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Tuning a magnetic field to generate spinning ferrofluid droplets with controllable speed via nonlinear periodic interfacial waves

Zongxin Yu [email protected]    Ivan C. Christov [email protected] http://tmnt-lab.org School of Mechanical Engineering, Purdue University, West Lafayette, Indiana 47907, USA
Abstract

Two dimensional free surface flows in Hele-Shaw configurations are a fertile ground for exploring nonlinear physics. Since Saffman and Taylor’s work on linear instability of fluid–fluid interfaces, significant effort has been expended to determining the physics and forcing that set the linear growth rate. However, linear stability does not always imply nonlinear stability. We demonstrate how the combination of a radial and an azimuthal external magnetic field can manipulate the interfacial shape of a linearly unstable ferrofluid droplet in a Hele-Shaw configuration. We show that weakly nonlinear theory can be used to tune the initial unstable growth. Then, nonlinearity arrests the instability, and leads to a permanent deformed droplet shape. Specifically, we show that the deformed droplet can be set into motion with a predictable rotation speed, demonstrating nonlinear traveling waves on the fluid-fluid interface. The most linearly unstable wavenumber and the combined strength of the applied external magnetic fields determine the traveling wave shape, which can be asymmetric.

I Introduction

Recently, there has been significant interest in the physics of active and responsive fluids [1, 2]. For example, swimming bacteria can take a suspension of microscopic gears out of equilibrium and extract rectified (useful) work out of an otherwise random system [3]. One promising approach to creating active fluids with controllable properties and behaviors is by suspending many mechanical microswimmers made from shape-programmable materials [4] and actuating them with an external magnetic field [5, 6]. This actuation mechanism is particularly enticing for biological applications due to the safe operation of magnetic fields in the medical setting (for, e.g., targeted therapies and drug delivery in vivo) [7]. Even simpler than a suspension of magnetically-responsive mechanical microswimmers is a suspension of ferrofluid droplets, which can also respond to an external magnetic field [8, 9]. Ferrofluids are colloidal dispersion of ferromagnetic nanoparticles in a carrier liquid, such as water, which can be immiscible when placed in another liquid. However, the ferrofluid droplet’s interface motion and response to different types of external magnetic fields is not well understood. Previous work has addressed the linear stability of such fluid–fluid interfaces [10, 11], including stationary shapes [12], but not a droplet’s nonlinear dynamics or controllable motion. Guided by the well-established ability of nonlinearity to “arrest” long-wave instabilities [13], we demonstrate, using theory and nonlinear simulation, that it is possible to “grow” linearly unstable ferrofluid interfaces into well-defined permanent shapes. These permanent shapes, which cannot be further deformed without changing the forcing of the system, can then be considers as solitary waves, in the sense of a “localized wave that propagates along one space direction only, with undeformed shape” [14, p. 11]. Importantly, unlike previous work discussing traveling waves on a ferrofluid interface in a Cartesian configuration [15], we analyze the fully nonlinear dynamics of these waves in a novel configuration, and thus ensure they satisfy the solitary wave definition above. Specifically, we show that the resulting coherent droplet shapes are reproducible and controllable via an external magnetic field. These droplets can be set into rotational motion with velocities predictable by the proposed theory, leading to the possibility of an externally-actuated active fluid suspension.

II Governing equations

We study the dynamics of an initially circular ferrofluid droplet (radius RR) confined in a Hele-Shaw cell with gap thickness bb and surrounded by air (negligible viscosity), as shown in Fig. 1, because “[i]f any [ferro]fluid mechanics problem is likely to be accessible to theory and to direct comparison of theory and experiment it should be this one” [16]. Both fluids are considered incompressible. We propose to apply the radially-varying external magnetic field

𝐇=I2πr𝐞^θ𝐇a+H0Lr𝐞^r𝐇r.\bm{\mathrm{H}}=\underbrace{\frac{I}{2\pi r}\,\bm{\mathrm{\hat{e}}}_{\theta}}_{\bm{\mathrm{H}}_{a}}+\underbrace{\frac{H_{0}}{L}r\,\bm{\mathrm{\hat{e}}}_{r}}_{\bm{\mathrm{H}}_{r}}. (1)

A long wire through the origin, carrying an electric current II, produces the azimuthal component 𝐇a\bm{\mathrm{H}}_{a}. Anti-Helmholtz coils produce the radial component 𝐇r\bm{\mathrm{H}}_{r}, where H0H_{0} is a constant and LL is a length scale [17, 12]. The combined magnetic field 𝐇=𝐇a+𝐇r\bm{\mathrm{H}}=\bm{\mathrm{H}}_{a}+\bm{\mathrm{H}}_{r} forms an angle with the initially undisturbed interface [18]. The droplet experiences a body force |𝐌||𝐇|\propto|\bm{\mathrm{M}}|\bm{\mathrm{\nabla}}|\bm{\mathrm{H}}|, where 𝐌\bm{\mathrm{M}} is the magnetization. To study shape dynamics, we assume the ferrofluid is uniformly magnetized, 𝐌=χ𝐇\bm{\mathrm{M}}=\chi\bm{\mathrm{H}}, where χ\chi is its constant magnetic susceptibility. So, |𝐇|𝟎\bm{\mathrm{\nabla}}|\bm{\mathrm{H}}|\neq\bm{\mathrm{0}} is the main contribution to the body force, and the demagnetizing field is negligible, as shown in previous work [18, 19, 17, 20].

