The intent of this article is to highlight the important points of the derivation of the Navier–Stokes equations as well as the application and formulation for different families of fluids.
Contents
- Basic assumptions
- The material derivative
- Continuity equations
- Momentum equation
- Conservation of mass
- Cauchy momentum equation
- Application to different fluids
- Compressible Newtonian fluid
- Incompressible Newtonian fluid
- Non Newtonian fluids
- Bingham fluid
- Power law fluid
- Stream function formulation
- 2D flow in orthogonal coordinates
- The stress tensor
- References
Basic assumptions
The Navier–Stokes equations are based on the assumption that the fluid, at the scale of interest, is a continuum, in other words is not made up of discrete particles but rather a continuous substance. Another necessary assumption is that all the fields of interest like pressure, flow velocity, density, and temperature are differentiable, weakly at least.
The equations are derived from the basic principles of continuity of mass, momentum, and energy. For that matter, sometimes it is necessary to consider a finite arbitrary volume, called a control volume, over which these principles can be applied. This finite volume is denoted by
The material derivative
Changes in properties of a moving fluid can be measured in two different ways. One can measure a given property by either carrying out the measurement on a fixed point in space as particles of the fluid pass by, or by following a parcel of fluid along its streamline. The derivative of a field with respect to a fixed position in space is called the Eulerian derivative while the derivative following a moving parcel is called the advective or material ("Lagrangian" ) derivative.
The material derivative is defined as the nonlinear operator:
where
For example, the measurement of changes in wind velocity in the atmosphere can be obtained with the help of an anemometer in a weather station or by observing the movement of a weather balloon. The anemometer in the first case is measuring the velocity of all the moving particles passing through a fixed point in space, whereas in the second case the instrument is measuring changes in velocity as it moves with the flow.
Continuity equations
The Navier–Stokes equation is a special continuity equation. A continuity equation may be derived from conservation principles of:
This is done via the Reynolds transport theorem, an integral solution relation stating that the sum of the changes of some intensive property (call it φ) defined over a control volume
where u is the flow velocity of the fluid and
The divergence theorem may be applied to the surface integral, changing it into a volume integral:
Applying Leibniz's rule to the integral on the left and then combining all of the integrals:
The integral must be zero for any control volume; this can only be true if the integrand itself is zero, so that:
From this valuable relation (a very generic continuity equation), three important concepts may be concisely written: conservation of mass, conservation of momentum, and conservation of energy. Validity is retained if φ is a vector, in which case the vector-vector product in the second term will be a dyad.
Momentum equation
A general momentum equation is obtained when the conservation relation is applied to momentum. If the intensive property φ considered is the mass flux (also momentum density), i.e. the product of mass density and flow velocity
where
Note that the gradient of a vector is a special case of the covariant derivative, the operation results in second rank tensors; except in Cartesian coordinates, it's important to understand that this isn't simply an element by element gradient. Rearranging and recognizing that
The leftmost expression enclosed in parentheses is, by mass continuity (shown in a moment), equal to zero. Noting that what remains on the left side of the equation is the convective derivative:
or, with the use of the material derivative operator previously defined:
This appears to simply be an expression of Newton's second law (F = ma) in terms of body forces instead of point forces. Each term in any case of the Navier–Stokes equations is a body force. A shorter though less rigorous way to arrive at this result would be the application of the chain rule to acceleration:
where
is correct; however it does make sense since with that choice of path the derivative is "following" a fluid "particle", and in order for Newton's second law to work, forces must be summed following a particle. For this reason the convective derivative is also known as the particle derivative.
Conservation of mass
Mass may be considered also. Taking
where
In the case of an incompressible fluid,
which is in fact a statement of the conservation of volume.
Cauchy momentum equation
The generic density of the momentum source
where
where the
where
The motivation for doing this is that pressure is typically a variable of interest, and also this simplifies application to specific fluid families later on since the rightmost tensor
This equation is still incomplete. For completion, one must make hypotheses on the forms of
Application to different fluids
The general form of the equations of motion is not "ready for use", the stress tensor is still unknown so that more information is needed; this information is normally some knowledge of the viscous behavior of the fluid. For different types of fluid flow this results in specific forms of the Navier–Stokes equations.
Compressible Newtonian fluid
The formulation for Newtonian fluids stems from an observation made by Newton that, for most fluids,
In order to apply this to the Navier–Stokes equations, three assumptions were made by Stokes:
Applying these assumptions will lead to:
That is, the deviatoric of the deformation rate tensor is identified to the deviatoric of the stress tensor, up to a factor μ.
