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Metallic Wavy Surfaces (MWS): Morphology and Applications

Updated 8 July 2026
  • Metallic Wavy Surfaces (MWS) are metallic interfaces with periodic corrugation used to control plastic accommodation, turbulence, and electromagnetic scattering.
  • They are defined by geometric parameters—such as amplitude, wavelength, and cusp height—with distinct profiles for explosive welding, turbulent flows, and THz reflectors.
  • MWS applications span explosive welding, drag modulation in turbulent flows, and THz non-line-of-sight links, enabling precise process control and improved signal security.

Metallic wavy surfaces (MWS) are metallic interfaces or exposed metallic surfaces with ordered or quasi-ordered waviness, used or observed in several technically distinct settings. In the cited literature, the term encompasses self-organized wavy interfaces formed during explosive welding, shallow sinusoidal walls introduced to modify turbulent boundary layers, and one-dimensional corrugated aluminum reflectors used to create non-line-of-sight terahertz links through Bragg-scattering lobes (Greenberg et al., 2016, Ghebali et al., 2017, Li et al., 2024, Li et al., 6 Aug 2025). Across these settings, MWS are characterized not by a single function but by a shared reliance on surface corrugation, interfacial excess area, or periodic geometry to control plastic accommodation, near-wall turbulence, or electromagnetic scattering.

1. Geometric forms and defining parameters

The literature uses closely related but not identical geometric descriptions for MWS. In explosive welding, the relevant quantities are the wave amplitude AA, wavelength λ\lambda, and splash height hsh_s defined on the bonded interface. In turbulent-flow studies, the wall is prescribed as a sinusoidal height field with amplitude AwA_w and projected wavelengths λx\lambda_x and λz\lambda_z. In terahertz studies, the reflector is a one-dimensional sinusoidal or cosinoidal corrugation with amplitude AA and spatial period Λ\Lambda (Greenberg et al., 2016, Ghebali et al., 2017, Li et al., 2024, Li et al., 6 Aug 2025).

Context Surface description Key parameters
Explosive welding Transition from cusps to quasi-waves to periodic waves AA, λ\lambda, λ\lambda0
Turbulent channel flow λ\lambda1 λ\lambda2, λ\lambda3, λ\lambda4, λ\lambda5
THz NLoS reflector λ\lambda6 or λ\lambda7 λ\lambda8 mm, λ\lambda9 mm

For explosive-welded interfaces, typical values from SEM are hsh_s0–hsh_s1, hsh_s2–hsh_s3, and hsh_s4–hsh_s5, with dimensionless roughness hsh_s6 and, for Cu–Ta, hsh_s7–hsh_s8 (Greenberg et al., 2016). In skewed-wavy-wall DNS, the mean flow makes an angle hsh_s9 with the wave crests, the streamwise-projected wavelength is AwA_w0, the spanwise-projected wavelength is AwA_w1, and the wave slope is AwA_w2 (Ghebali et al., 2017). In the THz work under rain, the aluminum MWS has AwA_w3 mm, AwA_w4 mm, and root-mean-square roughness AwA_w5 from the un-corrugated aluminum surface; in the covered-surface study, the corrugation is machined into a AwA_w6 high-purity aluminum plate with conductivity AwA_w7 and surface roughness AwA_w8 (Li et al., 2024, Li et al., 6 Aug 2025).

A plausible implication is that “MWS” is best treated as a morphology class rather than a single device class: the common structural motif is periodic or quasi-periodic metallic waviness, but the operative physics differ substantially across welding, wall-bounded turbulence, and THz scattering.

2. Explosive-welding MWS as a sequence of interfacial transition states

In explosive welding, MWS arise through a sequence of morphological transition states. Below the lower boundary of the weldability window, isolated cusps (“wedges”) of the harder metal penetrate the softer partner; these cusps are solid-phase, diffusionless, self-similar, and act as topological anchors. Near the lower boundary, the cusps evolve into “splashes,” described as solid-state protrusions resembling water splashes, with typical height AwA_w9–λx\lambda_x0 and lateral size λx\lambda_x1. Slightly above the lower boundary, these splashes coalesce into patches or rows, creating a “patchwork quilt” of quasi-waves with local wavelengths λx\lambda_x2 varying from λx\lambda_x3 to λx\lambda_x4 and amplitudes λx\lambda_x5–λx\lambda_x6. Fully into the weldability window, a more uniform, periodic wavy interface forms; for Cu–Ta, λx\lambda_x7–λx\lambda_x8 and λx\lambda_x9–λz\lambda_z0, whereas for Cu–Ti with intermetallics, waves contain embedded cusps (Greenberg et al., 2016).