Enforcing no-slip on the confining boundaries and neglecting inertial terms, the confined flow is governed by a modified Darcy’s law [17] with gap-averaged velocity:

𝐯=b212η(pΨ),𝐯=0,\bm{\mathrm{v}}=-\frac{b^{2}}{12\eta}\bm{\mathrm{\nabla}}\left(p-\Psi\right),\qquad\bm{\mathrm{\nabla}}\cdot\bm{\mathrm{v}}=0, (2)

where pp is the pressure in the droplet, η\eta is the ferrofluid’s viscosity, Ψ=μ0χ|𝐇|2/2\Psi=\mu_{0}\chi|\bm{\mathrm{H}}|^{2}/2 is a scalar potential accounting for the magnetic body force, and μ0\mu_{0} is the free-space permeability. Here, 𝐯\bm{\mathrm{v}} is the velocity field of the “inner” ferrofluid, while the viscosity of the “outer” fluid is considered negligible (i.e., it is considered inviscid), so the flow exterior to the droplet is neglected. The resulting model is thus, essentially, a one-phase model.

Refer to caption
Figure 1: Schematic illustration of a Hele-Shaw cell confining a ferrofluid droplet, initially circular with radius RR. The azimuthal magnetic field 𝐇a\bm{\mathrm{H}}_{a} is produced by a long wire conveying an electric current II. The radial magnetic field 𝐇r\bm{\mathrm{H}}_{r} is produced by a pair of anti-Helmholtz coils with equal currents IAHI_{AH} in opposite directions. The combined external magnetic field 𝐇\bm{\mathrm{H}} deforms the droplet, and its interface is given by h(θ,t)h(\theta,t). In comparison, the fluid exterior to the droplet (e.g., air) is assumed to have negligible viscosity and velocity.

At the boundary of the droplet, the pressure is given by a modified Young–Laplace law [8, 9]:

p=τκμ02(𝐌𝐧^)2,p=\tau\kappa-\frac{\mu_{0}}{2}(\bm{\mathrm{M}}\cdot\bm{\mathrm{\hat{n}}})^{2}, (3)

where τ\tau is the constant surface tension, and κ\kappa is the curvature of the droplet shape. The second term on the right-hand side of Eq. (3) is the magnetic normal traction [8, 9], where 𝐧^\bm{\mathrm{\hat{n}}} denotes the outward unit normal vector at the interface. This contribution breaks the symmetry of the initial droplet interface, due to the projection of 𝐌\bm{\mathrm{M}} onto 𝐧^\bm{\mathrm{\hat{n}}}, and causes the droplet to rotate. The kinematic boundary condition

vn=b212η(pΨ)𝐧^v_{n}=-\frac{b^{2}}{12\eta}\bm{\mathrm{\nabla}}\left(p-\Psi\right)\cdot\bm{\mathrm{\hat{n}}} (4)

requires that the droplet boundary is a material surface.

III Mathematical analysis

We employ the weakly nonlinear approach [21] previously adapted to ferrofluid interfacial dynamics (e.g., [18, 17, 12]). The droplet interface is written as h(θ,t)=R+ξ(θ,t)h(\theta,t)=R+\xi(\theta,t), where

ξ(θ,t)=k=+ξk(t)eikθ\xi(\theta,t)=\sum_{k=-\infty}^{+\infty}\xi_{k}(t)e^{ik\theta} (5)

represents the perturbation of the initially circular interface, with complex Fourier amplitudes ξk(t)\xi_{k}(t)\in\mathbb{C} and azimuthal wavenumbers kk\in\mathbb{Z}. The velocity potential ϕ=pΨ\phi=p-\Psi is then expanded into a Fourier series as

ϕ(r,θ,t)=k0ϕk(t)(rR)|k|eikθ,\phi(r,\theta,t)=\sum_{k\neq 0}\phi_{k}(t)\left(\frac{r}{R}\right)^{|k|}e^{ik\theta}, (6)

and ϕk\phi_{k} is expressed in terms of ξk\xi_{k} through the kinematic boundary condition (4). Substituting Eqs. (5), (6) and (3) into Eq. (2), keeping only terms up to second order in ξ\xi, we find the dimensionless equations of motion (k0k\neq 0):

ξ˙k=Λ(k)ξk+k0F(k,k)ξkξkk+G(k,k)ξ˙kξkk.\dot{\xi}_{k}=\Lambda(k)\xi_{k}+\sum_{k^{\prime}\neq 0}F(k,k^{\prime})\xi_{k^{\prime}}\xi_{k-k^{\prime}}+G(k,k^{\prime})\dot{\xi}_{k^{\prime}}\xi_{k-k^{\prime}}. (7)

The mode-coupling functions in Eq. (7) are given by

F(k,k)\displaystyle F(k,k^{\prime}) =|k|R{NBaR4[3χk(kk)]\displaystyle=\frac{|k|}{R}\left\{\frac{\mathrm{N_{Ba}}}{R^{4}}[3-\chi k^{\prime}(k-k^{\prime})]\right.
+NBr{1+χ[k(kk)+1]}\displaystyle\qquad+\mathrm{N_{Br}}\{1+\chi[k^{\prime}(k-k^{\prime})+1]\}
1R3[1k2(3k+k)]+2χNBaNBrR2ik},\displaystyle-\left.\frac{1}{R^{3}}\left[1-\frac{k^{\prime}}{2}(3k^{\prime}+k)\right]+\frac{2\chi\sqrt{\mathrm{N_{Ba}}\mathrm{N_{Br}}}}{R^{2}}ik^{\prime}\right\}, (8a)
G(k,k)\displaystyle G(k,k^{\prime}) =1R[(sgn(kk)1)|k|1],\displaystyle=\frac{1}{R}[(\operatorname{sgn}(kk^{\prime})-1)|k|-1], (8b)

where sgn(x)=x/|x|\operatorname{sgn}(x)=x/|x| for x0x\neq 0 and sgn(0)=0\operatorname{sgn}(0)=0.

