CTE / Proceedings 2025 / Simulation of the Ultrafiltration Process: Modern Level and Development Trends

Simulation of the Ultrafiltration Process: Modern Level and Development Trends

DOI: https://doi.org/10.23939/cte2025.01.034
Computer Simulation in the Chemical Technology and Engineering
pp.
34-37
Abstract

The results of the analysis of the publications dedicated to the simulation of the ultrafiltration process during 2011-2020 are represented. The main trends in approaches to the simulation are defined

Keywords (in English)
ultrafiltration
membrane
pressure-driven processes
mathematical modeling
simulation
Author (co-authors)
First name Last name Institutional affiliation E-mail Phone number ORCID ID Academic status, position Institution address Author contribution(s) Institutional affiliation
Serhii
Huliienko
sergiiguliienko@gmail.com
0000-0002-9042-870X
Associate Professor
37, Prospect Beresteiskyi, Kyiv, Ukraine, 03056
Conceptualization
National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
References

[1]     Huliienko, S. V., Korniienko, Y. M., & Gatilov, K. O. (2020). Modern trends in the mathematical simulation of pressure-driven membrane processes. Journal of Engineering Sciences, 7(1), F1–F21. DOI: 10.21272/jes.2020.7(1).f1 

[2]     Huliienko, S. V., Korniyenko, Y. M., Muzyka, S. M., & Holubka, K. (2022). Simulation of reverse osmosis Process: Novel approaches and development Trends. Journal of Engineering Sciences, 9(2), F6–F36. DOI: 10.21272/jes.2022.9(2).f2

[3]     Huliienko, S., Kornienko, Y., Muzyka, S., & Holubka, K. (2024). Mathematical Simulation of Nanofiltration Process: State of art review. Chemistry & Chemical Technology, 18(2), 187–199. DOI: 10.23939/chcht18.02.187 

[4]     Aani, S. A., Mustafa, T. N., & Hilal, N. (2020). Ultrafiltration membranes for wastewater and water process engineering: A comprehensive statistical review over the past decade. Journal of Water Process Engineering, 35, 101241. DOI: 10.1016/j.jwpe.2020.101241 

[5]     Corbatón-Báguena, M., Vincent-Vela, M., Gozálvez-Zafrilla, J., Álvarez-Blanco, S., Lora-García, J., & Catalán-Martínez, D. (2016). Comparison between artificial neural networks and Hermia’s models to assess ultrafiltration performance. Separation and Purification Technology, 170, 434–444. DOI: 10.1016/j.seppur.2016.07.007 

[6]     Thiess, H., Leuthold, M., Grummert, U., & Strube, J. (2017). Module design for ultrafiltration in biotechnology: Hydraulic analysis and statistical modeling. Journal of Membrane Science, 540, 440–453. DOI: 10.1016/j.memsci.2017.06.038 

[7]     Dzhonova-Atanasova, D. B., Tsibranska, I. H., & Paniovska, S. P. (2018). CFD Simulation of Cross-Flow filtration. DOAJ (DOAJ: Directory of Open Access Journals). DOI: 10.3303/cet1870341

[8]     Mukherjee, R., Bhunia, P., & De, S. (2018). Long term filtration modelling and scaling up of mixed matrix ultrafiltration hollow fiber membrane: a case study of chromium(VI) removal. Journal of Membrane Science, 570–571, 204–214. DOI: 10.1016/j.memsci.2018.10.026 

[9]      Azamat, J., Baghbani, N. B., & Erfan-Niya, H. (2020). Atomistic understanding of functionalized γ-graphyne-1 nanosheet membranes for water desalination. Journal of Membrane Science, 604, 118079. DOI: 10.1016/j.memsci.2020.118079

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