Intuition The ONE core idea
Air flowing past a wing obeys equations that are too hard to solve by hand, so we chop the problem into many small pieces and let a computer solve a giant set of simple equations. Everything in the parent note — panels, sources, influence coefficients, meshes — is just a different way of doing that chopping.
This page assumes nothing . If the parent note used a symbol, a word, or a picture, we build it here first. Read top to bottom; each block earns the next.
Before any symbol, hold this image: at every point in the air there is a little arrow saying how fast and which way the air moves there. A carpet of arrows filling space is called a vector field . The whole subject is: find that carpet of arrows around the wing.
Definition Velocity field
V
V (read "V-vector") is the arrow at each point. The little arrow on top means "this has a direction , not just a size". In 2-D it has two numbers: how fast rightward (V x ) and how fast upward (V y ).
Picture: the carpet of arrows above.
Why we need it: lift and drag come from how these arrows bend around the body.
x , y and the point P
x = distance rightward, y = distance upward. A point in space is written P or ( x , y ) .
Picture: the usual graph paper — right and up.
Definition Freestream speed
V ∞ and angle α
V ∞ (read "V-infinity") = the speed of the air far away from the wing, where the body hasn't disturbed it yet. The little ∞ literally means "infinitely far off".
α (Greek "alpha") = the angle of attack : the tilt between that incoming wind and the wing.
Picture: straight parallel arrows coming in from the left, tilted by α .
Why: this is the "input" wind; the wing's job is to bend it.
The parent said "incompressible ⇒ ∇ ⋅ V = 0 " and "irrotational ⇒ V = ∇ ϕ ". Those two symbols, ∇ ⋅ and the idea of rotation, must be earned.
Definition The nabla symbol
∇
∇ (say "nabla" or "del") is not a number . It is a recipe meaning "take slopes in each direction". Think of it as a tiny machine that measures how a quantity changes as you step in x and in y .
∇ ⋅ V
Draw a tiny box. Count arrows going out minus arrows coming in . If more leaves than enters, the box is a source of fluid — divergence is positive.
∇ ⋅ V = ∂ x ∂ V x + ∂ y ∂ V y
Incompressible means the fluid can't be squashed, so in equals out for every box: ∇ ⋅ V = 0 .
Picture: left box in the figure — balanced arrows.
Definition The partial-slope symbol
∂
∂ x ∂ V x (read "partial V-x by partial x") = "how fast does V x change as I step in the x -direction, holding y fixed?" The curly ∂ just says "slope while pretending the other variables are frozen."
Why we need it: velocity changes from point to point; the slope tells us the change.
Definition Irrotational / curl
Drop a tiny paddle-wheel in the flow. If it spins , the flow has rotation (curl) there. If it merely drifts without spinning, the flow is irrotational .
Picture: right box in the figure — the wheel drifts but does not turn.
Why: irrotational flow lets us replace the whole arrow-carpet with a single scalar "height map" — the potential ϕ , next section.
This is the master trick. Instead of storing two numbers (V x , V y ) at every point, we store one number ϕ (a height), and the arrows are simply the slopes of that height.
ϕ and V = ∇ ϕ
ϕ (Greek "phi") = a scalar (one number) at each point, like the height of a hill.
V = ∇ ϕ means: the velocity arrow points downhill-steepest on that height map, and its length is the steepness.
Picture: contour lines of a hill; arrows cross them at right angles, longest where lines crowd.
Why: one number per point is far easier than two — and it automatically guarantees the flow is irrotational (a hill has no built-in swirl).
Intuition Why "potential" earns its keep
A single height map ϕ replaces the whole velocity field. Once we know ϕ , we differentiate to get every arrow. So the entire panel method is a hunt for the right ϕ .
Combine the two facts from §2:
incompressible: ∇ ⋅ V = 0
irrotational: V = ∇ ϕ
Substitute the second into the first:
∇ ⋅ ( ∇ ϕ ) = ∇ 2 ϕ = 0
∇ 2 ϕ
∇ 2 ϕ = ∂ x 2 ∂ 2 ϕ + ∂ y 2 ∂ 2 ϕ . It measures whether a point sits above or below the average of its neighbours on the height map. Setting it to zero says: no point may be a bump or dip — the surface is as smooth as a stretched drumhead.
Picture: a soap film pulled flat across a wire loop; every point is the average of those around it.
Why: see Laplace's Equation & Potential Flow . This is the governing equation of ideal flow.
Linear adding two valid solutions gives another valid solution.
Because we may add solutions, we keep a box of simple ones. Each is a valid ϕ everywhere except one special point.
r and θ
Around a special point, r = distance from it, θ (Greek "theta") = the angle around it. These describe circular patterns naturally.
Picture: rings (r fixed) and spokes (θ fixed).
Definition Source strength
λ
λ (Greek "lambda") = the total volume of fluid pumped out per unit time , spread equally in all directions.
Picture: a garden sprinkler at the centre; bigger λ = harder spray.
Why: on a wing surface we tune each panel's λ like a nozzle so the air just skims the wall and never flows through it.
Γ
Γ (Greek "Gamma") = the net "swirl" of the flow measured by walking a loop and adding up how much the flow pushes you along.
Picture: a whirlpool; Γ counts its strength.
Why: lift needs swirl. By Kutta–Joukowski Theorem & Circulation , lift per length L ′ = ρ V ∞ Γ . Sources alone give Γ = 0 , hence zero lift — that's why vortex bricks exist.
ln r and the 2 π
ln r = the exponent you'd raise e to, to get r ; it's the exact shape a point-source's potential takes in 2-D. The 2 π is the full circle's worth of angle (36 0 ∘ ) — it shares the strength evenly all the way around.
Why this tool: ln r is the unique radially-symmetric solution of Laplace's equation in 2-D — no other simple function both spreads equally and satisfies ∇ 2 ϕ = 0 .
Definition Panel and control point
A panel = a short straight segment approximating a piece of the curved surface. Its control point = its midpoint, where we enforce the rule.
Picture: a smooth airfoil traced by N flat toothpicks; a dot at the middle of each.
Why: we can't find a smooth strength λ ( s ) by hand, but N constant strengths λ 1 … λ N give a solvable puzzle.
n ^ and tangent
n ^ (read "n-hat") = a unit arrow (length 1) pointing straight out of the panel, perpendicular to it. The tangent points along it.
Picture: on each toothpick, one arrow sticking outward, one lying flat.
Why: the wall condition is about flow through the wall, i.e. the normal direction.
V ⋅ n ^
V ⋅ n ^ = ∣ V ∣ cos θ = the length of V 's shadow onto n ^ . Zero when they are perpendicular.
Why this tool: we need only the through-the-wall component, and the dot product is exactly the "how much of one arrow points along another" machine.
β i and influence coefficient I ij
β i = angle between the incoming wind and panel i 's outward normal (sets how much freestream pokes through).
I ij = the normal velocity felt at panel i caused by a unit source on panel j . Read the subscripts as "effect at i from j ".
Why: these numbers fill the matrix that the computer inverts.
Definition Pressure coefficient
C p
C p = 1 − ( V ∞ V t ) 2
V t = the tangential (sliding-along) speed at a panel. C p is a dimensionless pressure: where air speeds up (V t > V ∞ ), C p goes negative (suction). This comes straight from Bernoulli's Equation (fast air = low pressure).
Why: integrate C p around the surface to get lift and moment.
λ means more lift."
Feels right: strength sounds like power. Catch: lift lives in Γ (vortices), not λ (sources). Sources only shape the body. Fix: recall L ′ = ρ V ∞ Γ .
Definition Navier–Stokes, viscosity
μ , density ρ
Real air has stickiness (viscosity μ , Greek "mu") and can be squeezed (density ρ , "rho", changes). Including these turns Laplace into the full Navier–Stokes Equations , which are nonlinear — you cannot add solutions anymore, so the whole brick trick dies and we need Finite Volume Method on a volume mesh . See also Boundary Layer Theory & Skin Friction Drag , Turbulence Modelling — RANS, LES, DNS , and why inviscid theory predicts zero drag: d'Alembert's Paradox .
Nonlinear solutions may not be added; superposition fails.
divergence = 0 incompressible
linear so we may add solutions
elementary bricks source vortex stream
wall condition V dot n = 0
panels and control points
linear system A lambda = b
add viscosity and density
Navier Stokes then CFD mesh
What does the little arrow on V mean? it has direction and size — it is a vector, one arrow per point in space.
What does ∇ ⋅ V = 0 say physically? as much fluid leaves every tiny box as enters it — incompressible.
What does irrotational mean with the paddle-wheel picture? a tiny wheel drifts but never spins.
What is ϕ and what does V = ∇ ϕ give you? a one-number height map; velocity is its steepest slope.
Why must ∇ 2 ϕ = 0 (Laplace)? no point may bump above its neighbours — a smooth drumhead surface.
Why is linearity the whole secret? valid solutions may be added, so we stack simple bricks into complex flows.
What does source strength λ measure? volume of fluid pumped out per unit time, spread evenly.
What does circulation Γ produce that λ cannot? swirl, hence lift, via L ′ = ρ V ∞ Γ .
What single boundary condition sets the panel strengths? zero normal velocity,
V ⋅ n ^ = 0 .
What does n ^ point and why do we dot with it? straight out of the wall; the dot picks the through-the-wall part to kill.
What is C p and where does it come from? dimensionless pressure 1 − ( V t / V ∞ ) 2 , from Bernoulli.
What breaks when we add viscosity and density? the equations turn nonlinear — no adding solutions — so we need CFD.