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Two-phase volume-averaged predictive theory of dilute ferrofluid spin-up flow in a rotating magnetic field

Published online by Cambridge University Press:  08 February 2024

Zakaria Larbi
Affiliation:
Laboratoire de Mécanique des Fluides Théorique et Appliquée, Département d’Énergétique et de Mécanique des Fluides, Faculté de Physique, Université des Sciences et de la Technologie Houari Boumédiène, BP 32, El Alia, Bab Ezzouar, 16111 Algiers, Algeria
Faïçal Larachi*
Affiliation:
Department of Chemical Engineering, Université Laval, Québec, QC, Canada G1V 0A6
Abdelwahid Azzi
Affiliation:
Laboratoire de Transports Polyphasiques et Milieux Poreux, Faculté de Génie Mécanique et Génie des Procédés, Université des Sciences et de la Technologie Houari Boumédiène, BP 32, El Alia, Bab Ezzouar, 16111 Algiers, Algeria
*
†Email address for correspondence: faical.larachi@gch.ulaval.ca

Abstract

We have developed a parameter-free, two-phase, volume-averaged approach to predictively describe the spin-up flow of dilute, cluster-free ferrofluids excited by low-frequency rotating magnetic fields. Predictive validation of the model was performed through a thorough comparison with local velocity profile measurements, and it demonstrated its ability to capture the spin-up flow dynamics without the need for parameter tuning by carefully delineating the validity domain of the ferrofluid dilutedness conditions. To gain insight into the underlying flow mechanisms, we performed a systematic parametric analysis examining the effects of the induced magnetic field, the dipolar interactions between magnetic nanoparticles and the demagnetizing field. How these mechanisms shape the flow of dilute ferrofluids excited by low-frequency rotating fields in a standard spin-up flow geometry has been addressed using probabilistic nanoparticle orientational dynamics, combining Faxén's laws and the Smoluchowski equation to describe the transport of particle magnetic moments. Our findings revealed that the induced magnetic field is the primary driving force of ferrofluid spin-up flow. The dipole interactions and demagnetizing field, on the other hand, contribute only as secondary phenomena to the overall flow behaviour. Furthermore, we have discussed the potential extension of the two-phase approach, in particular with respect to the formation of chain-like aggregates under the influence of strong magnetic fields. Overall, our study provides valuable insights into the complex dynamics of ferrofluid flow and contributes to a comprehensive understanding of the key mechanisms governing the spin-up flow of dilute ferrofluids excited by low-frequency rotating magnetic fields.

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This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press
Figure 0

Figure 1.Schematic of a ferrofluid spin-up flow geometry in a cylindrical enclosure (a) and a zoomed-in view of a single magnetic nanoparticle (b) subjected to a magnetic field. Here $\boldsymbol {m}$ refers to the orientation of the magnetization vector $\boldsymbol {M}$. Spin-up flow is generated by rotating an external constant modulus magnetic field perpendicular to the axis of symmetry of the cylindrical cell containing the ferrofluid (see (5.1)).

Figure 1

Figure 2.Schematic description of a REV of a suspension composed of a liquid and rigid spherical particles.

Figure 2

Figure 3.Schematic description of Faxén's laws (3.8) to (3.10), expressing the momentum exchange between the liquid and particle. (a) The arrows pointing in and out describe the stresslet exerted on the liquid by a particle in the case of a straining flow. (b) The rotating arrows illustrate the moment exerted by a spinning particle on the liquid. (c) The arrow describes the drag force exerted by a flowing liquid on a particle.

Figure 3

Figure 4.The evolution of particle orientation in hydrostatic equilibrium, $\vert \langle \boldsymbol {m}_{eq}\rangle \vert / \epsilon _{p}$, as a function of the Langevin parameter $\alpha$. The continuous curve was calculated using (4.9), while the dashed curves were calculated using (4.25).

Figure 4

Figure 5.Comparison of experimental and theoretical predictions for the local velocity field along the azimuthal direction for the cases of ferrofluids WBF-1 and WBF-2: (a) WBF-1 – $f_0=150\ {\rm Hz}$; (b) WBF-1 – $\mu _0 H_0 = 5.6\ {\rm mT}$; (c) WBF-2.

