ProcessGraph 1.0

Connecting Process Network Synthesis (PNS) to Modern Programming Ecosystems

Pgraph : Process Graphs for Process Network Synthesis (PNS)

Table of Contents

• About the Project
• Getting Started
• Example Code
• Contributing
• License
• Contact
• References

About The Project

This project aims at enabling the classical P-graph Framework (www.p-graph.org) to interface with modern Python programming ecosystems. The backend solver is the original executable from P-graph, staying true to the original implementation of P-graph. For manual network manipulation, the P-graph studio can be downloaded from this link: https://p-graph.org/downloads/.

Getting Started

Install this library either from the official pypi or from this Github repository:

Install a Stable Version (pypi)

pip install 

Install most updated version from Github

In a environment terminal or CMD:

pip install git+https://github.com/tsyet12/Pgraph

Example Code

See examples for code examples.

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b testbranch/prep)
3. Commit your Changes (git commit -m 'Improve testbranch/prep')
4. Push to the Branch (git push origin testbranch/prep)
5. Open a Pull Request

License

Distributed under the Open Sourced BSD-2-Clause License. See LICENSE for more information.

Contact

Main Developer:

Sin Yong Teng [e-mail] or [e-mail] Radboud University Nijmegen

References

Friedler, F., Tarjan, K., Huang, Y.W. and Fan, L.T., 1992. Graph-theoretic approach to process synthesis: axioms and theorems. Chemical Engineering Science, 47(8), pp.1973-1988.

Friedler, F., Tarjan, K., Huang, Y.W. and Fan, L.T., 1992. Combinatorial algorithms for process synthesis. Computers & chemical engineering, 16, pp.S313-S320.

Friedler, F., Tarjan, K., Huang, Y.W. and Fan, L.T., 1993. Graph-theoretic approach to process synthesis: polynomial algorithm for maximal structure generation. Computers & Chemical Engineering, 17(9), pp.929-942.