Found a way to do this.
Changed the script, new script is pasted at the bottom.
Workflow goes:
- Matlab (create line plot, then
for i=1:size(lineHandles,1), set(lineHandles(i),'lineWidth',4),end). Change the line width as required.)
- Save as .png file.
- Gimp (crop file to a nice rectangle)
- InkScape (open png file, click image, menu Path -> Trace Bitmap -> Color Quantization (2 colors) -> Drag the path aside (it shows path in the status bar at the bottom when you have this selected). Click image and delete. Place path (with nodes) back onto the page (there's an x/y coordinates setting in a toolbar at the top, set these both to 0.
- Save as a .dxf file. To get these to input more nicely, use the extension provided at http://www.thingiverse.com/thing:14221. This should be installed by copying the .py and .inx files to /usr/share/inkscape/extensions (or similar)
- Open in OpenSCAD using the command
import("/path/to/filename.dxf");
- This object can be extruded using the
linear_extrude(height = x) where x is a height in mm (other lengths probably configurable)
- Render using CGAL (F6 is the shortcut for this in OpenSCAD.)
- Export to .stl file (menu Design > Export as STL...)
MATLAB script (edit as needed and take outputs as required, if you want the line handles you'll need to put in almost all of the output arguments (or reorder them):
%voronoiScriptHex generates voronoi cells in a hexagonal tesselation grid
% [X, Y, Fig, Axis, Lx, Ly, lH, lD] = voronoiScript(Bnd, Spc, D, ...)
%
% Output variables
% X is the x coordinate of the voronoi cell centres
% Y is the y coordinate of the voronoi cell centres
% Fig is the handle of the figure generated
% Axis is the handle of the axes used
% Lx gives the start and end x coordinates of the voronoi lines
% Ly gives the start and end y coordinates of the voronoi lines
% lH is the set of handles for the voronoi lines
% lD is constructed from [Lx; Ly], it is a [4 by Length] array
%
% Bnd specifies the boundaries for the region to be covered. It should be
% either one number, or a pair of numbers in a [1x2] vector, specifying
% [maxX, maxY]. 0 is taken as the minimum value.
%
% Spc specifies the average spacing. For a hex grid, it only accepts one
% value.
%
% D specifies the variation from a uniform grid. It is multiplied by a
% random number between -0.5 and 0.5 and added to the [x,y] coordinates
% of a point. If size(D) = [1x2], then the values are for [Dx, Dy].
%
% Optional arguments can be used to place some points exactly on the grid
% they would lie on with D[x/y] = 0. The first should be 'PartFixed' -
% this is a boolean and if true, some points are fixed to the grid.
%
% The second argument is 'FractionFixed'. This is an integer value
% (double class variables are accepted, but floor(arg) must be equal to
% (arg)). It specifies inversely how often points should be fixed, eg a
% value of 1 fixes every point, whilst a value of 5 fixes 1/5 of the
% points.
%
% PlotScatter is another boolean value, which sets if a scatter plot of
% the X,Y values corresponding to the cell centres should be included in
% the figure.
function [X, Y, Figure, Axis, Lx, Ly, lineHandles, lineData] = ...
voronoiScriptHex(Boundary, Spacing, Delta, varargin)
p = inputParser;
p.FunctionName = 'voronoiScript';
addRequired(p, 'Boundary', @checkTypes);
addRequired(p, 'Spacing', @isnumeric);
addRequired(p, 'Delta', @checkTypes);
defaultPart = false;
addOptional(p, 'PartFixed', defaultPart, @islogical);
defaultFraction = 2;
addOptional(p, 'FractionFixed', defaultFraction, @isAnInt);
defaultScatter = false;
addOptional(p, 'PlotScatter', defaultScatter, @islogical);
parse(p, Boundary, Spacing, Delta, varargin{:});
% Get values for boundaries and delta
% (Can be vectors or scalars)
if isequal(size(p.Results.Boundary),[1,2])
% Boundary is a vector [maxX, maxY]
BoundaryY = p.Results.Boundary(1,2);
else
BoundaryY = p.Results.Boundary(1,1);
end
if isequal(size(p.Results.Delta),[1,2])
% Delta is a vector [dX, dY]
DeltaY = p.Results.Delta(1,2);
else
DeltaY = p.Results.Delta(1,1);
end
Spacing = p.Results.Spacing;
BoundaryX = p.Results.Boundary(1,1);
DeltaX = p.Results.Delta(1,1);
D1 = [2*Spacing*cosd(30), Spacing];
numP = [ceil(BoundaryX/D1(1,1)) ceil(BoundaryY/D1(1,2))];
D2 = D1 ./ 2;
% Create the values
counter = 1;
xList(numP(1,1)*numP(1,2)) = 0;
yList(numP(1,1)*numP(1,2)) = 0;
for x=1:numP(1,1)
for y = 1:numP(1,2)
xList(counter) = (getPointValue(x, D1(1,1), DeltaX)-D2(1,1));
xList(counter+1) = getPointValue(x, D1(1,1), DeltaX);
yList(counter) = (getPointValue(y, D1(1,2), DeltaY)-D2(1,2));
yList(counter+1) = getPointValue(y, D1(1,2), DeltaY);
counter = counter + 2;
end
end
% Set some of the points to be without random change
if (p.Results.PartFixed),
for counter=1:p.Results.FractionFixed:size(xList,2),
[x, y] = getXYfromC(counter, numP(1,2));
xList(counter) = x*Spacing;
yList(counter) = y*Spacing;
end
end
X = xList;
Y = yList;
% Set manual ticks for the figure axes
ticksX = zeros(1,numP(1,1)+1);
for i=1:numP(1,1)+1,
ticksX(i) = i*D1(1,1);
end
ticksY = zeros(1,numP(1,2)+1);
for i=1:numP(1,2)+1,
ticksY(i) = i*D1(1,2);
end
BoundCoeff = 1.08;
Bounds = [0 BoundCoeff*BoundaryX; 0 BoundCoeff*BoundaryY];
% Give the figure a handle that is returned, and set axes values
Figure = figure;
Axis = axes;
axis equal;
minor = 'off';
gridtoggle = 'off';
set(Axis,'XTickMode','manual','YTickMode','manual', ...
