the experiments by measuring photoelastic fringes in the polycarbonate plate. The photoelastic fringes produced by the dynamic stress in the plate were captured with a black-and-white high-speed camera and compared to the DP/FE model. Numerical simulations indicated that the stress along the symmetry axis at the focal point has a shock-like profile (Fig. 4C), and this was used to guide the image acquisition system. The numerically simulated photoelastic stress fringes agree qualitatively with those obtained experimentally (Fig. 4D). Subtle misalignment of the striker, spheres, and midplane of the plate produced other wave modes that affect the experimentally measured photoelastic fringes. Nonetheless, a clear stress concentration is observed, reaching the focal point only ≈5% later in the experiments than in the numerical simulation (Fig. 4D).
Fig. 4.
Comparison of experiments and numerical results. (A) Schematic diagram representing the photoelastic experiment carried out to observe stress focusing within a polycarbonate plate. (B) The waves within the lens are computed to be shock-like structures due to the large impacting mass used experimentally to generate the input. The red line corresponds to waves in the most compressed chain at the extremes of the lens (1 and 21). The black line indicates waves in the uncompressed chain in the middle of the lens (11). (C) The computed stress component σy at the focal point shows the coalescing of pressure waves at t = 0.58 ms. The area shaded in gray indicates the presence of reflected waves from the bottom portion of the photoelastic plate. (D) Experimentally captured photoelastic fringes and equivalent field computed with a FE model provide qualitative agreement. The arrows point to the location of the focal point.
The nonlinear acoustic lens provides a more compact focal region than is achievable with an array of linear sources, especially when operating in the transient regime (e.g., generating single sound bullets). These improvements stem from the nonoscillatory and compact nature of signals transmitted by our lens (see Eq. 1 in Materials and Methods), which is not achievable with traditional linear devices. It is possible that our lens design may be further improved by employing nonlinear media with a higher constitutive-law exponent n, as the wavelength of solitary waves scales as
(14) with a as the particle size, so that greater n may lead to a sharper focus.
The nonlinear lens expands the capabilities of existing acoustic transducers. The chains of particles composing the lens transform a given incident acoustic signal into either a single pulse or trains of pulses (compact solitary waves), which are tunable by mechanical means. The phase velocity of the waves within the lens can be controlled by adjusting the static precompression of each chain, whereas the wavelength is determined by the size of the particles. These characteristics allow the focusing of waves transmitted into a solid or fluid host medium and the generation of compact sound bullets of very large amplitudes (here we demonstrated up to 57 dB amplification at the focus). Sound bullets can travel finite distances in the host medium while retaining their compact shape. Such compact, transient pressure pulses were not achievable with previously available technologies, which only allow oscillatory signals. The acoustic lens can also be used as an effective filter, capable of controlling the frequency content of the pressure field in the focal region by controlling the precompression. Acoustic lenses like the one we demonstrated have the potential to dramatically impact a variety of applications, such as biomedical devices, nondestructive evaluation, and defense systems. For example, sound bullets may conceivably be used as a noninvasive scalpel to accurately target tumors in hyperthermia applications.
Materials and Methods
Analytical Model.
In the continuum limit (long wavelength compared to the sphere diameter), the solitary waves are thought to have the compact structure (see ref. 14)
![]() |
[1] |
with argument
| [2] |
Here, u is the displacement of a material point, and x and t are the spatial and temporal coordinates. For a given particle size, the wavenumber ks is a constant, i.e.,
(14). The index n indicates a particular chain of spheres within the lens.
In our theoretical analysis, we consider the focusing properties of the nonlinear acoustic lens in solid and fluid host media, limiting the study to the case Fm≫F0. The interactions between the individual granular chains and the host medium are assumed to be contact interactions of solid spheres with either a solid half space or thin metal plates separating the spheres themselves from a fluid half space. In both cases, we assume the mechanical disturbances to be perceived as point sources by the linear isotropic host medium. Geometric or ray acoustics (20) can then be used to estimate the phase delay distribution Δtn necessary to focus energy at a desired location (xf,yf) (see equations in the SI Text).
In the case of a fluid host medium, assuming that the displacement of each thin metal plate is represented by the same function as that describing a solitary wave (Eq. 1) with amplitude An, yields the pressure field (see equations in the SI Text)
![]() |
[3] |
This pressure field is nonzero only where ksϕn ∈[-π/2,π/2]; it is zero otherwise. Here ρ is the density of the host medium, c is the linear speed of sound in the host medium, and the factor a is a small coordinate shift to avoid singularities in the linear solution at the lens-host medium interface. Because the pressure amplitude cannot easily be obtained analytically, we fix aAn = constant in Eq. 3 to match numerical simulations. In Eq. 3, N is the number of chains composing the lens,
, and ϕn = Vs,n(rn/c - a/c - t + Δtn).