From mass conservation, ξ0=k>0|ξk|2/R\xi_{0}=-\sum_{k>0}|\xi_{k}|^{2}/R t0\forall t\geq 0. Here,

Λ(k)=|k|R3(1k2)surface tension2NBaR4|k|+2(1+χ)NBr|k|2χNBaNBrR2ik|k|\Lambda(k)=\underbrace{\frac{|k|}{R^{3}}(1-k^{2})}_{\text{surface tension}}-\frac{2\mathrm{N_{Ba}}}{R^{4}}|k|+2(1+\chi)\mathrm{N_{Br}}|k|\\ -\frac{2\chi\sqrt{\mathrm{N_{Ba}}\mathrm{N_{Br}}}}{R^{2}}ik|k| (9)

denotes the (complex) linear growth rate, and

NBa=μ0χI28π2τL,NBr=μ0χH02L2τ\mathrm{N_{Ba}}=\frac{\mu_{0}\chi I^{2}}{8\pi^{2}\tau L},\qquad\mathrm{N_{Br}}=\frac{\mu_{0}\chi H_{0}^{2}L}{2\tau} (10)

are the magnetic Bond numbers quantifying the ratio of azimuthal and radial magnetic forces to the capillary force, respectively. Terms multiplied by χ\chi arise from the magnetic normal stress. The time and length scales used in the nondimensionalization are 12ηL3/τb212\eta L^{3}/\tau b^{2} and LL, respectively.

IV Linear regime

First, consider Eq. (7), neglecting quadratic terms in ξk\xi_{k}, then [Λ(k)]=λ(k)\Re[\Lambda(k)]=\lambda(k) governs the exponential growth or decay of infinitesimal perturbations. For λ(k)>0\lambda(k)>0, the interface is unstable. Specifically, Eq. (9) indicates that the radial magnetic field term (1+χ)NBr\propto(1+\chi)\mathrm{N_{Br}} is destabilizing, while the azimuthal term NBa\propto\mathrm{N_{Ba}} and surface tension are stabilizing. The most unstable mode kmk_{m} solves dλ(k)/dk=0d\lambda(k)/dk=0:

km=13[12NBaR+2(1+χ)NBrR3].k_{m}=\sqrt{\frac{1}{3}\left[1-\frac{2\mathrm{N_{Ba}}}{R}+2(1+\chi)\mathrm{N_{Br}}R^{3}\right]}. (11)

This wavenumber characterizes the dominant km\lfloor k_{m}\rfloor-fold symmetry of a pattern. Note that the normal stress from the azimuthal magnetic field does not contribute to the linear dynamics.

The phase velocity of each mode,

vp=[Λ(k)]/k=2χNBaNBrk/R2v_{p}=-\Im[\Lambda(k)]/k=2\chi\sqrt{\mathrm{N_{Ba}}\mathrm{N_{Br}}}k/R^{2} (12)

in the linear regime, is set by [Λ(k)]\Im[\Lambda(k)]. A periodic shape on [0,2π][0,2\pi] forms a closed curve, meaning wave propagation is manifested as rotation of the droplet. Motion is caused by the magnetic normal stresses arising from the combined magnetic field. Intuitively, from vector projection, we observe that only the combined azimuthal and radial magnetic field can break the symmetry and cause a force imbalance leading to motion. This linear analysis indicates that perturbations of the droplet interface can propagate (and, since vp=vp(k)v_{p}=v_{p}(k), they also experience dispersion). Such wavepackets will either decay or blow-up exponentially according to the sign of λ(k)\lambda(k). However, this is not the whole story, and nonlinearly stable traveling shapes exist, as we now show.

V Nonlinear regime

To demonstrate the possibility of nonlinear traveling waves in this system, we numerically solve the weakly nonlinear mode-coupling equations (7) for five modes (i.e., k,2k,,5kk,2k,\ldots,5k). The fundamental mode k=7k=7 is chosen to allow propagating solutions over a wider swath of the (NBa,NBr,km)(\mathrm{N_{Ba}},\mathrm{N_{Br}},k_{m}) space (compared to choosing k<7k<7), while only requiring modest spatial resolution for simulations (compared to k>7k>7). We verified that the amplitudes |cn||c_{n}| and phases [cn]\angle{[c_{n}]} of modes saturate at late times, leading to permanent propagating profiles with ξnk(t)=cneinω(k)t\xi_{nk}(t)=c_{n}e^{in\omega(k)t} (see below).

