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.

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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
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article

A Novel Computational Framework for Extraction Chromatography Calculation: ANSYS Fluent Coupled with Python

Masahiko Nakase, Yuichi Sano, Masayuki Takeuchi, Sou WATANABE
Progress in Nuclear Science and Technology
Analytical Chemistry and Chromatography
article

A Novel Computational Framework for Extraction Chromatography Calculation: ANSYS Fluent Coupled with Python

Masahiko Nakase, Yuichi Sano, Masayuki Takeuchi, Sou WATANABE
article en

Abstract

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.

Progress in Nuclear Science and TechnologyVol. 8(0)
Japan Atomic Energy Agency (JP), Shanghai Institute for Science of Science (CN), Institute of Science Tokyo (JP)
Openalex Percentile: Top 72%
Analytical Chemistry and Chromatography
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A Novel Computational Framework for Extraction Chromatography Calculation: ANSYS Fluent Coupled with Python — Masahiko Nakase, Yuichi Sano, et al. · Progress in Nuclear Science and Technology (2025) | TGRS Research Map | TGRS