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Rheology of dense suspensions under shear rotation

Frédéric Blanc    François Peters Université Côte d’Azur, CNRS, Institut de Physique de Nice (INPHYNI), France    Jurriaan J.J. Gillissen The Technology Partnership, Science Park, Melbourn, UK.    Michael E. Cates DAMTP, Centre for Mathematical Sciences, University of Cambridge, Wilberforce Road, Cambridge CB3 0WA, UK    Sandra Bosio    Camille Benarroche Université Côte d’Azur, CNRS, Institut de Physique de Nice (INPHYNI), France    Romain Mari Univ. Grenoble Alpes, CNRS, LIPhy, 38000 Grenoble, France
(August 7, 2025)
Abstract

Dense non-Brownian suspensions exhibit a spectacular and abrupt drop in viscosity under change of shear direction, as revealed by shear inversions (reversals) or orthogonal superposition. Here, we introduce an experimental setup to systematically explore their response to shear rotations, where one suddenly rotates the principal axes of shear by an angle θ\theta, and measure the shear stresses with a bi-axial force sensor. Our measurements confirm the genericness of the transient decrease of the resistance to shear under unsteady conditions. Moreover, the orthogonal shear stress, which vanishes in steady state, takes non-negligible values with a rich θ\theta-dependence, changing qualitatively with solid volume fraction ϕ\phi, and resulting in a force that tends to reduce or enhance the direction of flow for small or large ϕ\phi. These experimental findings are confirmed and rationalized by particle-based numerical simulations and a recently proposed constitutive model. We show that the rotation angle dependence of the orthogonal stress results from a ϕ\phi-dependent interplay between hydrodynamic and contact stresses.

Suspensions of non-Brownian hard particles form a large class of complex fluids [1, 2]. They are dense when solid and fluid are mixed in roughly equal proportion. Their widespread use in industry calls for proper constitutive characterization and modelling to enable reliable process design.

In steady state, their viscosity is either deformation-rate-independent [3, 4, 5] or slightly shear thinning [6, 7, 8, 9, 10]. Shear thickening is also observed when particles are repulsive beyond pure hard-core forces [11, 12], but we here focus on the strictly hard-sphere case. The viscosity increases with the solid volume fraction ϕ\phi, and diverges at the jamming volume fraction ϕJ\phi_{\mathrm{J}} [3, 4]. However, dense suspensions exhibit striking unsteady behaviors, e.g. the sharp viscosity drop in orthogonal superposition [13, 14, 15, 16, 17, 18, 19]. In shear reversal, where a suspension initially sheared in steady state under a deformation rate γ˙\dot{\gamma} is suddenly sheared with a rate γ˙-\dot{\gamma}, the viscosity drops suddenly at reversal, passes through a minimum value and climbs up to its steady-state value after a few strain units [20, 21, 22, 23, 24, 25, 26, 27].

Under shear, suspensions develop an anisotropic micro-structure which takes up most of the stress at large concentrations [28, 29, 30, 11, 31, 32, 5, 24] and is built in a finite strain [20]. Upon shear reversal, the micro-structure is initially not compliant with the new direction of shear, leading to a viscosity dip which ends when the micro-structure is rebuilt in the new orientation [20]. This behavior may be a vestige of the fragility of jammed suspensions that can be made to flow by a change of applied load direction [33, 34, 35].

Characterization of the mechanical response to sudden changes of the strain axes, beyond shear reversal (which is the extreme case, as the compressional and elongational axes are swapped) [25, 26], is however absent. Here we fill this gap by considering the response to shear rotations, i.e. rotations of the strain axes by an arbitrary angle θ\theta about the gradient direction. We perform shear rotations in experiments, with a specifically designed rheometer; simulations, using discrete element method (DEM); and the Gillissen-Wilson (GW) constitutive model [36, 37]. This gives us access to the viscosity drop as a function of angle θ\theta and post-rotation strain γ\gamma. This also unveils a new non-Newtonian phenomenon: following a shear rotation, the shear viscosity orthogonal to the flow direction, η32\eta_{32}, is transiently finite, reaching up to 50 %50\text{\,}\mathrm{\char 37\relax} of the usual shear viscosity η12\eta_{12} for large ϕ\phi. Moreover, we show that the nature of angular dependence of η32\eta_{32} depends on ϕ\phi: while at moderate ϕ\phi, η32\eta_{32} shows a change of sign in θ[0,π]\theta\in[0,\pi], associated to a force resisting shear rotation for small θ\theta values, for the largest ϕ\phi values it keeps a constant sign. We show that this is due to the decreasing relative contribution of hydrodynamic stresses versus contact stresses when ϕ\phi increases.

