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fqlearn

This Project aims to facilitate the teaching of unit operations and thermodynamics. Designed in python, it intends to be a library that uses graphical methods and that applies modern equations solve problems related.

Features

Now this repo has a module to graph an example for McCabeThiele solution to binary destilation

Example

from fqlearn.McCabeThiele import McCabeThiele
model = McCabeThiele()
model.set_data(compound_a="methanol", compound_b="water")
model.set_compositions(xD=0.94, xW=0.05)
model.set_feed(q=0.5, xF=0.5)
model.solve()
model.plot()

mccabe thiele

Contributing

We welcome contributions from the community. If you'd like to contribute to this project, please follow these guidelines:

  • Fork the repository.
  • Create a new branch for your feature or bug fix: git checkout -b feature-name
  • Commit your changes and provide descriptive commit messages.
  • Push your branch to your fork: git push origin feature-name
  • Create a Pull Request to the main branch of the original repository.

For more details check in docs/contributing.md

License

This project is licensed under the CC-BY-4.0.

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A library to help teaching mass transfer and thermodynamics.

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