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A two-phase pure slurry model for planetary cores: one-dimensional solutions and implications for Earth's F-layer

Published online by Cambridge University Press:  24 November 2023

Fryderyk Wilczyński*
Affiliation:
School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK
Christopher J. Davies
Affiliation:
School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK
Christopher A. Jones
Affiliation:
Department of Applied Mathematics, University of Leeds, Leeds LS2 9JT, UK
*
Email address for correspondence: amtfw@leeds.ac.uk

Abstract

We develop and analyse a continuum model of two-phase slurry dynamics for planetary cores. Mixed solid–liquid slurry regions may be ubiquitous in the upper cores of small terrestrial bodies and have also been invoked to explain anomalous seismic structure in the F-layer at the base of Earth's liquid iron core. These layers are expected to influence the dynamics and evolution of planetary cores, including their capacity to generate global magnetic fields; however, to date, models of two-phase regions in planetary cores have largely ignored the complex fluid dynamics that arises from interactions between phases. As an initial application of our model, and to focus on fundamental fluid dynamical processes, we consider a non-rotating and non-magnetic slurry comprised of a single chemical component with a temperature that is tied to the liquidus. We study one-dimensional solutions in a configuration set up to mimic Earth's F-layer, varying gravitational strength $R$, the solid/liquid viscosity ratio $\lambda _{\mu }$ and the interaction parameter $K$, which measures friction between the phases. We develop scalings describing behaviour in the limit $R \gg 1$ and $\lambda _{\mu } \gg 1$, which are in excellent agreement with our numerical results. Application to Earth's core, where $R \sim 10^{28}$ and $\lambda _{\mu } \sim 10^{22}$, suggests that a pure iron slurry F-layer would contain a mean solid fraction of at most 5 %.

Information

Type
JFM Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press.
Figure 0

Figure 1. Schematic of the problem domain.

Figure 1

Table 1. Estimates of physical parameters characteristic of pure iron at ICB conditions.

Figure 2

Table 2. Estimates of dimensionless numbers at core conditions (based on table 1), and values used in this study.

Figure 3

Table 3. Summary of scalings.

Figure 4

Figure 2. Profiles of freezing rate $\varGamma ^s$ (a), solid volume fraction $\phi ^s$ (b), solid-phase velocity $u_z^s$ (c) and liquid-phase velocity $u_z^l$ (d) for increasing values of $R$; other parameters are fixed at $K = 10^3, \lambda _\mu = 10^5$. Recall that negative values of $\varGamma ^s$ indicate melting.

Figure 5

Figure 3. Variation of the average solid-phase velocity $K|\langle u_z^s \rangle | / (\lambda _\rho -1)$ (a), the average liquid-phase velocity $K\langle u_z^l \rangle / (\lambda _\rho -1)$ (b) and the average solid volume fraction $\langle \phi ^s \rangle$ (c) with respect to $R$. In (a,b) the phase velocities have been scaled by the estimated terminal velocity $(\lambda _\rho - 1)/K$.

Figure 6

Figure 4. Profiles of freezing rate $\varGamma ^s$ (a), solid volume fraction $\phi ^s$ (b), solid-phase velocity $u_z^s$ (c) and liquid-phase velocity $u_z^l$ (d) for increasing values of the viscosity ratio $\lambda _\mu$; other parameters are fixed at $K = 10^3, R=10^8$.

Figure 7

Figure 5. Variation of the average solid-phase velocity $K|\langle u_z^s \rangle | / (\lambda _\rho -1)$ (a), the average liquid-phase velocity $K\langle u_z^l \rangle / (\lambda _\rho -1)$ (b) and the average liquid volume fraction $\langle \phi ^l \rangle$ (c) with respect to the viscosity ratio $\lambda _\mu$. In (a,b) the phase velocities have been scaled by the estimated terminal velocity $(\lambda _\rho - 1)/K$.

Figure 8

Figure 6. Profiles of freezing rate $\varGamma ^s$ (a), solid volume fraction $\phi ^s$ (b), solid-phase velocity $u_z^s$ (c) and liquid-phase velocity $u_z^l$ (d) for increasing values of the interphase friction parameter $K$; other parameters are fixed at $R=10^8, \lambda _\mu = 2 \times 10^5$.