Experimental setup

Refer to caption
Figure 1: Sketch of the setup. (a) View along the flow-gradient direction. Two translation stages (light green) independently move an upper plate (orange) and a lower plate (green gray), between which the suspension (light gray) is sheared. (b) Shear plane view. A force sensor measures the tangential stresses. (c) View along the flow-gradient direction of the trajectory (thick white line) of the top plate relative to the bottom plate during a shear rotation by an angle θ\theta. A transient force 𝑭=F𝒆1+F𝒆3\bm{F}=F_{\parallel}\bm{e}_{1}+F_{\perp}\bm{e}_{3} is recorded after the shear rotation.

We designed a cross rheometer [38, 39], sketched in Fig. 1, made with two parallel plates mounted on two motorized linear stages of 25mm stroke (Newport MFA-CC) acting in perpendicular directions, allowing for arbitrary relative parallel motion and therefore arbitrary simple shear with velocity gradient orthogonal to the plates. We apply a simple shear (Fig. 1(b)) with velocity gradient 𝑳=γ˙𝒆1𝒆2\bm{L}=\dot{\gamma}\bm{e}_{1}\bm{e}_{2} (with 𝒆1\bm{e}_{1}, 𝒆2\bm{e}_{2} and 𝒆3\bm{e}_{3} respectively the flow, gradient and vorticity directions), from which we define the strain-rate tensor 𝑬=γ˙𝑬^(𝑳+𝑳T)/2\bm{E}=\dot{\gamma}\hat{\bm{E}}\equiv(\bm{L}+\bm{L}^{\mathrm{T}})/2. The shear rate γ˙\dot{\gamma} is related to the velocity of the top plane relative to the bottom plane 𝒗=γ˙g𝒆1\bm{v}=\dot{\gamma}g\bm{e}_{1}, g=1 mmg=$1\text{\,}\mathrm{mm}$ being the gap width between the two plates.

A force sensor (AMTI HE6x6-1) measures the tangential force F=F+F\vec{F}=\vec{F}_{\parallel}+\vec{F}_{\perp} exerted on the lower plate (and thus by the upper plate on the suspension), with F\vec{F}_{\parallel} and F\vec{F}_{\perp} respectively along 𝒆1\bm{e}_{1} and 𝒆3\bm{e}_{3} (Fig. 1(b)-(c)). We define the shear viscosity η12𝚺:𝒆1𝒆2/γ˙=F𝒆1/(Sγ˙)\eta_{12}\equiv\bm{\Sigma}:\bm{e}_{\mathrm{1}}\bm{e}_{\mathrm{2}}/\dot{\gamma}=\vec{F}_{\parallel}\cdot\bm{e}_{1}/(S\dot{\gamma}), with SS the area of the upper plate, as well as the “orthogonal” shear viscosity η32𝚺:𝒆3𝒆2/γ˙=F𝒆3/(Sγ˙)\eta_{32}\equiv\bm{\Sigma}:\bm{e}_{\mathrm{3}}\bm{e}_{\mathrm{2}}/\dot{\gamma}=\vec{F}_{\perp}\cdot\bm{e}_{3}/(S\dot{\gamma}). Both have opposite θ\theta-parities: η12\eta_{12} is even, η12(γ,θ)=η12(γ,θ)\eta_{12}(\gamma,\theta)=\eta_{12}(\gamma,-\theta), while η32\eta_{32} is odd, η32(γ,θ)=η32(γ,θ)\eta_{32}(\gamma,\theta)=-\eta_{32}(\gamma,-\theta) (in particular this enforces that η32(γ,0)\eta_{32}(\gamma,0) and η32(γ,π)\eta_{32}(\gamma,\pi) vanish).

