- Open Access
- Access by Xinjiang University
Assessment of a multiphase formulation of one-dimensional turbulence using direct numerical simulation of a decaying turbulent interfacial flow
Phys. Rev. Fluids 9, 104003 – Published 17 October, 2024
DOI: https://doi.org/10.1103/PhysRevFluids.9.104003
Abstract
The interaction between turbulence and surface tension is studied numerically using the one-dimensional-turbulence (ODT) model. ODT is a stochastic model simulating turbulent flow evolution along a notional one-dimensional line of sight by applying instantaneous maps that represent the effects of individual turbulent eddies on property fields. It provides affordable high resolution of interface creation and property gradients within each phase, which are key for capturing the local behavior as well as overall trends, and has been shown to reproduce the main features of an experimentally determined regime diagram for primary jet breakup. Here ODT is used to investigate the interaction of turbulence with an initially planar interface. The notional flat interface is inserted into a periodic box of decaying homogeneous isotropic turbulence, simulated for a variety of turbulent Reynolds and Weber numbers. Unity density and viscosity ratios serve to focus solely on the interaction between fluid inertia and the surface-tension force. Statistical measures of interface surface density and spatial structure along the direction normal to the initial surface are compared to corresponding direct-numerical-simulation (DNS) data. Allowing the origin of the lateral coordinate system to follow the location of the median interface element improves the agreement between ODT and DNS, reflecting the absence of lateral nonvortical displacements in ODT. Beyond the DNS-accessible regime, ODT is shown to obey the predicted parameter dependencies of the Kolmogorov critical scale in both the inertial and dissipative turbulent-cascade subranges. Notably, the probability density function of local fluctuations of the critical scale is found to collapse to a universal curve across both subranges.
Physics Subject Headings (PhySH)
Article Text
References (31)
- M. Linne, Imaging in the optically dense regions of a spray: A review of developing techniques, Prog. Energy Combust. Sci. 39, 403 (2013).
- O. Desjardins, J. McCaslin, M. Owkes, and P. Brady, Direct numerical and large-eddy simulation of primary atomization in complex geometries, Atomization Sprays 23, 1001 (2013).
- M. Herrmann, Detailed numerical simulations of the primary atomization of a turbulent liquid jet in crossflow, J. Eng. Gas Turbines Power 132, 061506 (2010).
- T. Ménard, S. Tanguy, and A. Berlemont, Coupling level set/vof/ghost fluid methods: Validation and application to 3D simulation of the primary break-up of a liquid jet, Int. J. Multiphase Flow 33, 510 (2007).
- M. Gorokhovski and M. Herrmann, Modeling primary atomization, Annu. Rev. Fluid Mech. 40, 343 (2008).
- R. Lebas, T. Menard, P. A. Beau, A. Berlemont, and F.-X. Demoulin, Numerical simulation of primary break-up and atomization: DNS and modelling study, Int. J. Multiphase Flow 35, 247 (2009).
- K. Sallam, Z. Dai, and G. Faeth, Liquid breakup at the surface of turbulent round liquid jets in still gases, Int. J. Multiphase Flow 28, 427 (2002).
- F. Ben Rayana, A. Cartellier, and E. Hopfinger, Assisted atomization of a liquid layer: Investigation of the parameters affecting the mean drop size prediction, in 10th International Conference on Liquid Atomization & Spray Systems (ICLASS-2006), Kyoto, Japan (2006).
- P. Marmottant and E. Villermaux, On spray formation, J. Fluid Mech. 498, 73 (2004).
- C. Dumouchel, On the experimental investigation on primary atomization of liquid streams, Exp. Fluids 45, 371 (2008).
- Z. Li and F. A. Jaberi, Turbulence-interface interactions in a two-fluid homogeneous flow, Phys. Fluids 21, 095102 (2009).
- P. Trontin, S. Vincent, J. Estivalezes, and J. Caltagirone, Direct numerical simulation of a freely decaying turbulent interfacial flow, Int. J. Multiphase Flow 36, 891 (2010).
