A Novel Computational Framework for Extraction Chromatography Calculation: ANSYS Fluent Coupled with Python
Extraction chromatography is practical for small-scale, high-level separations.Numerical simulation can help find an appropriate operational condition when scaling up and designing a separation flowsheet.The simulation can also be applied to safety analysis, such as the transient situation of the flow stop.However, parameter fitting requires iterative calculation attempts and many varied parameters sometimes cause errors and mistakes.Therefore, we have developed an environment that enables efficient and iterative calculations by connecting ANSYS Fluent and Python using the PyFluent module on Jupyter Notebook.This development promises a more efficient future for the technology, making the audience feel optimistic about its potential.
Authors
- Masahiko Nakase (ORCID: https://orcid.org/0000-0002-3748-0373)
- Yuichi Sano (ORCID: https://orcid.org/0009-0009-3337-8396)
- Masayuki Takeuchi (ORCID: https://orcid.org/0000-0002-0207-0665)
- Sou WATANABE
Institutions
- Japan Atomic Energy Agency (JP)
- Shanghai Institute for Science of Science (CN)
- Institute of Science Tokyo (JP)
Publication Details
- Journal
- Progress in Nuclear Science and Technology
- Published
- 2025-09-30
- DOI
- https://doi.org/10.15669/pnst.8.209
- Primary Topic
- Analytical Chemistry and Chromatography
- Type
- article
- Field-Weighted Citation Impact
- 0.00