eweilow/SF2567-hybrid-rocket-simulation-project

SF2567 - Project Course in Scientific Computing, simulating a hybrid rocket engine

SF2567-hybrid-rocket-simulation-project

SF2567 - Project Course in Scientific Computing, simulating a hybrid rocket engine

Dependencies

To manage dependencies in a nice way, this project is based around a single Dockerfile. One must thus run all the code inside Docker, but that's a useful tradeoff to manage the native dependencies. The ones that come with the Dockerfile are:

• Native dependencies:
  • Build tools:
    • wget
    • cmake + make
    • gcc + gfortran
    • libopenblas-dev + liblapack-dev
    • sundials
  • coolprop (installed with pip)
  • NASA CEA (installed with pip)
• pip dependencies:
  • numpy
  • scipy
  • matplotlib
  • scikits.odes
  • coolprop
  • rocketcea
  • Cython

Get started

Start by building the main project Dockerfile. This has all the dependencies necessary already installed. The tag (-t sf2567-python) is important here!

docker build -t sf2567-python .

The build should now be saved as a Docker image on your computer, to be used by the different parts of this project.

To run each part of the simulation, one can use the command

bash run.sh && python plot.py

This should be mostly cross-compatible between platforms (and works in Windows if one has WSL enabled).