- J. McCaslin and O. Desjardins, Theoretical and computational modeling of turbulence/interface interactions, in Proceedings of the Summer Program, Stanford Center for Turbulence Research (Stanford Center of Turbulence, Stanford, 2014), p. 79.
- J. McCaslin, Development and application of numerical methods for interfacial dynamics in turbulent liquid-gas flows, Ph.D. thesis, Cornell University, 2015.
- A. Movaghar, M. Linne, M. Oevermann, F. Meiselbach, H. Schmidt, and A. R. Kerstein, Numerical investigation of turbulent-jet primary breakup using one-dimensional turbulence, Int. J. Multiphase Flow 89, 241 (2017).
- A. Movaghar, M. Linne, M. Herrmann, A. R. Kerstein, and M. Oevermann, Modeling and numerical study of primary breakup under diesel conditions, Int. J. Multiphase Flow 98, 110 (2018).
- A. R. Kerstein, Reduced numerical modeling of turbulent flow with fully resolved time advancement. Part 1. Theory and physical interpretation, Fluids 7, 76 (2022).
- C. Chen, T. Gao, J. Liang, L. Zhang, and M. Sun, Advances and challenges in developing a stochastic model for multi-scale fluid dynamic simulation: One-dimensional turbulence, Chinese J. Aeronautics (2024), doi: 10.1016/j.cja.2024.03.001.
- O. Desjardins, G. Blanquart, G. Balarac, and H. Pitsch, High order conservative finite difference scheme for variable density low Mach number turbulent flows, J. Comput. Phys. 227, 7125 (2008).
- M. Owkes and O. Desjardins, A computational framework for conservative, three-dimensional, un-split, geometric transport with application to the volume-of-fluid (VOF) method, J. Comput. Phys. 270, 587 (2014).
- M. Owkes and O. Desjardins, A Mesh-decoupled height function method for computing interface curvature, J. Comput. Phys. 281, 285 (2015).
- R. Fedkiw, T. Aslam, B. Merriman, and S. Osher, A non-oscillatory Eulerian approach to interfaces in multimaterial flows (the ghost fluid method), J. Comput. Phys. 152, 457 (1999).
- A. R. Kerstein, One-dimensional turbulence: Model formulation and application to homogeneous turbulence, shear flows, and buoyant stratified flows, J. Fluid Mech. 392, 277 (1999).
- D. Lignell, A. Kerstein, G. Sun, and E. Monson, Mesh adaption for efficient multiscale implementation of one-dimensional turbulence, Theor. Comput. Fluid Dyn. 27, 273 (2013).
- A. Movaghar, M. Oevermann, R. Chiodi, O. Desjardins, and A. R. Kerstein, A subgrid-scale model for large-eddy simulation of liquid/gas interfaces based on one-dimensional turbulence, in Turbulent Cascades II, ERCOFTAC Series 26, edited by M. Gorokhovski and F. S. Godeferd (Springer, Cham, Switzerland, 2019), pp. 83–91.
- M. Gorokhovski, The stochastic Lagrangian model of drop breakup in the computation of liquid sprays, Atomization Sprays 11, 15 (2001).
- M. Fistler, A. R. Kerstein, D. O. Lignell, and M. Oevermann, Turbulence modulation in particle-laden, stationary homogeneous isotropic turbulence using one-dimensional turbulence, Phys. Rev. Fluids 5, 044308 (2020).
- M. Fistler, A. R. Kerstein, S. Wunsch, and M. Oevermann, Turbulence modulation in particle-laden, stationary homogeneous shear turbulence using one-dimensional turbulence, Phys. Rev. Fluids 5, 124303 (2020).
- S. M. Ross, Stochastic Processes, 2nd ed. (John Wiley & Sons, New York, 1996).
- S. N. Chiu, D. Stoyan, W. S. Kendall, and J. Mecke, Stochastic Geometry and Its Applications (John Wiley & Sons, New York, 2013).
- A. N. Kolmogorov, On the disintegration of drops by turbulent flows, Dokl. Akad. Nauk SSSR 66, 825 (1949).