PyScaffolder

Scaffolder

Transform a 3D model from STL/PLY/OFF/OBJ to a porous model with implicit function (e.g., Schwarz P/ Gyroid).

Documentation

Binary installation

• Download from Github Releases page or
• Install from Anaconda

conda install -c nodtem66 scaffolder

Python supports

pip install PyScaffolder

Blender addon

• Install the Scaffolder-blender.zip downloaded from Release
• The plugin will appear at View > Sidebar or Press N

Screenshots

• Blender plugin with PyScaffolder

• The figure of patterns implemented in this program

• The examples of generated porous scaffold

Dependencies

• libigl - The computational geometry library
• vcglib - The mesh utility library
• sol2 - Lua script integration
• tbb - Threading library

How it works

• Read STL file and finding the boundary box
• Generate the grid and calculate the winding number with STL mesh
• Use winding number to determine the condition for implicit isosurface function
• Generate the isosurface field in the same-size grid
• Perform Dual marching cube to construct the manifold
• Clean up the duplicated vertices or faces, and abandon the group of connected faces having the diameter below the setting
• Export to the target 3D format

FAQ

How can I find the dataset from a study of coffient and isolevel?

The raw dataset is available at Mendeley Data. The program that used to generate that data was released at Github repository. You can also find the interactive visualization at Google Colab

Where is the implicit functions were defined in the C++ sourcecode?

https://github.com/nodtem66/Scaffolder/blob/master/include/implicit_function.h

Can you suggest alternative softwares like this program?

• Rhino (Grasshopper)
• nTopology
• Hyperganic

References

• Minimal surface Blog
• Dual marching cube - dualmc
• Command line parser - cxxopts
• Progress bar - ProgressBar

Citation

Computational method and program for generating a porous scaffold based on implicit surfaces

@article{IAMSAMANG2021106088,
title = {Computational method and program for generating a porous scaffold based on implicit surfaces},
journal = {Computer Methods and Programs in Biomedicine},
volume = {205},
pages = {106088},
year = {2021},
issn = {0169-2607},
doi = {https://doi.org/10.1016/j.cmpb.2021.106088},
url = {https://www.sciencedirect.com/science/article/pii/S0169260721001632},
author = {Jirawat Iamsamang and Phornphop Naiyanetr},
keywords = {Triply periodic minimal surface (TPMS), Implicit surface, Porous scaffold, Pore size, Porosity}
}