Abstract
Many interesting fluid interface problems involve singular events, as breaking-up or merging of the physical domain. In particular, wave propagation and breaking, droplet and bubble break-up, electro-jetting, rain drops, etc. are good examples of such processes. All these mentioned problems can be modeled using the potential flow assumptions, in which an interface needs to be advanced by a velocity determined by the solution of a surface partial differential equation posed on this moving boundary. The standard approach, the Lagrangian-Eulerian formulation together with some sort of front tracking method, is prone to fail when break-up or merging processes appear. The embedded formulation using level sets seamlessly allows topological breakup or merging of the fluid domain. In this work we present the numerical approximation of the embedded model and some computational results regarding electrohydrodynamic applications.
Access provided by CONRICYT-eBooks. Download chapter PDF
Similar content being viewed by others
Keywords
- Potential Flow Assumption
- Front Tracking Method
- Fluid Domain
- Lagrangian Eulerian Formulation
- Charged Water Droplets
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
1 The Embedded Model Equations
Let Ω 1(t) be a fluid domain immersed in an infinite exterior fluid Ω 2(t), Γ t be the free boundary separating both domains, and Ω D be a fixed domain that should contain the free boundary for all t ∈ [0, T]. The level set/extended potential flow model, [3, 4], may be then written as:
Here, ϕ is the velocity potential, u the velocity field, Ψ the level set function, G the extended potential function, f accounts for the surface forces, and the subscript “ext” refers to the extended quantities off the front into Ω D . This hydrodynamic problem can be coupled with any other exterior problem on Ω 2(t). In particular, assuming a uniform electric field E in Ω 2(t), acting in the direction of the z axis and E = 0 in Ω 1(t) (perfect conductor fluid) then:
where U is the electric potential and E ∞ is the electric field intensity.
2 Numerical Approximation
The semidiscretization in time of the model equations is:
where a first order explicit scheme has been applied. For the space discretization of Eqs. (11) and (12) a first order or second order upwind scheme can be used. The approximation of (10) and (13) is crucial in this numerical method, as it provides the velocity to advance the free boundary and also the velocity potential evolution within this front. We have coupled the following solvers for the interior and exterior Laplace equations:
-
For 2D and 3D axisymmetric geometries a Galerkin boundary integral solution is established, where the boundary element method with linear elements have been used to approximate the integral equations, see [6, 8].
-
For the fully 3D approximation a non conforming Nitsche finite element method has been used together with stabilization techniques of the bilinear forms, as the jump stabilization or the ghost penalty stabilization, see [1, 2, 9].
3 Numerical Results
Several physical scenarios can be simulated using the assumptions and the numerical method presented here. In the case of pure hydrodynamic problems, Eqs. (1)–(4), results for the wave breaking phenomena in a 2D geometry have been presented in [3], where splitting of the fluid domain was not considered. The first simulation involving computations through singular events was presented in [4], where the pinch-off of an infinite fluid jet and subsequent cascade of drop formation was reproduced in a seamless 3D axi-symmetric computation. In Fig. 1 we present the comparison of the satellite break up simulation with laboratory photographs. The interaction of two inviscid fluids of different densities was studied in [5]. The only parameter in the non-dimensional model is the fluid density ratio and simulations of the breaking up transition patterns from air bubbles to water droplets have been computed. When electrical forces acting on the free surface are also considered, Eqs. (1)–(8), the flow gets even more interesting: a charged water droplet will elongate until Taylor cones are formed, from which fine filaments will be ejected from both drop tips. As soon as the drop losses enough charge, it will recoil and oscillate back to equilibrium. In Fig. 2 we show also a comparison between computed profiles on top and Laboratory experiments on bottom at corresponding times. See [7].
References
Burman, E., Hansbo, P.: Fictitious domain finite element methods using cut elements: I. A stabilized Lagrange multiplier method. Comput. Methods Appl. Mech. Eng. 199, 2680–2686 (2010)
Burman, E., Hansbo, P.: Fictitious domain finite element methods using cut elements: II. A stabilized Nitsche method. Appl. Numer. Math. 62(4), 328–341 (2012)
Garzon, M., Adalsteinsson, D., Gray, L.J., Sethian, J.A.: A coupled level set-boundary integral method for moving boundary simulations. Interfaces Free Bound. 7, 277–302 (2005)
Garzon, M., Gray, L.J., Sethian, J.A.: Numerical simulation of non-viscous liquid pinch-off using a coupled level set-boundary integral method. J. Comput. Phys. 228, 6079–6106 (2009)
Garzon, M., Gray, L.J., Sethian, J.A.: Simulation of the droplet-to-bubble transition in a two-fluid system. Phys. Rev. E 83, 046318 (2011)
Garzon, M., Gray, L.J., Sethian, J.A.: Axisymmetric boundary integral formulation for a two-fluid system. Int. J. Numer. Methods Fluids 69, 1124–1134 (2012)
Garzon, M., Gray, L.J., Sethian, J.A.: Numerical simulations of electrostatically driven jets from nonviscous droplets. Phys. Rev. E 89, 033011 (2014)
Gray, L.J., Garzon, M., Mantic, V., Graciani, E.: Int. J. Numer. Methods Eng. 66, 2014–2034 (2006)
Johansson, A., Garzon, M., Sethian, J.A.: A three-dimensional coupled Nitsche and level set method for electrohydrodynamic potential flows in moving domains. J. Comput. Phys. 309, 88–111 (2016)
Thoroddsen, S.T., Etoh, T.G., Takehara, K.: Micro-jetting from wave focusing on oscillating drops. Phys. Fluids 19, 052101–052116 (2007)
Acknowledgements
This work was supported by the U.S. Department of Energy, under contract Number DE-AC02-05CH11231, the Spanish Ministry of Science and Innovation, Project Number MTM2013-43671-P. The third author was also supported by the Research Council of Norway through a Centers of Excellence grant to the Center for Biomedical Computing at Simula Research Laboratory, Project Number 179578.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
Garzon, M., Sethian, J.A., Johansson, A. (2017). Numerical Simulation of Flows Involving Singularities. In: Mateos, M., Alonso, P. (eds) Computational Mathematics, Numerical Analysis and Applications. SEMA SIMAI Springer Series, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-49631-3_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-49631-3_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-49630-6
Online ISBN: 978-3-319-49631-3
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)