Electron-microscope observations organize this sequence in detail. SEM of the Ta interface in a Cu–Ta joint shows isolated cusps after etching Cu away, then regularly spaced splashes at the lower boundary, and then splash groups whose contact regions seed larger-scale organization. As collision intensity increases, splashes align into rows and bands; the bands coalesce, and boundary splashes act as “zip-fastener” seeds, leading to sinusoidal relief. The role of mutual solubility is explicit: in insoluble systems such as Cu–Ta, waves are clean curves without cusps, whereas in soluble systems such as Cu–Ti, intermetallic particles “lock” cusps in the wave bodies, producing intermittent waves (Greenberg et al., 2016).

The proposed mechanism is plastic and self-organizing rather than hydrodynamically liquid in the ordinary sense. Collision pressures far exceed yield strengths, producing intense plastic deflection and an irreversible increase of the contact area. Upon pressure release, the non-equilibrium interface seeks to relax but must conserve an excess surface area; plastic flow at the collision front creates initial cusps, and neighboring splashes merge under lateral stresses and oscillating shock-wave interactions. Material properties, especially hardness, mutual solubility, and intermetallic precipitation, determine whether cusps lock into waves or unzip into a clean sinusoid (Greenberg et al., 2016).

The same source states that, although no detailed analytic model is presented in the paper, a generic energetic framework applies:

λz\lambda_z1

with bending contribution

λz\lambda_z2

and a critical wavelength analogous to wrinkling,

λz\lambda_z3

The details further give a perturbation-growth form

λz\lambda_z4

These relations are presented as a generic framework, not as a closed derivation of the explosive-welding process itself (Greenberg et al., 2016).

3. Imitation experiments, interface heterogeneity, and process control

Simulation and imitation experiments were devised to reproduce key geometric features of explosive-welding MWS. The setup used two plates—a ruler and a thin metal sheet—clamped at the ends, with ruler thickness λz\lambda_z5 mm and plate thickness λz\lambda_z6 mm. The ruler was bent to radius λz\lambda_z7–λz\lambda_z8 mm and then released. Cases included the plate glued to the tensile side, compressive side, or mid-line of the ruler, with different metals including Al, Cu, Pb, and Ta (Greenberg et al., 2016).

These experiments reproduced several motifs seen on welded interfaces. Plates on the tensile side formed discrete “roof” bends, typically λz\lambda_z9–AA0 arcs, interpreted as analogous to splash clusters and quasi-waves. Plates on the compressive side developed wrinkles akin to cusp arrays, and unbonded plates formed dome-shapes illustrating plastic accommodation of excess area. The curvature is AA1, so that for AA2 mm, AA3, and for AA4 mm, AA5. Observed roof-bend spacing obeyed AA6–AA7 with number of bends AA8–AA9, summarized by Λ\Lambda0. The relaxation time scale was minutes to hours at room temperature (Greenberg et al., 2016).

The same report treats interface heterogeneity and bending as primary selectors of morphology. Initial heterogeneities, including surface roughness and cusps, serve as nucleation sites for splashes and control local Λ\Lambda1 and Λ\Lambda2. Bending-induced plastic strains impose periodic stress fields and favor formation of waves aligned with principal curvature. Material heterogeneity, such as grain size and hardness contrasts, leads to patchwise wave parameters, described as a “patchwork quilt” (Greenberg et al., 2016).