Next, we perform fully nonlinear simulations to validate the weakly nonlinear predictions. The vortex sheet method is a standard sharp-interface technique for simulating dynamics of Hele-Shaw flows [22]. It is based on a boundary integral formulation in which the interface is formally replaced by a generalized vortex sheet [23] with a distribution of vortex strengths γ(s,t)\gamma(s,t), where ss is the arclength coordinate. We adapt this approach to handle ferrofluids under imposed magnetic fields. First, we express the velocity of the interface solely in terms of the interface position. To do so, it is convenient to identify the position vector in 2\mathbb{R}^{2} with a scalar z(s,t)z(s,t)\in\mathbb{C} ( denotes complex conjugate) [23, 24, 25]. Second, to advance the interface, we solve the dimensionless equations

zt\displaystyle z_{t}^{*} =γ2zs+12πi𝒫γ(s,t)z(s,t)z(s,t)𝑑s,\displaystyle=-\frac{\gamma}{2z_{s}}+\frac{1}{2\pi i}\mathcal{P}\oint\frac{\gamma(s^{\prime},t)}{z(s,t)-z(s^{\prime},t)}ds^{\prime}, (13a)
γ2\displaystyle\frac{\gamma}{2} ={zs2πi𝒫γ(s,t)z(s,t)z(s,t)𝑑s}\displaystyle=\Re\left\{\frac{z_{s}}{2\pi i}\mathcal{P}\oint\frac{\gamma(s^{\prime},t)}{z(s,t)-z(s^{\prime},t)}ds^{\prime}\right\}
+[κ(s,t)(𝐌𝐧^)2Ψ]s,\displaystyle\qquad+\left[\kappa(s,t)-(\bm{\mathrm{M}}\cdot\bm{\mathrm{\hat{n}}})^{2}-\Psi\right]_{s}, (13b)

iteratively for the velocity ztz_{t}, where ()t()/t(\cdot)_{t}\equiv\partial(\cdot)/\partial t, ()s()/s(\cdot)_{s}\equiv\partial(\cdot)/\partial s, i=1i=\sqrt{-1}, and 𝒫\mathcal{P} represents principal value integration. Here, Ψ=NBar2+NBrr2\Psi=\mathrm{N_{Ba}}r^{-2}+\mathrm{N_{Br}}r^{2}, and (𝐌𝐧^)2=χ[NBar1(𝐞^θ𝐧^)+NBrr(𝐞^r𝐧^)]2(\bm{\mathrm{M}}\cdot\bm{\mathrm{\hat{n}}})^{2}=\chi\left[\sqrt{\mathrm{N_{Ba}}}r^{-1}(\bm{\mathrm{\hat{e}}}_{\theta}\cdot\bm{\mathrm{\hat{n}}})+\sqrt{\mathrm{N_{Br}}}r(\bm{\mathrm{\hat{e}}}_{r}\cdot\bm{\mathrm{\hat{n}}})\right]^{2} is the dimensionless magnetic normal stress. Time advancement is accomplished by the Crank–Nicolson scheme. The spatial discretization is implemented on an array of Lagrangian points (N=1024N=1024) with uniform Δs\Delta s; see Appendix B for further details, including algorithm flowchart and grid convergence study.

VI Evolutionary dynamics

The evolution of perturbed harmonic modes ξk\xi_{k} under the fully nonlinear simulation and the weakly nonlinear approximation are shown in Fig. 2(a). Starting from small initial values (ξk|k=7=0.002\xi_{k}|_{k=7}=0.002, ξnk=0\xi_{nk}=0 for n>1n>1) with NBa,NBr,R,χ\mathrm{N_{Ba}},\mathrm{N_{Br}},R,\chi set so that the most unstable mode is equal to the fundamental mode (km=k=7k_{m}=k=7), they saturate at late times. The perturbed circular interface grows exponentially in the linear regime and then matches the weakly nonlinear approximation at intermediate times (t[0,tw]t\in[0,t_{w}]). The nonlinear simulations take longer to saturate (t[tw,te]t\in[t_{w},t_{e}]) and do so at higher final amplitudes compared to the weakly nonlinear result. The time-domain evolution is also shown in Fig. 2(b), evolving from a nearly flat (unwound circular) interface into a permanent propagating profile 111See Supplemental Material at [URL will be inserted by publisher] for a video of this process..

The rotating droplet, shown in Fig. 2(c), has a polygonal shape with the symmetry set by the fundamental mode, k=7k=7. The fully nonlinear profile has a sharper peak compared to the weakly nonlinear approximation, which is otherwise in good agreement. The key discovery of the present work is the stable rotating shape, which we now seek to analyze as a nonlinear wave phenomenon [14].

Refer to caption
Figure 2: (a) The evolution of the first 5 harmonic modes from fully nonlinear simulation (solid) and weakly nonlinear approximation (dashed), for NBa=1.0\mathrm{N_{Ba}}=1.0, NBr=37\mathrm{N_{Br}}=37, R=1R=1, and χ=1\chi=1 (same parameters for (b), (c) and (d)). (b) The fully nonlinear evolution of the interface from a small perturbation of the flat base state into a permanent traveling wave (rotating droplet). (c) Comparison between the final shape from fully nonlinear simulation (solid) and weakly nonlinear approximation (dashed); (d) Stability diagram based on the first two harmonic modes of the final shape (marked with {\color[rgb]{1,0,0}\blacktriangle}) shown in (b); \circ (resp. ×\times) denotes the stable (resp. unstable) initial conditions, solid (resp. dashed) curves tract the stable (resp. unstable) evolution trajectories. The unstable region is shaded, and the ‘ff’ superscript represents the final harmonic mode amplitude.

VII When does weakly nonlinear stability imply nonlinear stability?

A deficiency of linear and weakly nonlinear analyses is that they do not provide sufficient conditions for stability. Linearly stable base states can be nonlinearly unstable [27], and vice versa. Importantly, however, our nonlinear traveling wave solution is a local attractor (following the terminology from [28]); see Fig. 2(d).