Figure 9

Figure 7. Variation of the average solid-phase velocity $|\langle u_z^s\rangle |$ (a), the average liquid-phase velocity $|\langle u_z^l\rangle |$ (b) and the average solid volume fraction $\langle \phi ^s\rangle$ (c) with respect to the interphase friction parameter $K$.

Figure 10

Figure 8. From top to bottom: contours of the average solid volume fraction $\langle \phi ^s \rangle$ (ac); (normalised) average velocity of the solid phase $K | \langle u_z^s \rangle |/(\lambda _\rho -1)$ (df); (normalised) average velocity of the liquid phase $K \langle u_z^l \rangle /(\lambda _\rho -1)$ (gi). Values of $K$ increase from left to right: (a,d,g) $K = 10^2$; (b,e,h) $K = 10^3$; (c,f,i) $K = 10^4$. Empty regions in the contour plots correspond to parameter values for which we do not have solutions.

Figure 11

Figure 9. (a) Variation of average solid fraction $\langle \phi ^s \rangle$ together with lines of fit based on the scaling of $\phi ^s$ as $R\to 0$ (dashed lines) and as $R\to \infty$ (dash-dotted lines). Dotted lines indicate where the two lines of fit cross. (b) Extrapolation of average solid fraction $\langle \phi ^s \rangle$ to large values of $R$ and $\lambda _\mu$. Red rectangle highlights the estimated range of $R$ and $\lambda _\mu$ for the F-layer (table 2).

Figure 12

Figure 10. Heat balance variation with respect to $R$ (a), $\lambda _\mu$ (b) and $K$ (c). Each term has been normalised by the heat flux in at the bottom boundary $q^c_{z=0}=\theta$. In (a) $K = 1000, \lambda _\mu = 10^6$; in (b) $K = 1000, R = 10^6$; in (c) $R = 5\times 10^5, \lambda _\mu = 2 \times 10^5$.

Figure 13

Figure 11. Profiles of freezing rate $\varGamma ^s$ (a), solid volume fraction $\phi ^s$ (b), solid-phase velocity $u_z^s$ (c) and liquid-phase velocity $u_z^l$ (d) for increasing values of the compaction parameter $C_0$; other parameters are fixed at $R=10^6, \lambda _\mu = 10^4, K = 100$.

Figure 14

Figure 12. Variation of the average solid-phase velocity $K|\langle u_z^s \rangle | / (\lambda _\rho -1)$ (a), the average liquid-phase velocity $K\langle u_z^l \rangle / (\lambda _\rho -1)$ (b) and the average liquid volume fraction $\langle \phi ^l \rangle$ (c) with respect to the viscosity ratio $\lambda _\mu$ for different values of compaction parameter $C_0$; other parameters are fixed at $R=10^6, K = 100$. In (a,b) the phase velocities have been scaled by the estimated terminal velocity $(\lambda _\rho - 1)/K$.

Figure 15

Table 4. Glossary of symbols used in the derivation of governing equations in § 2.

Figure 16

Figure 13. Profiles of density $\rho ^\varepsilon$ (since $\lambda _\alpha =\lambda _\beta =1$ the dimensionless densities of the two phases are equal, $\rho ^s = \rho ^l$) (a), temperature $T$ (b), temperature gradient ${\mathrm {d} T}/{\mathrm {d} z}$ (c) and pressure gradient ${\mathrm {d} P}/{\mathrm {d} z}$ (d) for increasing values of $R$; other parameters are fixed at $K = 10^3, \lambda _\mu = 10^5$.

Figure 17

Figure 14. Variation of the average liquid volume fraction $\langle \phi ^l \rangle$ (a) and the average solid flux $\langle \,j_z \rangle$ (b) with respect to $R$.

Figure 18

Figure 15. Same as figure 8(ac): contours of the average solid volume fraction $\langle \phi ^s \rangle$ but zoomed in on the range $R\geq K ^2, \lambda _\mu \geq K ^2$ to illustrate the self-similarity between the behaviour of the solutions in the limit of large $R$ and $\lambda _\mu$ relevant to planetary cores. Values of $K$ increase from left to right: (a) $K = 10^2$; (b) $K = 10^3$; (c) $K = 10^4$. Empty regions in the contour plots correspond to parameter values for which we do not have solutions.