A preshear is first applied over 10 strain units, which is enough to reach steady state, followed by a shear rotation where we rotate the flow direction 𝒆1\bm{e}_{1} and vorticity direction 𝒆3\bm{e}_{3} by an angle θ[π,π]\theta\in[-\pi,\pi] around the gradient direction 𝒆2\bm{e}_{2} (thick white line in Fig. 1(c)). The imposed shear rate is set at γ˙=0.4s1\dot{\gamma}=0.4\,\mathrm{s}^{-1} for all presented experimental data.

The viscosities η12(γ,θ)\eta_{12}(\gamma,\theta) and η32(γ,θ)\eta_{32}(\gamma,\theta) are recorded via a Data Acquisition System (USB-1608FS-PLUS, MCCDAQ) as a function of the subsequent strain γ<10\gamma<10. The strain resolution is 3×103\approx$3\text{\times}{10}^{-3}$, the lowest available strain is 1×102\approx$1\text{\times}{10}^{-2}$, and θ\theta is sampled every π/18\pi/18.

The suspension particles are polystyrene spheres with a diameter of 40 µm40\text{\,}\mathrm{\SIUnitSymbolMicro m} (Microbeads TS40). They are dispersed in poly(ethylene glycol-ran-propylene glycol) (Sigma-Aldrich, viscosity η0=38.4 Pa s\eta_{0}=$38.4\text{\,}\mathrm{Pa}\text{\,}\mathrm{s}$ at 25 °C25\text{\,}\mathrm{\SIUnitSymbolCelsius}, Mn12 000M_{\mathrm{n}}\approx$12\,000$) for suspensions at ϕ=0.45\phi=0.45 or silicone oil (M1000, Roth, η0=0.98 Pa s\eta_{0}=$0.98\text{\,}\mathrm{Pa}\text{\,}\mathrm{s}$ at 25 °C25\text{\,}\mathrm{\SIUnitSymbolCelsius}) at ϕ=0.55\phi=0.55 and 0.570.57.

Numerics & model

We perform the same protocol in DEM simulations of a suspension of N=2000N=2000 frictional particles subject to lubrication and contact forces in a tri-periodic configuration, using a method described in [39, 31]. The suspension is bidisperse (with a size ratio 1:1.41:1.4) and the friction coefficient is μp=0.5\mu_{\mathrm{p}}=0.5, in order to match the viscosity values observed experimentally.

We also compare our results to the predictions of the GW model, a model capturing the features of shear reversal [36, 40]. A detailed derivation and discussion of the underlying assumptions of the GW model can be found in [37]. The GW model considers the strain evolution of a fabric tensor 𝒏𝒏\langle\bm{n}\bm{n}\rangle where 𝒏\bm{n} is the unit separation vector between pairs of particles in a near interaction via contact or lubrication forces

γ𝒏𝒏=𝑳^𝒏𝒏+𝒏𝒏𝑳^T2𝑳^:𝒏𝒏𝒏𝒏β[𝑬^e:𝒏𝒏𝒏𝒏+ϕ15(2𝑬^c+Tr(𝑬^c)𝜹)].\partial_{\gamma}\langle\bm{n}\bm{n}\rangle=\hat{\bm{L}}\cdot\langle\bm{n}\bm{n}\rangle+\langle\bm{n}\bm{n}\rangle\cdot\hat{\bm{L}}^{\mathrm{T}}-2\hat{\bm{L}}:\langle\bm{nnnn}\rangle\\ -\beta\left[\hat{\bm{E}}_{\mathrm{e}}:\langle\bm{nnnn}\rangle+\frac{\color[rgb]{0,0,0}\phi\color[rgb]{0,0,0}}{15}\left(2\hat{\bm{E}}_{\mathrm{c}}+\operatorname{Tr}(\hat{\bm{E}}_{\mathrm{c}})\bm{\delta}\right)\right]\,. (1)