Shapes in a neighborhood of the propagating profile, subject to small (ξk,2k/ξk,2kf1\xi_{k,2k}/\xi_{k,2k}^{f}\ll 1) or intermediate (ξk,2k/ξk,2kf=𝒪(1)\xi_{k,2k}/\xi_{k,2k}^{f}=\mathcal{O}(1)) initial perturbations, converge to it. Larger perturbations (shaded region) lead to nonlinear instability of the weakly nonlinearly stable profiles; “fingers” continue to rotate and grow without bound under the effect of the radial magnetic field NBr\propto\mathrm{N_{Br}}, which increases with distance to the center of the droplet. Convergence to the attractor is sensitive to the initial amplitude of the first harmonic mode ξk\xi_{k}. For the chosen parameters, λ(k)>0\lambda(k)>0 and λ(2k)<0\lambda(2k)<0: high wavenumbers decay and the fundamental wavenumber grow in the linear stage. Consequently, for low ξk/ξkf\xi_{k}/\xi_{k}^{f} and high ξ2k/ξ2kf\xi_{2k}/\xi_{2k}^{f}, the low wavenumber modes grow and saturate, as high wavenumber modes decay exponentially in the linear regime. With higher initial ξk/ξkf\xi_{k}/\xi_{k}^{f}, the perturbed droplet will not go through the linear regime, and the amplitudes of both modes will rapidly increase to create a skewed shape, with multivalued h(θ,t)h(\theta,t), for which harmonic modes can no longer be defined. Note that Fig. 2(d) is a projection in the (ξk,ξ2k)(\xi_{k},\xi_{2k}) plane, where the initial values of ξ3k\xi_{3k}, ξ4k\xi_{4k}, ξ5k\xi_{5k} are set as the final amplitudes (and phases) from the weakly nonlinear equations. A fast Fourier transform was used to decompose the nonlinear profile into normal modes that we plot in this figure. Note that even though Fig. 2(a) indicates ξ3k\xi_{3k} makes a non-trivial contribution to the final shape, while ξ4k,ξ5k\xi_{4k},\xi_{5k} play a smaller role, the projection is sufficient to conclude that the propagating wave profile is an attractor.

VIII Propagation velocity

A permanent traveling wave profile has ξ(θ,t)=Ξ(kθωt)\xi(\theta,t)=\Xi(k\theta-\omega t), and vf=ω/kv_{f}=\omega/k is its propagation velocity. Expressing the modes’ complex amplitudes as ξnk(t)=cneinω(k)t\xi_{nk}(t)=c_{n}e^{-in\omega(k)t}, with constant cnc_{n}\in\mathbb{C} that account for their relative phases, we have vp(k,t)=nω(k)/nk=vfv_{p}(k,t)=n\omega(k)/nk=v_{f}. The mean vpv_{p} of the first five harmonics is used to calculate vfFv_{f}^{F} for the fully nonlinear simulation and also vfWv_{f}^{W} for the weakly nonlinear approximation. Meanwhile, vfL=vpv_{f}^{L}=v_{p} as given by Eq. (12).

For a quantitative comparison, three sets of parameters are considered, fixing χ=1\chi=1. Two sets (i) and (ii) are for km=7k_{m}=7, and the variation of NBr\mathrm{N_{Br}} is according to Eq. (11). A third set (iii) explores the effect of kmk_{m} under the same linear propagation velocity vfLv_{f}^{L}. Figure 3(a) compares the final propagating velocity predictions. Both vfLv_{f}^{L} and vfWv_{f}^{W} are in relatively good agreement with vfFv_{f}^{F} for small velocities. When NBa0\mathrm{N_{Ba}}\to 0 (the magnetic field becomes radial), only a stationary (non-rotating) droplet (vf=0v_{f}=0) exists [12]. For higher vfv_{f}, the larger deviation in the predictions highlights the importance of nonlinearity. Nevertheless, the linear and weakly nonlinear results follow a similar trend. Importantly, vfLv_{f}^{L} and vfWv_{f}^{W} help identify the key control factors: the coupled magnetic field strength NBaNBr\sqrt{\mathrm{N_{Ba}}\mathrm{N_{Br}}} and the radius of the initial droplet RR. The salient physics uncovered is that the propagating velocity can be non-invasively tuned.

IX Traveling wave shape

The most unstable mode kmk_{m} sets the propagating profile, which has a sharper peak for higher kmk_{m} [Fig. 3(c)]. To quantify the shape change, we introduce the skewness Sk(t)=ξ3/ξ23/2Sk(t)=\langle\xi^{3}\rangle/\langle\xi^{2}\rangle^{3/2}, which is used to define the vertical asymmetry of nonlinear surface water waves [29, 30]; Sk>0Sk>0 corresponds to narrow crests and flat troughs. Here, =12π02π()𝑑θ\left\langle\,\cdot\,\right\rangle=\frac{1}{2}\pi\int_{0}^{2\pi}(\,\cdot\,)\,d\theta. Figure 3(b) shows that SkSk (for the fully nonlinear propagation) increases with kmk_{m}, as expected from the sharper peaks in Fig. 3(c). This observation also explains why vfLv_{f}^{L} becomes a worse approximation of vfFv_{f}^{F} as kmk_{m} increases [inset of Fig. 3(a)]: smoother peaks (lower kmk_{m}) are better captured by the linear theory based on harmonic modes.

