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Aerodynamics in Python.

Project description

travisci appveyor Documentation Status license

ezaero (easy-aero) is an open source Python package oriented to implement numerical methods for Aerodynamics, such as the 3D Vortex lattice Method for lifting surfaces.

https://github.com/partmor/ezaero/raw/master/docs/examples/cl_distribution.png

Documentation

Documentation Status

API documentation and examples can be found on https://ezaero.readthedocs.io.

Examples

You can check out the examples in the gallery, and export them as .py scripts or Jupyter notebooks to continue exploring!

Requirements

ezaero has the following dependencies:

  • Python (>=3.5)

  • NumPy

  • matplotlib

ezaero is tested on Linux, Windows and OS X on Python 3.5, 3.6 and 3.7.

Platform

Site

Status

Linux

Travis CI

travisci

OS X

Travis CI

travisci

Windows x64

Appveyor

appveyor

Installation

To install the package, simply use pip:

$ pip install ezaero

Contributing

All contributions and suggestions are welcome! For more details, check out CONTRIBUTING.rst.

Motivation

This library is a free-time project. I am using it as an excuse to:

  1. Experiment the performance of several scientific computing packages and tools (NumPy, Numba, etc.) applied to a computation-intensive application.

  2. Learn how to properly package an open source Python library, leveraging testing with the excelent free CI tools.

  3. Redo properly (in terms of performance optimization, SW best practices, …) a project I enjoyed a lot during my Master Thesis, back in 2014. I have always been curious to know how much could I improve the code performance.

My thesis covered the analysis of the aeroelastic response of an UAV in a gust scenario.

My plan is to implement the following modules in order:

  • 3D steady VLM

  • 3D then unsteady VLM

  • Wing motion equation solver (aeroelastic response)

If for some reason you run across this project, and find it useful or have suggestions, don’t be shy! feel free to contribute or drop me a line.

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