Mean-line (1D) model for evaluating radial compressors. The code is adapted from the version developed by Schiffmann and Favrat¹, and was used to generate a turbo-compressor dataset for DATED.

Cyril Picard, Jürg Schiffmann and Faez Ahmed, "DATED: Guidelines for Creating Synthetic Datasets for Engineering Design Applications", 2023.

The dataset related to DATED is available on Zenodo.

To install this package, first make sure that you have Python >= 3.9 installed in your environment. If not, we recommend to install Python using mambaforge.

git clone https://github.com/cyrilpic/radcomp
cd radcomp
pip install .

If you want to install all dependencies to use the dataset generation scripts:

pip install .[generate]

A step-by-step example is provided in the EvaluateCompressor.ipynb notebook.

If you use the dataset or the model, you can cite our publication:

Cyril Picard, Jürg Schiffmann and Faez Ahmed, "DATED: Guidelines for Creating Synthetic Datasets for Engineering Design Applications", 2023.