'XGrid',gridtoggle,'YGrid',gridtoggle, ...
'XMinorGrid',minor,'YMinorGrid',minor, ...
'XTick',ticksX,'YTick',ticksY, ...
'XMinorTick',minor,'YMinorTick',minor, ...
'XLim',[0 Bounds(1,2)],'YLim',[0 Bounds(2,2)]);
%set(Axis,'XLim',[0 Bounds(1,2)],'YLim',[0 Bounds(2,2)]);
% Create the voronoi cells, returning the line points
[Lx, Ly] = voronoi(X,Y);
% Strip high values
counter = 1;
reducedXdat = zeros(2,size(Lx,2));
reducedYdat = zeros(2,size(Lx,2));
for i=1:size(Lx,2)
if Lx(1,i) > Bounds(1,1) && Lx(1,i) < Bounds(1,2) && ... % X value of start of line
Lx(2,i) > Bounds(2,1) && Lx(2,i) < Bounds(2,2) && ... % Y value of start of line
Ly(1,i) > Bounds(1,1) && Ly(1,i) < Bounds(1,2) && ... % X value of end of line
Ly(2,i) > Bounds(2,1) && Ly(2,i) < Bounds(2,2), % Y value of end of line
reducedXdat(:,counter) = Lx(:,i);
reducedYdat(:,counter) = Ly(:,i);
counter = counter + 1;
end
end
Lx = reducedXdat(:,1:counter-1);
Ly = reducedYdat(:,1:counter-1);
% Plot the voronoi lines
lineHandles = line(Lx, Ly);
% Set colours to black
if (1)
for i=1:size(lineHandles,1)
set(lineHandles(i),...
'LineWidth',3, ...
'LineSmoothing','on', ...
'Color',[0 0 0]);
end
end
lineData = [Lx; Ly];
if (p.Results.PlotScatter)
hold on;
scatter(X,Y);
end
end
function bool = checkTypes(arg)
bool = (isequal(class(arg),'double') && ...
(isequal(size(arg),[1,1]) || isequal(size(arg),[1,2])));
end
function bool = isAnInt(arg)
bool = (isequal(floor(arg),arg) && ...
isequal(size(arg),[1,1]) && ...
isnumeric(arg));
end
function val = getPointValue(intV, spacing, delta)
val = (((rand(1)-0.5)*delta)+(intV*spacing));
end
function [x,y] = getXYfromC(counter, sizeY)
x = floor(counter/sizeY)+1;
y = counter - ((x-1)*sizeY);
end
SCAD script file to place the voronoi cells within a pair of cylinders for 3D printing a grid. Edit as needed with path, or changes to shapes etc:
$fn = 360;
inkFile = "/path/to/my/file";
scl = 1.05; // Scale variable
transVec = [-100, -98, 0]; // Move the imported image pattern so that it's centred.
union(){
makeRing([0,0,3],inR=96, outR=99, height=6);
makeRing([0,0,1.5], inR=99, outR=102, height=3);
intersection() {
#linear_extrude(height = 6.05, convexity=40, center=false) // Removing the # will get rid of the overlay, which helps see where the grid is.
scale([scl, scl, 1])
translate(transVec)
import(inkFile);
makeCylinder([0,0,3], 96, 6, $fn=360);
}
}
module makeCylinder(centre, radius, height) {
translate(centre){
cylinder(h = height, r = radius, center=true);
}
}
module makeRing(centre,inR, outR, height) {
difference() {
makeCylinder(centre, outR, height);
makeCylinder(centre, inR, height+0.1);
}
}
