Discrete exterior calculus discretization of two-phase incompressible Navier-Stokes equations with a conservative phase field method

نویسندگان

چکیده

We present a discrete exterior calculus (DEC) based discretization scheme for incompressible two-phase flows. Our physically-compatible of single phase flow is extended to simulate immiscible flows with discontinuous changes in fluid properties such as density and viscosity across the interface. The Navier-Stokes equations conservative field equation interface capturing are first transformed into framework. counter part these smooth obtained by substituting differential forms operators. prove boundedness method order Euler forward predictor-corrector time integration schemes DEC With proper choice two free parameters, remains bounded without requirement any ad hoc mass redistribution. verify against several standard test cases (for capturing) comprising not only flat domains but also curved domains, leveraging advantage that operators independent coordinate system. results show excellent boundedness, conservation convergence. Moreover, we demonstrate ability towards handling large ratios well surface tension simulation various physical phenomena on or surfaces.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Isogeometric Analysis of the Navier-Stokes-Cahn-Hilliard equations with application to incompressible two-phase flows

In this work, we present our numerical results of the application of Galerkin-based Isogeometric Analysis (IGA) to incompressible Navier–Stokes–Cahn–Hilliard (NSCH) equations in velocity–pressure– phase field–chemical potential formulation. For the approximation of the velocity and pressure fields, LBB compatible non-uniform rational B-spline spaces are used which can be regarded as smooth gene...

متن کامل

Proper Generalized Decomposition method for incompressible Navier-Stokes equations with a spectral discretization

Proper Generalized Decomposition (PGD) is a method which consists in looking for the solution to a problem in a separate form. This approach has been increasingly used over the last few years to solve mathematical problems. The originality of this work consists in the association of PGD with a spectral collocation method to solve transfer equations as well as Navier–Stokes equations. In the fir...

متن کامل

On the two-phase Navier–Stokes equations with surface tension

In this paper we consider a free boundary problem that describes the motion of two viscous incompressible capillary Newtonian fluids. The fluids are separated by an interface that is unknown and has to be determined as part of the problem. Let Ω1(0) ⊂ Rn+1 (n > 1) be a region occupied by a viscous incompressible fluid, fluid1, and letΩ2(0) be the complement of the closure ofΩ1(0) in Rn+1, corre...

متن کامل

A Discrete Kinetic Approximation for the Incompressible Navier Stokes Equations

Abstract. In this paper we introduce a new class of numerical schemes for the incompressible Navier-Stokes equations, which are inspired by the theory of discrete kinetic schemes for compressible fluids. For these approximations it is possible to give a stability condition, based on a discrete velocities version of the Boltzmann H–theorem. Numerical tests are performed to investigate their accu...

متن کامل

A Conservative Adaptive Projection Method for the Variable Density Incompressible Navier–Stokes Equations

In this paper we present a method for solving the equations governing timedependent, variable density incompressible flow in two or three dimensions on an adaptive hierarchy of grids. The method is based on a projection formulation in which we first solve advection–diffusion equations to predict intermediate velocities, and then project these velocities onto a space of approximately divergence-...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Computational Physics

سال: 2023

ISSN: ['1090-2716', '0021-9991']

DOI: https://doi.org/10.1016/j.jcp.2023.112245