Numerical Model.
The FSI model is employed to evaluate the interaction of moving thin metal plates and the fluid host medium. Both air and the particles in the lens are assumed initially at rest, and, for simplicity, the pressure at the boundaries is assumed zero (corresponding to assuming the fluid to be confined to a closed box); this explains the reverberation seen in Fig. 3A. The DP model treats each sphere as a point mass, and the contact between any two spheres is represented as a spring of stiffness determined by Hertz contact theory (14–18, 24).
Experimental Methods.
The experimental prototype of the acoustic lens (Fig. 1A) is made of aluminum 6061-T051 and measures 30.5 × 23 × 7.6 cm. It accommodates 21 chains each composed of 21 stainless steel spheres (see properties listed in the table in SI Text). Each chain was independently statically precompressed by a different force F0, and the chains were separated from each other with stainless steel shim stock of thickness 0.15 mm. The inside surfaces of the lens casing were lined with Teflon sheets to minimize friction. The front and back sides of the lens casing feature slots (see figure in SI Text) to accommodate individual strands of fishing line used to precompress each chain. The topmost sphere of each chain was threaded with fishing line and was secured to one side of the lens casing, to which weights were connected. Water bottles with variable water content were used to provide the necessary resolution in setting the precompression weights (see figure in SI Text for the required time delay and associated precompression forces). The assembled lens was set vertically on a polycarbonate plate (see table in SI Text) of dimension 25 × 25 × 1.9 cm, which in turn rested on a table (see figure in SI Text).
Upon applying the differential precompression, the lengths of the chains differed, posing a challenge in imparting mechanical energy to all chains simultaneously. The adopted solution consisted of drilling holes in the first sphere of each chain to accommodate a 2.5-cm-long screw. The impacting plate was modified by adding 21 holes (2.5 cm in depth, 1 cm in diameter) to accommodate the screws protruding from each sphere. The holes were then filled with a two-part CASTAMOUNT acrylic resin from Pace Technologies. In this manner, the contact edge of the striker plate aligned with the top portion of each chain (see figure in SI Text). Finally, the camera was triggered using a PCB Piezotronics, Inc. accelerometer placed on the top portion of the striker assembly.
With the DP/FE model as guidance, a Vision Research, Phantom V12 high-speed camera was triggered 280 μs after impact. The black-and-white camera was set to acquire images at 300,000 samples per second, plus a reference image (25 × 10 cm) of the polycarbonate plate at rest (see figure in SI Text). To remove the shadows of the fishing line and to enhance the visible photoelastic fringes, the reference image was subtracted from each acquired frame.
Supplementary Material
Acknowledgments.
The authors thank Vitali F. Nesterenko for initial discussions, Tapio Schneider for helpful suggestions, and Veronica Eliasson for valuable experimental insight. Funding from the Army Research Office (Grant 54272-EG) and National Science Foundation (Materials Research Science and Engineering Center at the California Institute of Technology and NSF-CMMI-0806762-CAREER) is also acknowledged.
Footnotes
The authors declare no conflict of interest.
This article contains supporting information online at www.pnas.org/cgi/content/full/1001514107/DCSupplemental.
