Project Structure

OpenGlider has grown towards a set of tools:

• airfoil: a class for easy airfoil-manipulations (map x_values, set nr. of coordinates, normalize,...)
• freecad: freecad workbench as a possible gui

• glider: Classes related to building paragliders:

  • Glider
  • Rib
  • Cell
  • ...

• graphics: a wrapper to simulate mathematica-graphics with the use of vtk
• gui: several qt-widgets
• input: matplotlib inputs of splines, shape, aoa,...
• jsonify: store OpenGlider objects in json format, load them and migrate between versions

• lines: A class for LineSets which could be on paragliders, kites,...

  Line-geometry is calculated as a linear-equation-system and sag is added

• plots: functions to create plots ready to be sent to factories

• utils:

  • cache: a Cache-class to be inherited and a decorator to be applied on class-functions.

    This adds a cache to calculus-intensive functions

  • bezier: a bezier curve implementation

• vector: 2D- and 3D-vector operations and Objects (Polyline, Polygon)

Airfoil

Airfoils are considered to follow the ‘.dat’ convention, which means they are represented by a list of (x, y) vectors, starting from upper-back via the nose towards the lower end. For convenience, profilepoints can be called for x-values in the range (-1,1) whereas <0 significates a point on the upper surface, 0==nose, >0 -> lower surface

Glider

A glider consits of cells, which themselves consist of ribs, miniribs,.. It can also contain a LineSet In order to create a glider you have to create ribs first, then create cells from the ribs. Openglider defines ballooning per rib.

class openglider.glider.Glider(cells=None, lineset=None)

apply_mean_ribs(num_mean=8)

Calculate Mean ribs :param num_mean: :return:

copy_complete()

Returns a mirrored and combined copy of the glider, ready for export/view

get_point(y=0, x=-1)

Get a point on the glider :param y: span-wise argument (0, cell_no) :param x: chord-wise argument (-1, 1) :return: point

get_spanwise(x=None)

Return a list of points for a x_value

return_ribs(num=0, ballooning=True)

Get a list of rib-curves :param num: number of midribs per cell :param ballooning: calculate ballooned cells :return: nested list of ribs [[[x,y,z],p2,p3...],rib2,rib3,..]

shape_flattened

Projected Shape of the glider (as it would lie on the ground - flattened)

shape_simple

Simple (rectangular) shape representation for spline inputs