The top line of Eq. (1) describes that particle pairs rotate like dumbbells with the velocity gradient 𝑳^=𝑳/γ˙\hat{\bm{L}}=\bm{L}/\dot{\gamma} and the bottom line describes the association and dissociation of particle pairs due to the compressive part 𝑬^c\hat{\bm{E}}_{\mathrm{c}} and the extensive part 𝑬e^\hat{\bm{E}_{\mathrm{e}}} of the strain rate tensor 𝑬^\hat{\bm{E}} which pushes particles together and pulls them apart, respectively. The pair association (and dissociation) rate β\beta is a tuneable parameter. The tensor 𝒏𝒏𝒏𝒏\langle\bm{nnnn}\rangle is approximated in terms of 𝒏𝒏\langle\bm{n}\bm{n}\rangle with the Hinch & Leal closure [41]. Furthermore, the GW model decomposes the stress 𝚺=𝚺H+𝚺C+2η0𝑬\bm{\Sigma}=\bm{\Sigma}^{\mathrm{H}}+\bm{\Sigma}^{\mathrm{C}}+2\eta_{0}\bm{E} in contributions from hydrodynamics, 𝚺H\bm{\Sigma}^{\mathrm{H}}, and contacts, 𝚺C\bm{\Sigma}^{\mathrm{C}},

𝚺Hηsγ˙=α0𝑬^:𝒏𝒏𝒏𝒏(1ϕ/ϕRCP)2,\displaystyle\frac{\bm{\Sigma}^{\mathrm{H}}}{\eta_{\mathrm{s}}\dot{\gamma}}=\frac{\alpha_{0}\hat{\bm{E}}:\langle\bm{nnnn}\rangle}{\left(1-\phi/\phi_{\mathrm{RCP}}\right)^{2}}, 𝚺Cηsγ˙=χ0𝑬^c:𝒏𝒏𝒏𝒏(1ξ/ξJ)2,\displaystyle\frac{\bm{\Sigma}^{\mathrm{C}}}{\eta_{\mathrm{s}}\dot{\gamma}}=\frac{\chi_{0}\hat{\bm{E}}_{\mathrm{c}}:\langle\bm{nnnn}\rangle}{\left(1-\xi/\xi_{\mathrm{J}}\right)^{2}}, (2)

where α0\alpha_{0} and χ0\chi_{0} are tuneable parameters. 𝚺H\bm{\Sigma}^{\mathrm{H}} diverges when ϕ\phi approaches the random close packing volume fraction ϕRCP=0.65\phi_{\mathrm{RCP}}=0.65 and 𝚺C\bm{\Sigma}^{\mathrm{C}} diverges when the ‘jamming coordinate’ ξ=𝒏𝒏:𝑬c|𝑬c|1\xi=-\langle\bm{n}\bm{n}\rangle:\bm{E}_{\mathrm{c}}|\bm{E}_{\mathrm{c}}|^{-1}, a proxy for the coordination number, approaches the jamming value ξJ\xi_{\mathrm{J}}. By demanding that, in steady shear flow, 𝚺C\bm{\Sigma}^{\mathrm{C}} diverges when ϕ\phi approaches the friction-dependent jamming volume fraction ϕJ=0.58\phi_{\mathrm{J}}=0.58, we have previously shown that: ξJ=ϕJ(213β2234β+2080)[15(9β2+54β+416)]1\xi_{\mathrm{J}}=\phi_{\mathrm{J}}\left(213\beta^{2}-234\beta+2080\right)\left[15\left(9\beta^{2}+54\beta+416\right)\right]^{-1} [37]. In the SI we argue our choices for α0=2.4\alpha_{0}=2.4, χ0=2.3\chi_{0}=2.3 and β=7\beta=7.