References
- 1.Fatemi M, Greenleaf JF. Ultrasound-stimulated vibro-acoustic spectrography. Science. 1998;280(5360):82–84. doi: 10.1126/science.280.5360.82. [DOI] [PubMed] [Google Scholar]
- 2.Huang HK, Dhawan AP, Kim DS. Principles and Advanced Methods in Medical Imaging and Image Analysis. Hackensack, NJ: World Scientific; 2008. pp. 129–149. [Google Scholar]
- 3.Buckingham JM, Berknout VB, Glegg SAL. Imaging the ocean with ambient noise. Nature. 1992;356:327–329. [Google Scholar]
- 4.Kushibiki J, Chubachi N. Material characterization by line-focus-beam acoustic microscope. IEEE Trans Son Ultrason. 1985;32(2):189–212. [Google Scholar]
- 5.Ebbini ES. Multiple-focus ultrasound phased-array pattern synthesis—optimal driving-signal distributions for hyperthermia. IEEE Trans Ultrason Ferr. 1989;36(5):540–548. doi: 10.1109/58.31798. [DOI] [PubMed] [Google Scholar]
- 6.Dickson JA, Calderwood SK. In vivo hyperthermia of yoshida tumour induces entry of non-proliferating cells into cycle. Nature. 1976;263:772–774. doi: 10.1038/263772a0. [DOI] [PubMed] [Google Scholar]
- 7.Shellman YG, et al. Hyperthermia induces endoplasmic reticulum-mediated apoptosis in melanoma and non-melanoma skin cancer cells. J Invest Dermatol. 2007;128(4):949–956. doi: 10.1038/sj.jid.5701114. [DOI] [PubMed] [Google Scholar]
- 8.Fink M. Time-reversal of ultrasonic fields 1. Basic principles. IEEE Trans Ultrason Ferr. 1992;39(5):555–566. doi: 10.1109/58.156174. [DOI] [PubMed] [Google Scholar]
- 9.Dudgeon DE. Array Signal Processing: Concepts and Techniques. Upper Saddle River, NJ: Prentice-Hall; 1993. pp. 115–188. [Google Scholar]
- 10.Van Veen KD, Buckley KM. Beamforming: A versatile approach to spatial filtering. IEEE ASSP Mag. 1988;5(2):4–24. [Google Scholar]
- 11.Håkansson A, Cervera F, Sánchez-Dehesa J. Sound focusing by flat acoustic lenses without negative refraction. Appl Phys Lett. 2005;86:054102. [Google Scholar]
- 12.Zhang X, Liu Z. Superlenses to overcome the diffraction limit. Nat Mater. 2008;7:435–441. doi: 10.1038/nmat2141. [DOI] [PubMed] [Google Scholar]
- 13.Li J, Fok L, Yin X, Bartal G, Zhang X. Experimental demonstration of an acoustic magnifying hyperlens. Nat Mater. 2009;8:931–934. doi: 10.1038/nmat2561. [DOI] [PubMed] [Google Scholar]
- 14.Nesterenko VF. Dynamics of Heterogeneous Materials. New York: Springer; 2001. pp. 1–136. [Google Scholar]
- 15.Nesterenko VF. Propagation of nonlinear compression pulses in granular media. J Appl Mech Tech Phys. 1983;24(5):733–43. [Google Scholar]
- 16.Porter MA, Daraio C, Szelengowicz I, Herbold EB, Kevrekidis PG. Highly nonlinear solitary waves in heterogeneous periodic granular media. Physica D. 2009;238(6):666–676. doi: 10.1103/PhysRevE.77.015601. [DOI] [PubMed] [Google Scholar]
- 17.Sen S, Hong J, Bang J, Avalos E, Doney R. Solitary waves in the granular chain. Phys Rep. 2008;462(2):21–66. [Google Scholar]
- 18.Daraio C, Nesterenko VF, Herbold EB, Jin S. Tunability of solitary wave properties in one-dimensional strongly nonlinear phononic crystals. Phys Rev E. 2006;73(2):26610. doi: 10.1103/PhysRevE.73.026610. [DOI] [PubMed] [Google Scholar]
- 19.Korteweg DJ, De Vries G. On the change of form of long waves advancing in a rectangular canal, and on a new type of long stationary waves. Phil Mag Lett. 1895;39(5):422–443. [Google Scholar]
- 20.Witham GB. Linear and Nonlinear Waves. New York: Wiley Interscience; 1999. pp. 460–466. [Google Scholar]
- 21.Shukla A, Sadd MH, Tai QM. Influence of loading pulse duration on dynamic load transfer in a simulated granular medium. J Mech Phys Solids. 1993;41(11):1795–1808. [Google Scholar]
- 22.Zhu Y, Sienkiewicz F, Shukla A, Sadd MH. A comparison of explosively generated pulse propagation in assemblies of disks and spheres. J Eng Mech-ASCE. 1997;123(10):1050–1059. [Google Scholar]
- 23.Coste C, Gilles B. On the validity of hertz contact law for granular material acoustics. Eur Phys J B. 1999;7(1):155–168. [Google Scholar]
- 24.Johnson KL. Contact Mechanics. Cambridge UK: Cambridge Univ Press; 2003. pp. 84–94. [Google Scholar]
- 25.Silberberg Y. Collapse of optical bullets. Opt Lett. 1990;15(22):1282–1284. doi: 10.1364/ol.15.001282. [DOI] [PubMed] [Google Scholar]
- 26.Ponomarenko SA, Agrawal GP. Linear optical bullets. Opt Commun. 2006;26(1):1–4. [Google Scholar]
- 27.Håkansson A, Sánchez-Dehesa J, Sanchis L. Acoustic lens design by genetic algorithms. Phys Rev B. 2004;70:214302–214311. [Google Scholar]
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