albertoxamin / bio-slicing-for-3d-printing

Since 3d printing is a long process, using bio-inspired algorithms to obtain the model that requires less support material and/or prints in less time

3D printing unit cost optimization

Project developed for the course Bio-Inspired Artifical Intelligence taught at the University of Trento

Requirements

python 3.6+

PIP modules:

inspyred
numpy
matplotlib

PrusaSlic3r or Slic3r

How to run

Edit the file slicing.py and set the variable slic3r_path to the path on your system. Set ini_file to the path of your slic3r configuration.

Material Optimization

To run the material optimization

python material_optimization.py

Time Optimization

To run the time optimization

python time_optimization.py

Overall Cost Optimization

To run the overall cost optimization

python main.py

you will find the results in the gcodes folder under the name best_....gcode, the summaries and fitness trends inside the folder summaries.

For the boxplots run the script boxplot.py, the results will be available in the summaries folder.