Industrial implications are stated directly. By engineering the starting roughness and imposing pre-bending, one can bias the direction and uniformity of the wavy interface. Materials with moderate mutual solubility, forming small intermetallics, yield intermittent or embedded-cusp waves, whereas insoluble pairs yield cleaner sinusoidal waves. Controlled heterogeneity enables tailored mechanical interlocking without large intermetallic embrittlement. For desired wave patterns, collision velocity Λ\Lambda3–Λ\Lambda4 minimal weldability velocity Λ\Lambda5, just above the lower boundary, produces controlled quasi-waves with Λ\Lambda6 and Λ\Lambda7; larger Λ\Lambda8 toward the center of the weldability window and collision angle Λ\Lambda9–AA0 yield fully periodic waves with AA1 and AA2. A stand-off distance AA3 in the range AA4–AA5 mm and pre-texturing of the flyer plate to roughness AA6 with slight pre-bending AA7 are likewise given as practical guidance (Greenberg et al., 2016).

A common misconception is that the wavy morphology in explosive welding is simply a frozen liquid-like instability. The cited study instead emphasizes solid-phase, diffusionless cusps, plastic deflection, and excess-area relaxation, even though some morphological features are described by analogy to splashes (Greenberg et al., 2016).

4. Near-wall turbulence over metallic waviness: drag reduction and drag increase

In wall-bounded turbulence, MWS are used in two distinct ways in the cited literature. One line of work investigates skewed wavy walls as a passive means of emulating a Spatial Stokes Layer (SSL) and reducing turbulent skin-friction drag. Another examines two-dimensional sinusoidal waviness in the “waviness” regime, where increasing slope enhances near-surface turbulent mixing and raises total drag (Ghebali et al., 2017, Jayaraman et al., 2019).

For skewed shallow waviness, the lower wall is

AA8

and the mean spanwise velocity profile above the wall creates a transverse shear strain AA9. This is compared with the analytic SSL field

λ\lambda0

whose shear is

λ\lambda1

The skin-friction coefficient is defined as

λ\lambda2

and the total drag change is

λ\lambda3

with empirically λ\lambda4. For small wave slopes λ\lambda5, the friction-drag reduction grows quadratically, λ\lambda6; for moderate slopes λ\lambda7, the trend becomes approximately linear, while the pressure-drag term remains quadratic. The reported optimum lies at λ\lambda8–λ\lambda9, corresponding to λ\lambda00–λ\lambda01, λ\lambda02–λ\lambda03, and skew angle λ\lambda04–λ\lambda05. Under these conditions, λ\lambda06, λ\lambda07, and the net drag reduction λ\lambda08; on the finest grids, the asymptotic value falls to λ\lambda09 (Ghebali et al., 2017).

The DNS methodology for this passive-drag-reduction problem is also specified. The domain is a pressure-driven turbulent channel of height λ\lambda10, periodic in streamwise and spanwise directions, with the lower wall or both walls conformally meshed to the sinusoidal geometry. The flow is driven at an angle λ\lambda11 to the mesh, enabling statistical averaging. The solver is a fully-explicit fractional-step finite-volume method with collocated variables, second-order spatial differencing, third-order gear-type time stepping, Rhie–Chow interpolation, and a Poisson solver via successive-line over-relaxation with multigrid acceleration. A representative case at λ\lambda12 used λ\lambda13, λ\lambda14, wall-normal spacing from λ\lambda15 at the wall to λ\lambda16 in the core, domain size λ\lambda17, λ\lambda18, and λ\lambda19, with statistics averaged for λ\lambda20 (Ghebali et al., 2017).

A separate DNS study of two-dimensional sinusoidal waviness,

λ\lambda21

holds λ\lambda22–λ\lambda23 fixed while varying mean surface slope λ\lambda24 from λ\lambda25 to λ\lambda26 at λ\lambda27. In this regime, the total drag is split into viscous and pressure contributions,

λ\lambda28

Increasing λ\lambda29 produces an λ\lambda30–λ\lambda31 growth in λ\lambda32 and an λ\lambda33–λ\lambda34 non-zero λ\lambda35, rising from zero at λ\lambda36 to λ\lambda37 at λ\lambda38. The form-drag fraction grows monotonically with λ\lambda39. The increase in wave slope enhances near-surface turbulent mixing, yields higher fraction of form drag, accelerates return to isotropy, and modulates the buffer layer. Direct shear-production of λ\lambda40 is zero; spanwise variance is produced by the pressure-rate-of-strain mechanism, concentrated primarily on the windward side for flows with very little flow separation (Jayaraman et al., 2019).

