Compressible versus incompressible flow All fluids are
compressible to an extent; that is, changes in pressure or temperature cause changes in density. However, in many situations the changes in pressure and temperature are sufficiently small that the changes in density are negligible. In this case the flow can be modelled as an
incompressible flow. Otherwise the more general
compressible flow equations must be used. Mathematically, incompressibility is expressed by saying that the density of a
fluid parcel does not change as it moves in the flow field, that is, \frac{\mathrm{D} \rho}{\mathrm{D}t} = 0 \, , where is the
material derivative, which is the sum of
local and
convective derivatives. This additional constraint simplifies the governing equations, especially in the case when the fluid has a uniform density. For flow of gases, to determine whether to use compressible or incompressible fluid dynamics, the
Mach number of the flow is evaluated. As a rough guide, compressible effects can be ignored at Mach numbers below approximately 0.3. For liquids, whether the incompressible assumption is valid depends on the fluid properties (specifically the critical pressure and temperature of the fluid) and the flow conditions (how close to the critical pressure the actual flow pressure becomes).
Acoustic problems always require allowing compressibility, since
sound waves are compression waves involving changes in pressure and density of the medium through which they propagate.
Newtonian versus non-Newtonian fluids All fluids, except
superfluids, are viscous, meaning that they exert some resistance to deformation: neighbouring parcels of fluid moving at different velocities exert viscous forces on each other. The velocity gradient is referred to as a
strain rate; it has dimensions .
Isaac Newton showed that for many familiar fluids such as
water and
air, the
stress due to these viscous forces is linearly related to the strain rate. Such fluids are called
Newtonian fluids. The coefficient of proportionality is called the fluid's viscosity; for Newtonian fluids, it is a fluid property that is independent of the strain rate.
Non-Newtonian fluids have a more complicated, non-linear stress-strain behaviour. The sub-discipline of
rheology describes the stress-strain behaviours of such fluids, which include
emulsions and
slurries, some
viscoelastic materials such as
blood and some
polymers, and
sticky liquids such as
latex,
honey and
lubricants.
Inviscid versus viscous versus Stokes flow The dynamic of fluid parcels is described with the help of
Newton's second law. An accelerating parcel of fluid is subject to inertial effects. The
Reynolds number is a
dimensionless quantity which characterises the magnitude of inertial effects compared to the magnitude of viscous effects. A low Reynolds number () indicates that viscous forces are very strong compared to inertial forces. In such cases, inertial forces are sometimes neglected; this flow regime is called
Stokes or creeping flow. In contrast, high Reynolds numbers () indicate that the inertial effects have more effect on the velocity field than the viscous (friction) effects. In high Reynolds number flows, the flow is often modeled as an
inviscid flow, an approximation in which viscosity is completely neglected. Eliminating viscosity allows the
Navier–Stokes equations to be simplified into the
Euler equations. The integration of the Euler equations along a streamline in an inviscid flow yields
Bernoulli's equation. When, in addition to being inviscid, the flow is
irrotational everywhere, Bernoulli's equation can completely describe the flow everywhere. Such flows are called
potential flows, because the velocity field may be expressed as the
gradient of a potential energy expression. This idea can work fairly well when the Reynolds number is high. However, problems such as those involving solid boundaries may require that the viscosity be included. Viscosity cannot be neglected near solid boundaries because the
no-slip condition generates a thin region of large strain rate, the
boundary layer, in which
viscosity effects dominate and which thus generates
vorticity. Therefore, to calculate net forces on bodies (such as wings), viscous flow equations must be used: inviscid flow theory fails to predict
drag forces, a limitation known as the
d'Alembert's paradox. A commonly used model, especially in
computational fluid dynamics, is to use two flow models: the Euler equations away from the body, and
boundary layer equations in a region close to the body. The two solutions can then be matched with each other, using the
method of matched asymptotic expansions.
Steady versus unsteady flow A flow that is not a function of time is called
steady flow. Steady-state flow refers to the condition where the fluid properties at a point in the system do not change over time. Time dependent flow is known as unsteady (also called transient). Whether a particular flow is steady or unsteady, can depend on the chosen frame of reference. For instance, laminar flow over a
sphere is steady in the frame of reference that is stationary with respect to the sphere. In a frame of reference that is stationary with respect to a background flow, the flow is unsteady.
Turbulent flows are unsteady by definition. A turbulent flow can, however, be
statistically stationary. The random velocity field is statistically stationary if all statistics are invariant under a shift in time. This roughly means that all statistical properties are constant in time. Often, the mean
field is the object of interest, and this is constant too in a statistically stationary flow. Steady flows are often more tractable than otherwise similar unsteady flows. The governing equations of a steady problem have one dimension fewer (time) than the governing equations of the same problem without taking advantage of the steadiness of the flow field.
Laminar versus turbulent flow Turbulence is flow characterized by recirculation,
eddies, and apparent
randomness. Flow in which turbulence is not exhibited is called
laminar. The presence of eddies or recirculation alone does not necessarily indicate turbulent flow—these phenomena may be present in laminar flow as well. Mathematically, turbulent flow is often represented via a
Reynolds decomposition, in which the flow is broken down into the sum of an
average component and a perturbation component. It is believed that turbulent flows can be described well through the use of the
Navier–Stokes equations.
Direct numerical simulation (DNS), based on the Navier–Stokes equations, makes it possible to simulate turbulent flows at moderate Reynolds numbers. Restrictions depend on the power of the computer used and the efficiency of the solution algorithm. The results of DNS have been found to agree well with experimental data for some flows. Most flows of interest have Reynolds numbers much too high for DNS to be a viable option, given the state of computational power for the next few decades. Any flight vehicle large enough to carry a human ( > 3 m), moving faster than is well beyond the limit of DNS simulation ( = 4 million). Transport aircraft wings (such as on an
Airbus A300 or
Boeing 747) have Reynolds numbers of 40 million (based on the wing chord dimension). Solving these real-life flow problems requires turbulence models for the foreseeable future.
Reynolds-averaged Navier–Stokes equations (RANS) combined with
turbulence modelling provides a model of the effects of the turbulent flow. Such a modelling mainly provides the additional momentum transfer by the
Reynolds stresses, although the turbulence also enhances the
heat and
mass transfer. Another promising methodology is
large eddy simulation (LES), especially in the form of
detached eddy simulation (DES) — a combination of LES and RANS turbulence modelling.
Other approximations There are a large number of other possible approximations to fluid dynamic problems. Some of the more commonly used are listed below. • The
Boussinesq approximation neglects variations in density except to calculate
buoyancy forces. It is often used in free
convection problems where density changes are small. •
Lubrication theory and
Hele–Shaw flow exploits the large
aspect ratio of the domain to show that certain terms in the equations are small and so can be neglected. •
Slender-body theory is a methodology used in
Stokes flow problems to estimate the force on, or flow field around, a long slender object in a viscous fluid. • The
shallow-water equations can be used to describe a layer of relatively inviscid fluid with a
free surface, in which surface
gradients are small. • ''
Darcy's law'' is used for flow in
porous media, and works with variables averaged over several pore-widths. • In rotating systems, the
quasi-geostrophic equations assume an almost
perfect balance between
pressure gradients and the
Coriolis force. It is useful in the study of
atmospheric dynamics. == Multidisciplinary types ==