Results

Refer to caption
Figure 2: (a) Shear viscosity η12\eta_{12} normalized by the steady-state value η12SS\eta_{12}^{\mathrm{SS}} as a function of strain γ\gamma in experiments for ϕ=0.45\phi=0.45, for several values of θ[0,π]\theta\in[0,\pi], increasing from light to dark. The minimum values of the viscosity η12min/η12SS\eta_{12}^{\mathrm{min}}/\eta_{12}^{\mathrm{SS}} for each θ\theta are circled. (b) and (c) η12min/η12SS\eta_{12}^{\mathrm{min}}/\eta_{12}^{\mathrm{SS}} and orthogonal viscosity just after rotation η320+/η12SS\eta_{32}^{0^{+}}/\eta_{12}^{\mathrm{SS}} as a function of shear rotation angle θ\theta for ϕ=0.45,0.55\phi=0.45,0.55 and 0.570.57. (d) and (e) Polar representation of η12(γ,θ)\eta_{12}(\gamma,\theta) and η32(γ,θ)\eta_{32}(\gamma,\theta), normalized by η12SS\eta_{12}^{\mathrm{SS}}, for ϕ=0.45\phi=0.45, in experiments (top halves) and numerical simulations (bottom halves). Symmetries impose that η12\eta_{12} is even, η12(γ,θ)=η12(γ,θ)\eta_{12}(\gamma,\theta)=\eta_{12}(\gamma,-\theta), and η32\eta_{32} is odd, η32(γ,θ)=η32(γ,θ)\eta_{32}(\gamma,\theta)=-\eta_{32}(\gamma,-\theta). (f) and (g) Same, but for ϕ=0.57\phi=0.57.

In Fig. 2(a), we show the viscosity η12(γ,θ)\eta_{12}(\gamma,\theta) measured in experiments, for a moderately dense suspension at ϕ=0.45\phi=0.45. It decreases at low strain values, then passes through a minimum before increasing back to its steady-state value. The minimum is located at a strain γmin\gamma_{\mathrm{min}} weakly dependent on θ\theta, from γmin0.15\gamma_{\mathrm{min}}\approx 0.15 for θπ/2\theta\approx\pi/2 to γmin0.35\gamma_{\mathrm{min}}\approx 0.35 for shear reversal (θ=π\theta=\pi). As shown in Fig. 2(b), the minimum value η12min\eta_{12}^{\mathrm{min}} gradually decreases when θ\theta increases, to reach its lowest value for shear reversal. Once normalized by the steady-state value η12SS\eta_{12}^{\mathrm{SS}}, η12min/η12SS\eta_{12}^{\mathrm{min}}/\eta_{12}^{\mathrm{SS}} for a given θ\theta decreases when ϕ\phi increases, as is already known for shear reversal [25]. Interestingly, for the lowest ϕ=0.45\phi=0.45, η12minη12SS\eta_{12}^{\mathrm{min}}\approx\eta_{12}^{\mathrm{SS}} for θπ/4\theta\lesssim\pi/4: the suspension seems oblivious to the shear rotation at small angles. We will see that this is not quite true when considering η32\eta_{32}.

We compare these data with the DEM ones in a radial representation η12(γ,θ)\eta_{12}(\gamma,\theta) in Fig. 2(d), with experiments in the top half and numerics in the bottom half. The agreement is good, besides simulations predicting a quicker relaxation to steady state than actually observed.

We turn in Fig. 2(e) to η32\eta_{32}, again comparing experiments in the top half and numerics in the bottom half. Both datasets are in excellent agreement and reveal a structure mixing first and second order odd circular harmonics (respectively sinθ\propto\sin\theta and sin2θ\propto\sin 2\theta) with similar amplitudes. For 0<θπ/20<\theta\lesssim\pi/2, we find η32<0\eta_{32}<0 for γ1\gamma\lesssim 1, i.e. the suspension exerts on the top plate a “restoring” force in the direction of decreasing θ\theta values. In a force control setup where one sets the upper plate force F\vec{F}_{\parallel} rather than its displacement, the suspension would thus be stable with respect to shear rotations, by rotating the velocity of the top plate towards lower θ\theta values. By contrast, for π/2θ<π\pi/2\lesssim\theta<\pi, we find η32>0\eta_{32}>0 for γ2\gamma\lesssim 2, which can be interpreted as the suspension tending to rotate the trajectory of the top plate towards larger θ\theta values.

In Fig. 2(f),(g), we show η12\eta_{12} and η32\eta_{32} for ϕ=0.57\phi=0.57. Both experimental and numerical data show that the relaxation to steady state is quicker than at ϕ=0.45\phi=0.45, with a smaller η12min/η12SS\eta_{12}^{\mathrm{min}}/\eta_{12}^{\mathrm{SS}} value [25, 27]. More importantly, the first harmonic of η32\eta_{32} dominates. For 0<θ<π0<\theta<\pi, we find η32>0\eta_{32}>0: the suspension always tends to push the top plate to move towards larger θ\theta values, that is, the response is no longer stabilizing for small shear rotations. In Fig. 2(c), we highlight this qualitative change by showing the θ\theta dependence of the values just after rotation η320+\eta_{32}^{0^{+}}.

Our simulations also show that the fabric evolution after shear rotation does not mimic the full stress response but only its contact contribution [39]. Notably, the fabric evolution does not exhibit any qualitative change upon increase of ϕ\phi that we could correlate to the change of behavior of η32\eta_{32}.

Refer to caption
Figure 3: Contributions to the orthogonal viscosity from contacts (a) and hydrodynamics (b), in the GW model in the top halves and DEM simulations in the bottom halves, for ϕ=0.45\phi=0.45. We chose ϕRCP=0.65\phi_{\mathrm{RCP}}=0.65, ϕJ=0.58\phi_{\mathrm{J}}=0.58, α0=2.3\alpha_{0}=2.3 χ0=2.4\chi_{0}=2.4, and β=7\beta=7, based on earlier comparisons with DEM simulations [37, 39]. We recall that η32\eta_{32} is odd, η32(γ,θ)=η32(γ,θ)\eta_{32}(\gamma,\theta)=-\eta_{32}(\gamma,-\theta). (c) A particle during initial shear at t=0t=0^{-} has more near contacts in compressional quadrants (red) than elongational quadrants (blue). (d)–(e) Looking down from the gradient direction, just after shear rotation by θ=π/2\theta=\pi/2 the new compressional and elongational quadrants are respectively below and above the dashed lines. Contact forces come from the new compressional, and are dominated by the more numerous contacts in the old compressional (red arrow), leading to η32C>0\eta_{32}^{\mathrm{C}}>0 (d). Hydrodynamic forces have symmetric contributions from new compressional and elongational quadrants, leading to η32H=0\eta_{32}^{\mathrm{H}}=0 (e).

To understand the origin of the η32\eta_{32} behavior, we interrogate the GW model and its predictions for the contact and hydrodynamic contributions to the stress response. As shown in Fig. 3(a), the contact contribution η32C\eta^{\mathrm{C}}_{32} has a dominant first harmonic, with η32C>0\eta^{\mathrm{C}}_{32}>0 for 0<θ<π0<\theta<\pi. The large second harmonic of η32\eta_{32} is instead due to the hydrodynamic component η32H\eta^{\mathrm{H}}_{32} (Fig. 3(b)), which at ϕ=0.45\phi=0.45 still accounts for a substantial part of the total stress [32]. This is confirmed by numerical simulations, which compare well to the predictions of the model.

The difference between contact and hydrodynamic contributions can be qualitatively understood. In Fig. 3(c), we sketch in the shear plane a particle during preshear. It shows a fore-aft asymmetry: it has more near interactions (lubricated and in contact) in the compressional quadrants (in red) than in the elongational one (in blue). The same particle is seen from the gradient direction 𝒆2\bm{e}_{2} right after a shear rotation with θ=π/2\theta=\pi/2 in Fig. 3(d),(e). After rotation, the fore-aft asymmetry accumulated in preshear is a “left-right” asymmetry, and fore-aft symmetry is temporarily restored. Post-rotation contact stresses (Fig. 3(d)) stem from contacts in the post-rotation compressional quadrant, below the dashed line, and due to the left-right asymmetry, are dominated by contacts that carry over from the pre-rotation in the intersect of pre- and post-rotation compressional quadrants. Contact forces FC\vec{F}_{\mathrm{C}} in this overlap region (red vector) are such that 𝒆3FC>0\bm{e}_{3}\cdot\vec{F}_{\mathrm{C}}>0, giving a positive contribution to η32\eta_{32}. By contrast, in Fig. 3(d), all interactions contribute hydrodynamic forces, and the fore-aft symmetry ensures that the hydrodynamic contribution from the post-rotation elongational and compressional quadrants share the same 𝒆1\bm{e}_{1} component, but have opposite 𝒆3\bm{e}_{3} component. This results in a net-zero hydrodynamic contribution to η32\eta_{32}.

