radcompressor 1.0.0

A mean-line analysis model for radial compressors

RadComp: Radial compressor mean-line model

Mean-line (1D) model for evaluating radial compressors. The code is adapted from the version developed by Schiffmann and Favrat[^1], 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.

[^1]: Jürg Schiffmann and Daniel Favrat, “Design, experimental investigation and multi-objective optimization of a small-scale radial compressor for heat pump applications,” Energy, vol. 35, no. 1, pp. 436–450, Jan. 2010, doi: 10.1016/j.energy.2009.10.010.

Datasets

The dataset related to DATED will be uploaded soon.

Using the model

Installation

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]

Basic Usage

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

Citation

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.