PI3MFT

Printable Iterative 3D Meshed Fractal Toolbox
9 Downloads
Aktualisiert 26. Aug 2025

Anmerkung des Herausgebers: This file was selected as MATLAB Central Pick of the Week

Please first chech the header of main_PI3MFT.m to view the list off possible shapes and options.
Then choose a pattern (pattern_id number) and one shape option.
Example #1
[V,T] = main_PI3MFT(1, 2, true);
gives you the Menger cube at iteration #2, displays it, and stores vertex and triangle sets in V and T output data.
Example #2
[V,T] = main_PI3MFT(2, 3, true);
gives you the cube base koch snowflake at iteration #3, displays it, and stores vertex and triangle sets in V and T output data.
Example #3
[V,T] = main_PI3MFT(16, 3, true); % with torus_shape = true;
gives you the Sierpinki torus at iteration #3, displays it, and stores vertex and triangle sets in V and T output data.
Once you have vertex V and triangle T data output sets, you will need a writer to a 3D printable format (.ply ore .stl writers for instance), which are not included in this toolbox. Beware of the format you use to register your file; some formats (e.g .stl) may mess up the triangulation and waste the 3D printable property.
Normals may not be all coherently oriented; to reorient all them coherently just use reorient_all_faces_coherently function from my mesh processing toolbox or my mesh generation toolbox.
Please don't forget to rate if this code helped and you enjoyed it ! ;-)
3D printed examples created with this code
Cube base Koch snowflake iteration #2
Sierpinski tetrahedron iteration #3
Sierpinski octahedron iteration #3

Zitieren als

Nicolas Douillet (2025). PI3MFT (https://github.com/NicolasDouillet/PI3MFT/releases/tag/v1.1), GitHub. Abgerufen.

Kompatibilität der MATLAB-Version
Erstellt mit R2019b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Veröffentlicht Versionshinweise
1.1

See release notes for this release on GitHub: https://github.com/NicolasDouillet/PI3MFT/releases/tag/v1.1

1.0

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.