Whereas this reasoning can be extended to show that η32C>0\eta^{\mathrm{C}}_{32}>0 for θ]0,π[\theta\in]0,\pi[, the sign of η32H\eta^{\mathrm{H}}_{32} for θπ/2\theta\neq\pi/2 depends on aspects of the distribution of near interactions that cannot be deduced from symmetry considerations. The GW model however gives us a quantitative picture alongside a microstructural insight. Calling 𝒏𝒏ss\langle\bm{n}\bm{n}\rangle^{\mathrm{ss}} the steady-state fabric in pre-shear, we get the following contributions to η32\eta_{32} at γ=0+\gamma=0^{+} [39]

η32Hηs\displaystyle\frac{\eta^{\mathrm{H}}_{32}}{\eta_{\mathrm{s}}} =α(ϕ)14sin2θ(𝒏𝒏xxss𝒏𝒏zzss)\displaystyle=\frac{\alpha(\phi)}{14}\sin 2\theta\left(\langle\bm{n}\bm{n}\rangle^{\mathrm{ss}}_{xx}-\langle\bm{n}\bm{n}\rangle^{\mathrm{ss}}_{zz}\right) (3)
η32Cηs\displaystyle\frac{\eta^{\mathrm{C}}_{32}}{\eta_{\mathrm{s}}} =χ(ξ)7[sin2θ4(𝒏𝒏xxss𝒏𝒏zzss)sinθ𝒏𝒏xyss],\displaystyle=\frac{\chi(\xi)}{7}\left[\frac{\sin 2\theta}{4}\left(\langle\bm{n}\bm{n}\rangle^{\mathrm{ss}}_{xx}-\langle\bm{n}\bm{n}\rangle^{\mathrm{ss}}_{zz}\right)-\sin\theta\langle\bm{n}\bm{n}\rangle^{\mathrm{ss}}_{xy}\right]\,,

with

ξ=[cos2θ𝒏𝒏xxss+𝒏𝒏yyss+sin2θ𝒏𝒏zzss2cosθ𝒏𝒏xyss]/2.\xi=\big{[}\cos^{2}\theta\langle\bm{n}\bm{n}\rangle^{\mathrm{ss}}_{xx}+\langle\bm{n}\bm{n}\rangle^{\mathrm{ss}}_{yy}+\sin^{2}\theta\langle\bm{n}\bm{n}\rangle^{\mathrm{ss}}_{zz}\\ -2\cos\theta\langle\bm{n}\bm{n}\rangle^{\mathrm{ss}}_{xy}\big{]}/2\,.

For the contact contribution, the first harmonic dominates for the values of ϕ\phi and β\beta investigated. It is such that η32C>0\eta^{\mathrm{C}}_{32}>0 for 0<θ<π0<\theta<\pi. By contrast, the hydrodynamic contribution only has a second harmonic. Therefore, when α(ϕ)/χ(ξ)\alpha(\phi)/\chi(\xi) is large enough, the four-lobed hydrodynamic response dominates, which happens at moderate ϕ\phi. However, since contact stresses diverge for ϕϕJ\phi\to\phi_{\mathrm{J}} while hydrodynamic stresses diverge for ϕϕRCP>ϕJ\phi\to\phi_{\mathrm{RCP}}>\phi_{\mathrm{J}}, the two-lobed contact response takes over when ϕ\phi moves closer to ϕJ\phi_{J}.