Refer to caption
Figure 3: (a) Comparison of the propagation velocity predicted by linear theory vfLv_{f}^{L} (dashed), weakly nonlinear theory vfWv_{f}^{W} (empty symbols), and fully nonlinear simulation vfFv_{f}^{F} (filled symbols). The circles represent results for case (i) R=1R=1 fixed and NBa[0,103,102,101,1,3,5]\mathrm{N_{Ba}}\in[0,10^{-3},10^{-2},10^{-1},1,3,5], the triangles represent results for case (ii) NBa=1\mathrm{N_{Ba}}=1 fixed with NBr\mathrm{N_{Br}} varying according to R[0.8,0.9,1.1,1.2]R\in[0.8,0.9,1.1,1.2], and the squares represent case (iii) km[5,6,7,8,9]k_{m}\in[5,6,7,8,9], R=1R=1 and NBa,NBr\mathrm{N_{Ba}},\mathrm{N_{Br}} determined so that vfL=85.16v_{f}^{L}=85.16. (b) The skewness SkSk of the fully nonlinear profile. (c) The permanent wave shape (only one wavelength shown).

Figure 3(c) reveals that the wave profile for km=5k_{m}=5 (NBa=1.9\mathrm{N_{Ba}}=1.9, NBr=19.5\mathrm{N_{Br}}=19.5) is more asymmetric than the one for km=9k_{m}=9 (NBa=0.60\mathrm{N_{Ba}}=0.60, NBr=60.8\mathrm{N_{Br}}=60.8). Under a purely radial magnetic field (NBa=0\mathrm{N_{Ba}}=0), the stationary shape has azimuthal symmetry [12]. For the combined magnetic field, on the other hand, the dimensionless governing Eq. (2) and pressure boundary condition in Eq. (3) can be rewritten as

𝐯\displaystyle\bm{\mathrm{v}} =(pNBa1r2NBrr2),\displaystyle=-\bm{\mathrm{\nabla}}\left(p-\mathrm{N_{Ba}}\frac{1}{r^{2}}-\mathrm{N_{Br}}r^{2}\right), (14)
p\displaystyle p =κ[χNBar2(𝐞^θ𝐧^)2+χNBrr2(𝐞^r𝐧^)2\displaystyle=\kappa-\left[\chi\frac{\mathrm{N_{Ba}}}{r^{2}}(\bm{\mathrm{\hat{e}}}_{\theta}\cdot\bm{\mathrm{\hat{n}}})^{2}+\chi\mathrm{N_{Br}}r^{2}(\bm{\mathrm{\hat{e}}}_{r}\cdot\bm{\mathrm{\hat{n}}})^{2}\right.
+2χNBaNBr(𝐞^θ𝐧^)(𝐞^r𝐧^)],\displaystyle\qquad\left.+2\chi\sqrt{\mathrm{N_{Ba}}\mathrm{N_{Br}}}(\bm{\mathrm{\hat{e}}}_{\theta}\cdot\bm{\mathrm{\hat{n}}})(\bm{\mathrm{\hat{e}}}_{r}\cdot\bm{\mathrm{\hat{n}}})\right], (15)

where 𝐞^θ𝐧^=hθ/(h2+hθ2)\bm{\mathrm{\hat{e}}}_{\theta}\cdot\bm{\mathrm{\hat{n}}}=-h_{\theta}/(h^{2}+h_{\theta}^{2}), 𝐞^r𝐧^=h/(h2+hθ2)\bm{\mathrm{\hat{e}}}_{r}\cdot\bm{\mathrm{\hat{n}}}=h/(h^{2}+h_{\theta}^{2}), and hθ=h/θh_{\theta}=\partial h/\partial\theta. The magnetic scalar potential in Eq. (14) results from the body force, and the terms pre-multiplied by χ\chi in Eq. (15) represent the magnetic normal stress. For a droplet with symmetric azimuthal perturbation, the body force alone cannot break the symmetry. Therefore, the asymmetry of shapes discussed is to be attributed to the magnetic normal stress.

This observation can be intuitively understood by considering one wavelength of a symmetric waveform. The first three terms on the right-hand side of Eq. (15) are equal on both sides of the peak, while the fourth term changes at the peak due to the sign of hθh_{\theta}, which requires different curvatures on either side of the peak to remain balanced. Therefore, NBaNBr\sqrt{\mathrm{N_{Ba}}\mathrm{N_{Br}}} can be taken as the measure of the coupling effect between the magnetic field components.

To further understand the asymmetry of propagating shapes induced by the combined magnetic field, we extend the parameters of case (i) to a new case (iv): km=7k_{m}=7, R=1R=1 and NBr\mathrm{N_{Br}} varying according to NBa\mathrm{N_{Ba}} (see Fig. 4 caption). To quantify the fore-aft asymmetry of the shape, we introduce As(t)=[ξ]3/ξ23/2As(t)=\langle\mathcal{H}[\xi]^{3}\rangle/\langle\xi^{2}\rangle^{3/2} [29, 30]; []\mathcal{H}[\,\cdot\,] is the Hilbert transform. For As>0As>0, waves tilt “forward” (i.e., counter-clockwise).