Taken together, these results show that “wavy surface” is not synonymous with drag reduction. Skewed three-dimensional waviness can passively reproduce an SSL-like shear-strain pattern and deliver a modest overall-drag reduction, whereas two-dimensional sinusoidal waviness at comparable inner-scaled heights can increase drag while enhancing mixing (Ghebali et al., 2017, Jayaraman et al., 2019).

In THz communications, MWS are used as passive non-line-of-sight reflectors. The surface studied under rainfall conditions is a one-dimensional sinusoidal corrugation machined into an aluminum plate,

λ\lambda41

with λ\lambda42 mm and λ\lambda43 mm. For a single-period deterministic profile, the autocorrelation function is

λ\lambda44

and the one-dimensional power spectral density is

λ\lambda45

Under the Kirchhoff approximation, the bistatic differential scattering cross section per unit length in λ\lambda46 is

λ\lambda47

and substituting the sinusoidal profile yields discrete Bragg-scattering lobes indexed by integer λ\lambda48:

λ\lambda49

For each lobe,

λ\lambda50

with the specular component λ\lambda51 and first-order Bragg lobes λ\lambda52 dominating for λ\lambda53 (Li et al., 2024).

Rain modifies the scattering in two ways. First, the effective reflection coefficient becomes

λ\lambda54

using λ\lambda55 and a rain attenuation law

λ\lambda56

Second, total bistatic scattering is reduced along the free-space paths according to

λ\lambda57

Surface wetting is modeled by an effective RMS height

λ\lambda58

with droplet height λ\lambda59 mm, introducing an additional small-perturbation attenuation factor

λ\lambda60

At λ\lambda61 GHz and extreme rain intensity λ\lambda62 mm/hr, λ\lambda63 Np, so that λ\lambda64 drops by λ\lambda65 dB relative to dry conditions; over the full path, λ\lambda66 Np, giving a uniform λ\lambda67–λ\lambda68 dB reduction of scattering peaks (Li et al., 2024).

The security analysis uses three metrics. The normalized secrecy capacity is

λ\lambda69

with λ\lambda70 indicating that Eve’s SNR approaches Bob’s. The variation parameter is

λ\lambda71

and the backscatter parameter is

λ\lambda72

Eavesdropping is declared successful when λ\lambda73, λ\lambda74, and λ\lambda75 simultaneously (Li et al., 2024).

The reported measurements used a controlled-rain chamber, frequencies from λ\lambda76 to λ\lambda77 GHz with analysis focused on continuous waves at λ\lambda78 and λ\lambda79 GHz and λ\lambda80 dBm, Tx–MWS distance λ\lambda81 m, MWS–Rx distance λ\lambda82 m, horn antennas with λ\lambda83 cm dielectric lenses and λ\lambda84 dBi gain, and angular scans over λ\lambda85 in λ\lambda86 steps. Even under heavy rain, the MWS exhibited distinct Bragg lobes at angles satisfying λ\lambda87. The sinusoidal grooves fostered uniform film formation but prevented large isolated droplets, so the main peaks remained within λ\lambda88 dB of dry values, whereas a smooth surface showed up to λ\lambda89 dB fluctuations when wet. Peaks in side-scattered power corresponded to λ\lambda90, typically at λ\lambda91 for λ\lambda92 and λ\lambda93 at λ\lambda94 GHz, and at λ\lambda95 and λ\lambda96 at λ\lambda97 GHz for λ\lambda98; at these angles, λ\lambda99 and hsh_s00 as well (Li et al., 2024).