The sign of η32H\eta^{\mathrm{H}}_{32} is not obvious, as it is set by 𝒏𝒏xxss𝒏𝒏zzss\langle\bm{n}\bm{n}\rangle^{\mathrm{ss}}_{xx}-\langle\bm{n}\bm{n}\rangle^{\mathrm{ss}}_{zz}. With our value of β=7\beta=7, we always find 𝒏𝒏xxss𝒏𝒏zzss<0\langle\bm{n}\bm{n}\rangle^{\mathrm{ss}}_{xx}-\langle\bm{n}\bm{n}\rangle^{\mathrm{ss}}_{zz}<0 in the GW model. For small θ\theta values, it therefore “stabilizes” the microstructure, as sgnη32H=sgnθ\operatorname{sgn}\eta^{\mathrm{H}}_{32}=-\operatorname{sgn}\theta: it provides a restoring force acting against the rotation of the flow direction. In simulations, 𝒏𝒏xxss𝒏𝒏zzss\langle\bm{n}\bm{n}\rangle^{\mathrm{ss}}_{xx}-\langle\bm{n}\bm{n}\rangle^{\mathrm{ss}}_{zz} is measured tiny [27]. To test the GW model predictions, from our DEM simulations we compute 𝒏𝒏\langle\bm{n}\bm{n}\rangle based on particle pairs separated by at most a gap of ϵc=0.05\epsilon_{\mathrm{c}}=0.05 times the average radius of the pair. We find 𝒏𝒏xxss𝒏𝒏zzss<0\langle\bm{n}\bm{n}\rangle^{\mathrm{ss}}_{xx}-\langle\bm{n}\bm{n}\rangle^{\mathrm{ss}}_{zz}<0, albeit decreasing in amplitude when ϕ\phi increases. Interestingly, the value of 𝒏𝒏xxss𝒏𝒏zzss\langle\bm{n}\bm{n}\rangle^{\mathrm{ss}}_{xx}-\langle\bm{n}\bm{n}\rangle^{\mathrm{ss}}_{zz} becomes positive for small enough ϵc\epsilon_{\mathrm{c}}, which highlights how subtle the hydrodynamic stabilization is.

We performed shear rotations experimentally, numerically, and in a constitutive model, measuring both the shear viscosity η12\eta_{12} and the orthogonal viscosity η32\eta_{32} which is not measurable in a conventional rotational rheometer. It revealed a rich phenomenology. The shear viscosity exhibits a dip (except at small θ\theta for the smallest ϕ\phi explored here, ϕ=0.45\phi=0.45) on strain scales of order unity or less, and its amplitude increases upon increase of |θ||\theta| or ϕ\phi. Remarkably, we find that η320\eta_{32}\neq 0 during the post-rotation transient, with |η32||\eta_{32}| reaching up to 50 %50\text{\,}\mathrm{\char 37\relax} of η12\eta_{12} at ϕ=0.57\phi=0.57, and 10 %10\text{\,}\mathrm{\char 37\relax} of η12SS\eta_{12}^{\mathrm{SS}}. The qualitative angular structure of η32(γ,θ)\eta_{32}(\gamma,\theta) depends on ϕ\phi, which is explained by the predominance of either hydrodynamic or contact stresses. For ϕ=0.45\phi=0.45, the second harmonic of η(γ,θ)\eta(\gamma,\theta) is large as hydrodynamic stresses are significant, while for ϕ=0.57\phi=0.57 it is small as contact stresses dominate. Consequently, for small θ\theta, η32\eta_{32} produces a force that acts to reduce (stabilize) θ\theta at smaller ϕ\phi while it increases (destabilizes) θ\theta at larger ϕ\phi.

In an actual non-uniform or unsteady flow where strain axes rotation occur over a strain γunsteady\gamma_{\mathrm{unsteady}}, we can define a Deborah-like number De=γmin/γunsteady\mathrm{De}=\gamma_{\mathrm{min}}/\gamma_{\mathrm{unsteady}} [42, 43], such that one should expect to observe the transient effects described here when De1\mathrm{De}\gtrsim 1. The decrease of η12\eta_{12} under shear rotations has already been used to suggest energy-saving flow strategies [16, 17, 19], however the behavior of η32\eta_{32} has so far been overlooked. Whereas in this work we impose the deformation and measure η32\eta_{32}, in many cases one imposes the force or stress. A finite η32\eta_{32} may lead to non-trivial trajectories, e.g. during the pulling or the sedimentation of an object in a dense suspension, especially if the suspension is not stable against shear rotations.

We have focused on a subset of the possible flow changes in a complex geometry. One would also need to characterize changes from simple shear to extensional flows and non-uniform flows, which are known to induce migration phenomena [44]. While characterizing all flow histories relevant for applications (or even a carefully selected subset) is a major task, our results show that it would certainly reveal non-trivial yet possibly important stress responses. The GW model captures the salient features of the stress response under shear rotation and in non-uniform flows [45], and could also prove an efficient design tool in this endeavour.

Acknowledgements.

Work funded in part by the European Research Council under the Horizon 2020 Programme, ERC grant agreement number 740269.

References