Figure 4(a) shows As(t)As(t) for different NBaNBr\sqrt{\mathrm{N_{Ba}}\mathrm{N_{Br}}}, which quantifies the coupled field effect, starting with small symmetric perturbations. For a stable case, As(t)As(t) reaches a maximum value (tt1t\approx t_{1}) during the initial unstable weakly nonlinear growth (dark shadow region), and asymptotes to a value close to zero (tt6t\geq t_{6}). The differences in the final propagating profile (under the same kmk_{m}) shown in Fig. 4(b) are hard to capture, which is consistent with the observation in Fig. 3(b). For the unstable cases, “wave breaking” occurs, which is highlighted by a change of sign of AsAs. Also, now, As(t)As(t) no longer saturates at late tt. Instead As(t)As(t) crosses zero (at tt3t\gtrsim t_{3}) and approaches a singularity. This unstable example is shown in the second row of Fig. 4(c). As its amplitude first grows, the wave tilts forward (t=t2t=t_{2}), but nonlinear effects restore its symmetry (t=t3t=t_{3}). Subsequently, the wave tilts backwards (t=t4,t5t=t_{4},t_{5}) and its amplitude continues to grow (t=t6t=t_{6}). The calculation of AsAs then fails because \mathcal{H} requires the perturbation ξ(θ,t)\xi(\theta,t) to be single-valued in θ\theta. The distorted wave has a wider base and evolves into long unstable fingers.

Note that NBa/NBr\mathrm{N_{Ba}}/\mathrm{N_{Br}} also increases with NBaNBr\sqrt{\mathrm{N_{Ba}}\mathrm{N_{Br}}} for our choices of NBa\mathrm{N_{Ba}} and NBr\mathrm{N_{Br}}. Equation (9) shows that the radial magnetic field is destabilizing, while surface tension (k>2k>2 here) and the azimuthal field are stabilizing. However, the nonlinear simulations indicate that, for the same kmk_{m}, increasing NBa/NBr\mathrm{N_{Ba}}/\mathrm{N_{Br}} can induce instability because it engenders a larger vfv_{f} (and AsAs), leading to a global bifurcation with Fig. 2(d) as one stable slice. This result has an analogy to solitary waves in equations of the Kortweg–de Vries (KdV) type. Specifically, initial perturbations grow, deforming a shape until nonlinearity is balanced by dispersion, when a permanent wave emerges [31]. However, depending on the form of the nonlinearity, not all such permanent waves are stable attractors, and conditions must be placed on the wave speed [32].

Refer to caption
Figure 4: (a) Time evolution of the wave profile asymmetry for different combination of NBa[0,0.1,1,3,5,6,7,8,9]\mathrm{N_{Ba}}\in[0,0.1,1,3,5,6,7,8,9] and NBr\mathrm{N_{Br}} varying so that km=7k_{m}=7 for R=1R=1. Solid curves represent stable cases yielding a propagating profile; dashed curves represent unstable cases in which the profile distorts and grows without bound. (b) Permanent wave profiles that emerge and propagating in a stable manner. (c) Stable (top, with NBa=1,NBr=37\mathrm{N_{Ba}}=1,\mathrm{N_{Br}}=37) and unstable (bottom, NBa=8,NBr=41\mathrm{N_{Ba}}=8,\mathrm{N_{Br}}=41) evolution of the profile. The instants of time (at which the shapes in (c) are shown) are marked with white dots in (a), superimposed on the asymmetry profiles.

X Conclusion

This study demonstrates how a perturbed circular ferrofluid droplet can evolve into a nonlinearly stable rotating shape. The most unstable mode sets how perturbations evolve into a permanent profile (and its skewness and asymmetry). Weakly nonlinear theory, in hand with fully nonlinear simulations, revealed permanent rotating shapes (traveling waves) with predictable propagation velocity. We showed how the coupling of the magnetic field components modifies the asymmetry and the nonlinear instability.

Although the manipulation of the linear growth rate of interfacial perturbations in Hele-Shaw cells is well studied [33], including extensions based on the weakly nonlinear expansion from Eq. (7) [34], the control of the dynamic, fully nonlinear, patterns is not. Our approach harnesses the magnitude and the direction of coupled magnetic fields to generate ferrofluid droplets, with well-characterized shapes and rotational speeds, by purely external means.

Open questions remain: e.g., which fundamental modes evolve into propagating shapes? Work on the stationary problem [17, 35] gives a hint, however, for a propagating shape the Birkhoff integral equation [36] must be solved, making an extension of [17, 35] challenging. Interestingly, our simulations also reveal that patterns predicted as stable by weakly nonlinear analysis can be unstable. In Appendix A, we provide an example showing that perturbations with k=4k=4 will not evolve into either a stationary or a propagating shape (although both are predicted to exist by weakly nonlinear analysis).

Additionally, does this system accommodate more than one propagating wave? If so, do such waves keep their shapes upon collision, as with soliton interactions [31, 37]? Previous studies derived KdV equations for unidirectional small-amplitude, long-wavelength disturbances on fluid–fluid interfaces in Hele-Shaw [38] and axisymmetric ferrofluid configurations [19, 39], demonstrating the celebrated “sech2\operatorname{sech}^{2}” solitary wave. Instead, in our study without such restrictions, we discovered periodic traveling nonlinear waves, which are akin to the cnoidal solutions of periodic KdV, i.e., the fundamental nonlinear modes (“soliton basis states”) [40]. Additionally, we observed wave breaking [Fig. 4(c,bottom)].

Finally, it would be of interest to verify the proposed shape manipulation strategies by laboratory experiments. Previous theoretical studies [17, 41, 42, 43] suggest that many exact stationary droplet shapes are unstable, thus their relevance to experimental studies is limited. On the other hand, the nonlinear simulations in our study, showing stable rotation, pave the way for future experimental realizations.

Acknowledgements.
This material is based upon work supported by the National Science Foundation under Grant No. CMMI-2029540.