6. Covered MWS in indoor THz relays: redistribution rather than elimination of risk

The covered-surface literature extends the THz use of MWS to indoor passive relays concealed beneath common materials. The underlying MWS is a one-dimensional cosinoidal corrugation machined into a high-purity aluminum plate,

hsh_s01

with hsh_s02 mm and hsh_s03 mm, selected to satisfy Bragg’s condition for angular redirection in the hsh_s04–hsh_s05 GHz band. The channel model combines free-space path loss

hsh_s06

with an angular-dependent reflection coefficient

hsh_s07

where hsh_s08 satisfies Bragg’s condition, hsh_s09 is the loss constant of the covering, hsh_s10 its thickness, and hsh_s11 is proportional to hsh_s12. The end-to-end gain is

hsh_s13

with hsh_s14 and hsh_s15 (Li et al., 6 Aug 2025).

The experimental testbed used a CW source at hsh_s16 dBm, up-converted to hsh_s17, hsh_s18, and hsh_s19 GHz, horn antennas with hsh_s20 cm dielectric lenses producing a hsh_s21 mm beam, and power readings via a calibrated sensor with hsh_s22 dB accuracy. The MWS was fixed at hsh_s23 cm from Tx and hsh_s24 cm from Rx on a vibration-isolated optical bench. Coverings included wallpaper samples P1–P3 with thickness hsh_s25–hsh_s26 mm mounted via adhesive with micro-airgaps, a polyester curtain with hsh_s27 mm, and titanium-dioxide plaster with hsh_s28–hsh_s29 mm, troweled to fill corrugations and then dried and sanded flat. Permittivity was extracted using T-SPEC 800 THz-TDS over hsh_s30–hsh_s31 THz, and two angular measurement modes were used: receiver rotation of hsh_s32 around the MWS, and MWS rotation of hsh_s33 with Tx/Rx fixed to simulate clandestine reorientation (Li et al., 6 Aug 2025).

Quantitative effects depend on the covering. For wallpaper at hsh_s34 GHz, Mode 1 patterns show an approximately hsh_s35 dB rise in the specular direction versus the bare MWS due to constructive interference between surface reflection and substrate Bragg lobe, while off-specular lobes drop by hsh_s36–hsh_s37 dB. The secrecy-capacity metric

hsh_s38

satisfies hsh_s39 over multiple angles, and under Mode 2 the variation parameter

hsh_s40

remains below hsh_s41 at eavesdropping-optimal rotations of hsh_s42 and hsh_s43; the backscatter metric hsh_s44 also stays below hsh_s45. For curtain, angular gain patterns deviate by no more than hsh_s46 dB from the bare case, hsh_s47 persists over a broad set of angles, and covert eavesdropping remains possible around hsh_s48 rotation with simultaneous hsh_s49 and hsh_s50. For wall plaster, the specular gain is hsh_s51 dB over bare, side lobes smear and weaken, but hsh_s52 still occurs near specular and hsh_s53, and a hsh_s54 rotation again satisfies both hsh_s55 and hsh_s56. Across all coverings, BER predictions for 16-QAM fall below the forward error-correction threshold hsh_s57 in some angular regions, indicating recoverable data at the eavesdropper (Li et al., 6 Aug 2025).

The physical interpretation given in the source is that coverings redistribute rather than remove the scattering risk. Bragg-based scattering lobes are fixed by hsh_s58 and hsh_s59, so coverings with thickness hsh_s60 cannot shift the angular positions of strong beams. Dual-path constructive interference between covering reflections and substrate Bragg scattering can enhance eavesdropping angles without alerting Bob or Alice, and conventional backscatter monitoring can miss these changes because covered corrugations mask them below detection thresholds. The wavelength-scale thickness and dielectric constants of wallpaper and curtain still transmit sufficient power to the aluminum substrate for the underlying scattering to remain dominant (Li et al., 6 Aug 2025).

The same work proposes five hardening directions: active perturbation of corrugation phase via embedded piezoelectric actuators introducing pseudo-random sub-wavelength deformations hsh_s61; frequency hopping combined with corrugation segment switching; integrated absorptive cladding using a thin lossy polymer layer with hsh_s62 over non-specular lobes; multi-angle backscatter sensing using an array of low-gain receivers around the transmitter; and cryptographic beam-null coding through small amplitude-phase modulation patterns on the CW carrier (Li et al., 6 Aug 2025). This suggests that, in THz relaying, passive geometry alone is insufficient as a security measure even when the reflector is hidden beneath ordinary indoor materials.

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