Figure 5

Figure 6.Comparison of Torres-Diaz et al. (2014) experimental results and model prediction with respect to the torque $L_w$ (6.1), for WBF-1 and WBF-2 ferrofluids: (a) WBF-1; (b) WBF-2.

Figure 6

Figure 7.Effect of an external magnetic field on the evolution of the induced local magnetic field and the particle magnetic moment orientations in the case of a WBF ($\epsilon _{{p},0}=0.001$, $f_0=100\ {\rm Hz}$, $D_{p}=15\ {\rm nm}$, $M_{d}=425\ {\rm kA}\ {\rm m}^{-1}$).

Figure 7

Figure 8.Effect of magnetic field frequency $f_0$, on the evolution of the radial profiles of (a) the (dimensionless) azimuthally induced magnetic field component and the orientation of the nanoparticle magnetic moment in terms of the (b) azimuthal and (c) radial components in the case of a WBF ($\epsilon _{{p},0}=0.001$, $D_{p}=15\ {\rm nm}$, $M_{d}=425\ {\rm kA}\ {\rm m}^{-1}$, $H_0=2.18\ {\rm kA}\ {\rm m}^{-1}$). In panel (c), the radial projection of the nanoparticle orientation via the Langevin equation (4.25) using the induced radial magnetic field is compared with $m_r$.

Figure 8

Figure 9.The effect of magnetic field intensity and rotation frequency on the lag angle in the case of a WBF ($\epsilon _{{p},0}=0.001$, $D_{p}=15\ {\rm nm}$, $M_{d}=425\ {\rm kA}\ {\rm m}^{-1}$): (a) $f_0=100\ {\rm Hz}$; (b) $\alpha =0.8$.

Figure 9

Figure 10.Effect of magnetic field intensity on the Kelvin body force and particle transport, for $f_0=100\ {\rm Hz}$, in the case of WBF ($\epsilon _{{p},0}=0.001$, $D_{p}=15\ {\rm nm}$, $M_{d}=425\ {\rm kA}\ {\rm m}^{-1}$).

Figure 10

Figure 11.Effect of frequency and magnetic field on the net dimensionless particles spin $w^{\ast }$ in the case of a WBF ($\epsilon _{p}=0.001$, $D_{p}=15\ {\rm nm}$, $M_{d}=425\ {\rm kA}\ {\rm m}^{-1}$): (a) $f_0=100\ {\rm Hz}$; (b) $\alpha =0.5$.

Figure 11

Figure 12.Effect of frequency and magnetic field on the velocity profile in the case of a WBF ($\epsilon _{p}=0.001$, $D_{p}=15\ {\rm nm}$, $M_{d}=425\ {\rm kA}\ {\rm m}^{-1}$): (a) $\alpha =0.5$; (b) $f_0=100\ {\rm Hz}$.

Figure 12

Figure 13.Effect of DDI on the velocity profile for $\alpha =0.8$ and $f_0=100\ {\rm Hz}$ in the case of water based ferrofluid ($M_{d}=425\ {\rm kA}\ {\rm m}^-$): (a) $D_{p}=10\ {\rm nm}$; (b) $D_{p}=20\ {\rm nm}$.

Figure 13

Figure 14.Effect of particles’ demagnetization on the velocity profile for, $f_0=100\ {\rm Hz}$, in the case of WBF ($M_{d}=425\ {\rm kA}\ {\rm m}^{-1}$): (a) $\epsilon _{p}=0.001$ and $D_{p}=10\ {\rm nm}$; (b) $\epsilon _{p}=0.001$ and $D_{p}=20\ {\rm nm}$; (c) $\epsilon _{p}=0.005$ and $D_{p}=10\ {\rm nm}$; (d) $\epsilon _{p}=0.005$ and $D_{p}=20\ {\rm nm}$; (e) $\epsilon _{p}=0.01$ and $D_{p}=10\ {\rm nm}$; (f) $\epsilon _{p}=0.01$ and $D_{p}=20\ {\rm nm}$.

Figure 14

Figure 15.Comparison of the present model with the experimental results of Torres-Diaz et al. (2014) for $\alpha >1$ and $w_0 \tau _{B} \sim 1$: (a) WBF1; (b) WGBF.

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