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Appendix A Unstable pattern with k=4k=4

As mentioned in the main text, linear (or even weakly nonlinear) stability does not always imply nonlinear stability (see also [27]). Indeed, it is not known under what conditions the weakly-nonlinear stable droplet shapes are actually nonlinearly stable. In the main text, we presented examples for which this implication holds true. Here, in Fig. 5, we demonstrate, for completeness, an example to the contrary. To the best of our knowledge, such an example has not been analyzed before, and thus remains an avenue of future work. This exploration also requires caution, to rule out physical from numerical instability.

Refer to caption
Figure 5: The unstable evolution of the first 5 harmonic modes (k=4,8,12,16,20k=4,8,12,16,20) from fully nonlinear simulation (solid) and their stable evolution from weakly nonlinear approximation (dashed) for (a) nonrotating (km=4k_{m}=4, NBa=0\mathrm{N_{Ba}}=0) and (b) rotating (km=4k_{m}=4, NBa=1\mathrm{N_{Ba}}=1) shapes.

Appendix B Implementation of the numerical method and grid convergence

The principal value integration in Eqs. (13) is performed numerically by a spectrally accurate spatial scheme [24]:

PVj=2Δs2πij+koddγkzjzk,PV_{j}=\frac{2\Delta s}{2\pi i}\sum_{j+k\;\text{odd}}\frac{\gamma_{k}}{z_{j}-z_{k}}, (16)

where a jj subscript denotes the evaluation of a quantity at the jjth Lagrangian grid point jΔsj\Delta s with Δs=L/N\Delta s=L/N, L=𝑑sL=\oint ds, and NN is the number of grid points. The parametrization of the interface via its arclength reduces the stiffness of the numerical problem caused by the presence of third-order spatial derivatives. A rearrangement of the grid points is conducted with cubic interpolation, after each time step, to maintain uniform grid spacing Δs\Delta s. The uniform arclength spacing then allows the use of the second-order central differentiation formulæ for all derivatives. A fixed-point iteration scheme is used to resolve the implicit Eq. (13b) to obtain γj\gamma_{j} at each interface point zjz_{j}, as shown schematically in Fig. 6.

Time advancement (superscripts denote the time step number) is accomplished with a Crank–Nicolson scheme:

zn+1=zn\displaystyle z^{*n+1}=z^{*n} Δt2[γn+12zsn+1+γn2zsn]\displaystyle-\frac{\Delta t}{2}\left[\frac{\gamma^{n+1}}{2z_{s}^{n+1}}+\frac{\gamma^{n}}{2z_{s}^{n}}\right] (17)
+Δt2[PVn+1+PVn],\displaystyle+\frac{\Delta t}{2}\left[PV^{n+1}+PV^{n}\right],

where both of the nonlinear terms γn+1/2zsn+1\gamma^{n+1}/2z_{s}^{n+1} and PVn+1PV^{n+1} are obtained by subiteration with index mm, as shown schematically in Fig. 6. Equation (17) converges and zn+1=zm+1z^{n+1}=z^{m+1} when zm+1zm<tolz\|z^{m+1}-z^{m}\|<\text{tol}_{z} with tolz=0.1max|ztn|Δt\text{tol}_{z}=0.1\max|z_{t}^{n}|\Delta t.

A grid convergence study with 4 levels of the grid resolution was conducted for two cases: km=7k_{m}=7 and km=9k_{m}=9 with NBa=1\mathrm{N_{Ba}}=1. The most frequently used case in the main text is km=7k_{m}=7, while the sharper peaks for km=9k_{m}=9 demand on the highest grid resolution. Figure 7(a) shows the spectral energy content of harmonic modes (kk, 2k2k, 3k3k, \ldots) of the propagating waveform, where the “piling up” near the tail on the finest grid (N=2048N=2048) is numerical noise. This plot supports our decision to consider the N=1024N=1024 grid as offering sufficient resolution. Figure 7(b) shows the root-mean-squared error in the shape zz itself, taking z^\hat{z} as the “reference shape” on the N=2048N=2048 grid. The error decreases with grid refinement. The error at N=256N=256 for km=9k_{m}=9 is not shown for the propagating shape because the scheme is not even stable on such a coarse mesh for this case.

Figure 7 further shows the evolution of (c) the skewness SkSk and (d) the asymmetry AsAs. The skewness matches well on all grids used, showing it is a well-converged quantity, while the asymmetry is seen to be more sensitive to the grid resolution. The differences between N=1024N=1024 and N=2048N=2048 are small enough so that it is safe to use N=1024N=1024 for the simulations reported in the main text, considering the significantly higher computational cost incurred by using finer grids.

Refer to caption
Figure 6: Flow chart of the vortex-sheet algorithm using Crank–Nicolson for time advancement and fixed-point iteration for resolving the implicit nonlinear terms.
Refer to caption
Figure 7: Grid convergence study for fundamental modes km=7k_{m}=7 (black) and km=9k_{m}=9 (blue) with NBa=1\mathrm{N_{Ba}}=1 and N=256N=256 (dotted), N=512N=512 (dot-dashed), N=1024N=1024 (dashed), and N=2048N=2048 (solid). (a) Spectral energy of harmonic modes (kk, 2k2k, 3k3k, \ldots). (b) The root-mean-square error taking the N=2048N=2048 solution z^\hat{z} as “exact”. (c) Grid convergence of the evolution of the skewness Sk(t)Sk(t). (d) Grid convergence of the evolution of the asymmetry As(t)As(t).