Pressure-driven polymeric membrane performance prediction, new membrane dimensionless number, and considerations for effective membrane design, selection, testing, and operation
The demand for polymeric membranes in industries such as fine chemicals, petroleum, and pharmaceuticals underscores the need to optimize organic separation systems. This involves enhancing performance, longevity, and cost-efficiency while tackling chemical and mechanical instabilities. A model is he...
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Membrane Science and Technology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/frmst.2024.1454589/full |
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| author | Alexander R. Anim-Mensah Alexander R. Anim-Mensah |
| author_facet | Alexander R. Anim-Mensah Alexander R. Anim-Mensah |
| author_sort | Alexander R. Anim-Mensah |
| collection | DOAJ |
| description | The demand for polymeric membranes in industries such as fine chemicals, petroleum, and pharmaceuticals underscores the need to optimize organic separation systems. This involves enhancing performance, longevity, and cost-efficiency while tackling chemical and mechanical instabilities. A model is here developed which relates membrane performance, indicated by the permeate solute concentration (Cpi) of species i, to the real-time compressive Young’s modulus (E) during compaction with permeation under a transmembrane pressure (ΔP) or compressive stress. Lower Cpi values indicate better performance. The model integrates solvent densities (ρi), solubility parameters of the membrane (δM), solute (δSo), solvent (δSv), and the extent of membrane constraint (ϕ). It also considers membrane swelling (Ls) and compaction (Lc) with the associated Poisson ratio (γ), providing a comprehensive framework for predicting membrane performance. A key feature is the dimensionless parameter β, defined as ln (Ls/Lc), which describes different operational regimes (β < 1, β = 1, β > 1). This parameter connects membrane affinity characteristics with mechanical properties. The model’s capabilities were demonstrated using three organic separation systems (A, B, and C) which separated isoleucine from DMF, methanol, and hexane solutions, respectively, using nanofiltration (NF) membranes with low, medium, and high E values. The transmembrane pressure ranged from 0.069 to 5.52 MPa (10–800 psi) for β < 1. The performance results indicate that the trend of System B (medium E) > System A (low E) > System C (high E), correlating to decreasing solvent–solute interactions (ΔδSoSv) and compaction levels. Moderate compaction, resulting in moderate membrane resistance and densification, proved beneficial. Cpi–β plots revealed three distinct slopes, corresponding to elastic deformation, plastic deformation, and the densification of membrane polymers, thus guiding optimal ΔP ranges for operation. This model paves the way for advancing polymeric pressure-driven membrane research and offers new insights into membrane selection, testing, design, and operation. |
| format | Article |
| id | doaj-art-c4cd1428814146cb98e79fe3a7156465 |
| institution | Kabale University |
| issn | 2813-1010 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Membrane Science and Technology |
| spelling | doaj-art-c4cd1428814146cb98e79fe3a71564652025-02-07T06:49:20ZengFrontiers Media S.A.Frontiers in Membrane Science and Technology2813-10102025-02-01310.3389/frmst.2024.14545891454589Pressure-driven polymeric membrane performance prediction, new membrane dimensionless number, and considerations for effective membrane design, selection, testing, and operationAlexander R. Anim-Mensah0Alexander R. Anim-Mensah1African Membrane Society (AMSIC), a Ecole Nationale d’Ingénieurs du Mali Abderhamane Baba Touré, Bamako, Malii2i Innovation MegaHub (i2iMegaHub), Accra, GhanaThe demand for polymeric membranes in industries such as fine chemicals, petroleum, and pharmaceuticals underscores the need to optimize organic separation systems. This involves enhancing performance, longevity, and cost-efficiency while tackling chemical and mechanical instabilities. A model is here developed which relates membrane performance, indicated by the permeate solute concentration (Cpi) of species i, to the real-time compressive Young’s modulus (E) during compaction with permeation under a transmembrane pressure (ΔP) or compressive stress. Lower Cpi values indicate better performance. The model integrates solvent densities (ρi), solubility parameters of the membrane (δM), solute (δSo), solvent (δSv), and the extent of membrane constraint (ϕ). It also considers membrane swelling (Ls) and compaction (Lc) with the associated Poisson ratio (γ), providing a comprehensive framework for predicting membrane performance. A key feature is the dimensionless parameter β, defined as ln (Ls/Lc), which describes different operational regimes (β < 1, β = 1, β > 1). This parameter connects membrane affinity characteristics with mechanical properties. The model’s capabilities were demonstrated using three organic separation systems (A, B, and C) which separated isoleucine from DMF, methanol, and hexane solutions, respectively, using nanofiltration (NF) membranes with low, medium, and high E values. The transmembrane pressure ranged from 0.069 to 5.52 MPa (10–800 psi) for β < 1. The performance results indicate that the trend of System B (medium E) > System A (low E) > System C (high E), correlating to decreasing solvent–solute interactions (ΔδSoSv) and compaction levels. Moderate compaction, resulting in moderate membrane resistance and densification, proved beneficial. Cpi–β plots revealed three distinct slopes, corresponding to elastic deformation, plastic deformation, and the densification of membrane polymers, thus guiding optimal ΔP ranges for operation. This model paves the way for advancing polymeric pressure-driven membrane research and offers new insights into membrane selection, testing, design, and operation.https://www.frontiersin.org/articles/10.3389/frmst.2024.1454589/fullmembrane modeldimensionless numbermembrane swellingmembrane compactionmembrane separation |
| spellingShingle | Alexander R. Anim-Mensah Alexander R. Anim-Mensah Pressure-driven polymeric membrane performance prediction, new membrane dimensionless number, and considerations for effective membrane design, selection, testing, and operation Frontiers in Membrane Science and Technology membrane model dimensionless number membrane swelling membrane compaction membrane separation |
| title | Pressure-driven polymeric membrane performance prediction, new membrane dimensionless number, and considerations for effective membrane design, selection, testing, and operation |
| title_full | Pressure-driven polymeric membrane performance prediction, new membrane dimensionless number, and considerations for effective membrane design, selection, testing, and operation |
| title_fullStr | Pressure-driven polymeric membrane performance prediction, new membrane dimensionless number, and considerations for effective membrane design, selection, testing, and operation |
| title_full_unstemmed | Pressure-driven polymeric membrane performance prediction, new membrane dimensionless number, and considerations for effective membrane design, selection, testing, and operation |
| title_short | Pressure-driven polymeric membrane performance prediction, new membrane dimensionless number, and considerations for effective membrane design, selection, testing, and operation |
| title_sort | pressure driven polymeric membrane performance prediction new membrane dimensionless number and considerations for effective membrane design selection testing and operation |
| topic | membrane model dimensionless number membrane swelling membrane compaction membrane separation |
| url | https://www.frontiersin.org/articles/10.3389/frmst.2024.1454589/full |
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