A straightforward substitution of
where the transpose has been used. The body force has been decomposed into density and external acceleration, i.e.
In addition to this equation, an equation of state and an equation for the conservation of energy is needed. The equation of state to use depends on context (often the ideal gas law), the conservation of energy will read:
Here,
With a good equation of state and good functions for the dependence of parameters (such as viscosity) on the variables, this system of equations seems to properly model the dynamics of all known gases and most liquids.
Incompressible Newtonian fluid
For the special (but very common) case of incompressible flow, the momentum equations simplify significantly. Taking into account the following assumptions:
then looking at the viscous terms of the
Similarly for the
The above solution is key to deriving Navier-Stokes equations from Equation of motion in fluid dynamics when density and viscosity are constant.
Non-Newtonian fluids
A non-Newtonian fluid is a fluid whose flow properties differ in any way from those of Newtonian fluids. Most commonly the viscosity of non-Newtonian fluids is a function of shear rate or shear rate history. However, there are some non-Newtonian fluids with shear-independent viscosity, that nonetheless exhibit normal stress-differences or other non-Newtonian behaviour. Many salt solutions and molten polymers are non-Newtonian fluids, as are many commonly found substances such as ketchup, custard, toothpaste, starch suspensions, paint, blood, and shampoo. In a Newtonian fluid, the relation between the shear stress and the shear rate is linear, passing through the origin, the constant of proportionality being the coefficient of viscosity. In a non-Newtonian fluid, the relation between the shear stress and the shear rate is different, and can even be time-dependent. The study of the non-Newtonian fluids is usually called rheology. A few examples are given here.
Bingham fluid
In Bingham fluids, the situation is slightly different:
These are fluids capable of bearing some shear before they start flowing. Some common examples are toothpaste and clay.
Power-law fluid
A power law fluid is an idealised fluid for which the shear stress,
This form is useful for approximating all sorts of general fluids, including shear thinning (such as latex paint) and shear thickening (such as corn starch water mixture).
Stream function formulation
In the analysis of a flow, it is often desirable to reduce the number of equations or the number of variables being dealt with, or both. The incompressible Navier-Stokes equation with mass continuity (four equations in four unknowns) can, in fact, be reduced to a single equation with a single dependent variable in 2D, or one vector equation in 3D. This is enabled by two vector calculus identities:
for any differentiable scalar
where it's assumed that all body forces are describable as gradients (for example it is true for gravity), and density has been divided so that viscosity becomes kinematic viscosity.
The second vector calculus identity above states that the divergence of the curl of a vector field is zero. Since the (incompressible) mass continuity equation specifies the divergence of flow velocity being zero, we can replace the flow velocity with the curl of some vector
So, as long as flow velocity is represented through
Apart from containing fourth order derivatives, this equation is fairly complicated, and is thus uncommon. Note that if the cross differentiation is left out, the result is a third order vector equation containing an unknown vector field (the gradient of pressure) that may be determined from the same boundary conditions that one would apply to the fourth order equation above.
2D flow in orthogonal coordinates
The true utility of this formulation is seen when the flow is two dimensional in nature and the equation is written in a general orthogonal coordinate system, in other words a system where the basis vectors are orthogonal. Note that this by no means limits application to Cartesian coordinates, in fact most of the common coordinates systems are orthogonal, including familiar ones like cylindrical and obscure ones like toroidal.
The 3D flow velocity is expressed as (note that the discussion has been coordinate free up till now):
where
Now suppose that the flow is 2D. This doesn't mean the flow is in a plane, rather it means that the component of flow velocity in one direction is zero and the remaining components are independent of the same direction. In that case (take component 3 to be zero):
The vector function
but this must simplify in some way also since the flow is assumed 2D. If orthogonal coordinates are assumed, the curl takes on a fairly simple form, and the equation above expanded becomes:
Examining this equation shows that we can set
the significance here is that only one component of
The remaining component
if the scale factors
Manipulating the cross differentiated Navier–Stokes equation using the above two equations and a variety of identities will eventually yield the 1D scalar equation for the stream function:
where
The assumptions for the stream function equation are listed below:
The stream function has some useful properties:
The stress tensor
The derivation of the Navier-Stokes equation involves the consideration of forces acting on fluid elements, so that a quantity called the stress tensor appears naturally in the Cauchy momentum equation. Since the divergence of this tensor is taken, it is customary to write out the equation fully simplified, so that the original appearance of the stress tensor is lost.
However, the stress tensor still has some important uses, especially in formulating boundary conditions at fluid interfaces. Recalling that
If the fluid is assumed to be incompressible, the tensor simplifies significantly. In 3D cartesian coordinates for example: