A scaffolding for building inviscid flow models
Author darwindarak
24 Stars
Updated Last
25 Days Ago
Started In
April 2017


a scaffolding for building 2D inviscid models

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PotentialFlow can be installed using the Julia package manager. From the Julia REPL, type ] to enter the Pkg REPL mode and run

pkg> add PotentialFlow

Basic Usage

Let's create a point vortex and a point source and probe their associated velocity field:

julia> using PotentialFlow

julia> t = 0.0

julia> vortex = Vortex.Point(1.0 + 1.0im, π)
Vortex.Point(1.0 + 1.0im, 3.141592653589793)

julia> source = Source.Point(1.0 - 1.0im, -π)
Source.Point(1.0 - 1.0im, 3.141592653589793)

julia> induce_velocity(0.0im, vortex, t)
0.25 - 0.25im

julia> induce_velocity(source, vortex, t)
0.25 - 0.0im

julia> induce_velocity(0.0im, (vortex, source), t)
0.5 - 0.5im

julia> induce_velocity([0.0im, 1.0im, 1.0], (vortex, source), t)
3-element Array{Complex{Float64},1}:

Note the all positions and velocities are given in complex coordiantes.

Now let's move on to something more interesting. We'll create a stationary flat plate (bound vortex sheet) and place it in a freestream. In order to enforce the Kutta condition, we also place a starting vortex at -Inf.

using PotentialFlow
using Plots

c₀ = 0.0im # initial centroid position
α = π/9    # angle of attack
L = 1.0    # chord length
N = 128    # number of discretization points= 0.0    # translation velocity
α̇ = 0.0    # rate of rotation
t = 0.0    # current time

freestream = Freestream(-1.0)

plate = Plate(N, L, c₀, α)
motion = Plates.RigidBodyMotion(ċ, α̇)
Plates.enforce_no_flow_through!(plate, motion, freestream, 0.0)

# We now want to determine the strength of the starting vortex
# to satisfy the Kutta condition at the trailing edge of the plate
_, Γ = Plates.vorticity_flux!(plate, (), Vortex.Point(-Inf, 1.0), t, Inf, 0);
starting_vortex = Vortex.Point(-Inf, Γ)

# Plot some streamlines

x = range(-2, 1, length=100)
y = range(-0.5, 0.5, length=100)

streamlines(x, y, (plate, freestream), legend = false, colorbar = false)
plot!(plate, linewidth = 2, ratio = 1, size = (600, 300))

Flat plate in freestream

More examples can be found in the documentation and the Jupyter notebooks. You can also run the notebooks directly in your browser here.