Abstract
CFD is concerned with solution of Navier–Stokes (NS) equations in discretised space. It is important, therefore, to ensure that the discretised equations and their solutions obey the continuum condition embedded in Stokes’s stress–strain laws for an isotropic continuum fluid. In this paper, it is shown that adherence to this condition leads to three important conceptual/algorithmic outcomes: 1. Prevention of zig-zag pressure distribution when NS equations are solved for incompressible flow of a single fluid on colocated grids. 2. Prevention of loss of volume/mass at large times when NS equations are solved for interfacial incompressible flows of multi-fluids within single-fluid formalism. 3. Evaluation of surface tension force in interfacial flows without using phenomenology embedded in the definition of the surface tension coefficient. All the above benefits are justified on the basis of a thermodynamic principle rarely invoked in discretised CFD. A few problems are solved by way of case studies.
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Notes
- 1.
This can be appreciated from the Avogadro’s number which specifies that at normal temperature and pressure, a gas will contain \(6.022 \times 10^{26}\) molecules per kmol. Thus in air, for example, there will be \(10^{16}\) molecules per \(\text {mm}^{3}\).
- 2.
In [27], symbol \(\overline{\sigma } = (\sum _{i=1}^{3}\,\sigma _{xi})/3\) is used. Here, \(\overline{p} = - \overline{\sigma }\) is preferred. Both \(\overline{p}\) and q are newly introduced to serve a pedagogic purpose.
- 3.
It is important to recognise that in discretised CFD, the incompressible condition (\(\bigtriangledown \,.\,V_{f}\) = 0) is defined in terms of CV face velocities \(u_{fi}\) as shown in Fig. 1. In fact, when this definition is explicitly implemented, there results the SIMPLE staggered grid procedure of Patankar and Spalding [19]. Further, \(u_{fi}\) must satisfy momentum equations. In a continuum, \(u_{fi}\) and \(u_{i}\) fields coincide but in a discretised space, it is important to distinguish them. This will become apparent in the next section.
- 4.
In passing we note that in all three cases, it can be verified that the quantity q is invariant under rotation of the coordinate system or interchange of axes. This property ensures isotropy [27].
- 5.
Analysis of the discretised equations presented in the next section shows that \(\lambda = 0.5\).
- 6.
- 7.
- 8.
Incidentally, in the literature, several different types of interpolations have been proposed. Some of these are given below by way of example.
-
Rhie and Chow [24] (1D Pressure gradient interpolation)
$$\begin{aligned} u_{f1,e}= & {} \overline{u}_{1,e} - \frac{\Delta V}{AP^{u}}\,\left[ \frac{\partial p}{\partial x_{1}}\,|_{e} - \overline{\frac{\partial p}{\partial x_{1}}}\,|_{e} \, \right] \nonumber \\ \text{ where } \overline{\frac{\partial p}{\partial x_{1}}}\,|_{e}= & {} \frac{1}{2}\,\left[ \frac{\partial p}{\partial x_{1}}\,|_{P} + \frac{\partial p}{\partial x_{1}}\,|_{E} \,\right] \end{aligned}$$(33) -
Peric [8] (1D Mom-Outflow interpolation)
$$\begin{aligned} u_{f1,e} = \frac{1}{2}\,\left[ \frac{\sum A_{k}\,u_{1,k}}{AP^{u_{1}}}\,|_{P} + \frac{\sum A_{k}\,u_{1,k}}{AP^{u_{1}} }\,|_{E} \,\right] - \frac{\Delta V}{AP^{u}}\,\frac{\partial p}{\partial x_{1}}\,|_{e} \end{aligned}$$(34) -
Thiart [34] (Power Law Scheme [20])
$$\begin{aligned} u_{f1,e}= & {} \theta \,u_{1,P} + ( 1 - \theta )\,u_{1,E} \text{ where } \nonumber \\ \theta ( Pc_{e} )= & {} \left[ Pc_{e} - 1 + \text{ max }(0,-Pc_{e})\right] /Pc_{e} \nonumber \\+ & {} \text{ max }\left\{ 0, ( 1 - 0.1|Pc_{e}|)^{5}\right\} /Pc_{e} \end{aligned}$$(35)where cell-face Reynolds/Peclet number \(Pc_{e} = ({\rho _{m}\,u_{f1}\Delta x_{1}}/{\mu })_{e}\).
-
- 9.
- 10.
This is unlike the staggered grid practice in which the mass error is estimated from discretised version of Eq. 1.
- 11.
Incidentally, the superficial viscosity is now evaluated as \(\mu _{m} = F\,\mu _{a} + ( 1 - F )\,\mu _{b}\).
- 12.
- 13.
Volume error is defined as
$$\begin{aligned} \text{ Error }\,(t) = \left( \sum \,F_{i,j}\,\Delta V_{i,j}\right) / \left( \sum \,F^{0}_{i,j}\,\Delta V_{i,j}\right) \end{aligned}$$(72)where \(F^{0}\) is the initial F-distribution at \(t = 0\) and \(\Delta V_{i,j}\) is the volume of the cell surrounding node (i, j).
- 14.
This ignores the fact that \(\sigma \) is essentially a property of a specified fluid pair (a, b).
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Acknowledgements
It is a privilege for me to contribute to this volume in honour of Prof. D. B. Spalding to whom, in 2004, I sent the initial draft of my book [6] to seek his approval of the contents of the book. He not only read the draft but also gave me a task to solve a 1D problem of highly resisted flow through a porous medium. He solved the problem himself by using what he called Date-Colocated procedure using the PHOENICS code. Over exchange of four emails, he was satisfied that my solutions and his were in agreement. I have included with pride that 1D problem in my book. Material of section 3 was developed during sponsorship of Project No: 2005/36/47/BRNS by the Board of Research in Nuclear Science, Department of Atomic Energy, Govt of India. Contribution of Dr. Kausik Nandi, Scientist F, BARC is gratefully acknowledged.
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Date, A.W. (2020). Some Observations on Thermodynamic Basis of Pressure Continuum Condition and Consequences of Its Violation in Discretised CFD. In: Runchal, A. (eds) 50 Years of CFD in Engineering Sciences. Springer, Singapore. https://doi.org/10.1007/978-981-15-2670-1_2
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