Potential flow
Flow fields can generally be described by the Navier-Stokes equations, a set of complex nonlinear partial differential equations that relate different flow properties. Shown below are the continuity and momentum equations.
Directly solving some form of these equations numerically is difficult and computationally expensive, and exact solutions exist only in few specific cases. Computational fluid dynamics (CFD) (which encompasses Euler, RANS, URANS, LES and DNS) tackles this problem directly to generally solve complex flows that include separation, viscous effects, thermo coupling and changes to flow properties (compressibility, viscosity).
Flow fields around aircraft exhibit many of the above complexities; however, due to the inherent properties of these flow regimes, most of the physics can still be captured with a set of simplifications. We can take advantage of incompressible potential flow, which model irrotational and inviscid flows, to simplify flow field models with reasonable accuracy and computational cost. We want to take advantage of these simplicities to maintain reasonable accuracy with low computational cost, especially in aircraft design and optimization.
Through dimensional analysis, we can define an important quantity of the flow field called the Reynolds number. The Reynolds number defines the ratio of the relative magnitudes of the inertial and viscous terms:
where \(\rho\) is the flow density, \(V\) is the characteristic flow speed, \(L\) is the characteristic length, and \(\mu\) is the dynamic viscosity. The effects of viscosity refer to the friction present from flow particles and objects in the flow field. In many aircraft-related applications, we are exploring high-Reynolds number flows, which means that most of the flow field contains minimal influence from viscosity. In these types of flows, the effects of viscosity are reserved to small regions near bodies called boundary layers, where the flow goes to zero velocity at the boundary. Within the boundary layer is also where vorticity is usually confined; vorticity is defined mathematically as
and refers to the local rotation of fluid or fluid particles. Some sources use a different convention and define vorticity as \(\zeta\) and the angular velocity as \(\zeta = 2\omega\). Outside of the boundary layer, both viscosity and vorticity have minimal influence on the overall flow field. As a result, a large area in the flow field can be treated as inviscid and irrotational, two key simplifications that model potential flows.
To include one final simplification, we identify the Mach number, which represents the ratio of the flow speed to the sound speed in the medium:
where \(a\) is the speed of sound and \(\textbf{u}_\infty\) is the characteristic flow speed. At low Mach (typically coinciding with low-speed flows), the effects of pressure changes have a minimal influence on how the density of fluid molecules change due to compression. We can then treat the flow field as incompressible by assuming a constant density.
Note
In CFD, incompressibility also decouples the dependence of the pressure field on temperature, which subsequently decouples the energy equation in Navier-Stokes as well (not shown above).
We have defined three simplifications to the Navier-Stokes equations that are reasonable for most aircraft-related flows that will simplify the flow analysis. These three simplifications are key aspects of solving for incompressible potential flow. First, we can simplify the continuity equation to
under the assumption of incompressibility because density is constant. Second, irrotational flows specify that there is no vorticity in the flow:
which allows us to define a scalar quantity \(\phi\) such that \(\textbf{u} = \nabla \phi\). This quantity \(\phi\) is referred to as the velocity potential.
Note
This relationship is deduced from calculus identities, noting that the curl of a gradient is always zero.
We can introduce this relationship into the incompressible continuity equation to formulate our governing equation:
where we return the Laplace equation as our governing equation in the flow field. For potential flow, this equation is satisfied everywhere in space
Finally, the inviscid flow condition is used to simplify the momentum equation by ignoring the viscous terms. At this stage, we will also assume a steady flow with no body or gravitational forces. Our inviscid momentum equation then becomes
We can rearrange the left side using product rule:
and setting the first term on the right side to zero from continuity. Introducing this formula into our reduced momentum equation, we see that
which tells us that the sum of overall pressure contributions must be constant. We arrive at Bernoulli’s equation:
where \(C\) represents a constant pressure head along a given streamline. The density term \(\rho\) has been moved around to represent each term in Bernoulli’s equation as a form of pressure. The velocity term represents the dynamic pressure, and \(p\) represents the static pressure. Common forms of Bernoulli’s equation include a gravitational contribution \(\rho gh\) to represent fluid pressure changes due to elevation. This term is often neglected for aircraft analysis because the pressure changes from vertical displacements of fluids around bodies is small compared to the static and dynamic pressure terms.