Open Access
Issue
Mechanics & Industry
Volume 18, Number 4, 2017
Article Number 406
Number of page(s) 6
DOI https://doi.org/10.1051/meca/2017011
Published online 28 August 2017
  1. H.K. Versteeg, An introduction to computational fluid dynamics the finite volume method, 2/E, Pearson Education, India, 1995 [Google Scholar]
  2. J. Marriott, E. Sørensen, I. Bogle, Detailed mathematical modelling of membrane modules, Comput. Chem. Eng. 25 (2001) 693–700 [CrossRef] [Google Scholar]
  3. D.E. Wiley, D.F. Fletcher, Computational fluid dynamics modelling of flow and permeation for pressure-driven membrane processes, Desalination 145 (2002) 183–186 [CrossRef] [Google Scholar]
  4. E. Farno, M. Rezakazemi, T. Mohammadi, N. Kasiri, Ternary gas permeation through synthesized PDMS membranes: experimental and CFD simulation based on a sorption-dependent system using neural network model, Polym. Eng. Sci. 54 (2014) 215–226 [CrossRef] [Google Scholar]
  5. W.-H. Chen, C.-H. Lin, Y.-L. Lin, Flow-field design for improving hydrogen recovery in a palladium membrane tube, J. Membr. Sci. 472 (2014) 45–54 [CrossRef] [Google Scholar]
  6. R. Ghidossi, D. Veyret, P. Moulin, Computational fluid dynamics applied to membranes: state of the art and opportunities, Chem. Eng. Process.: Process Intensif. 45 (2006) 437–454 [CrossRef] [Google Scholar]
  7. L. Bao, G.G. Lipscomb, Well-developed mass transfer in axial flows through randomly packed fiber bundles with constant wall flux, Chem. Eng. Sci. 57 (2002) 125–132 [CrossRef] [Google Scholar]
  8. J.M. Gozálvez-Zafrilla, A. Santafé-Moros, S. Escolástico, J.M. Serra, Fluid dynamic modeling of oxygen permeation through mixed ionic-electronic conducting membranes, J. Membr. Sci. 378 (2011) 290–300 [CrossRef] [Google Scholar]
  9. M. Amokrane, D. Sadaoui, M. Dudeck, C.P. Koutsou, New spacer designs for the performance improvement of the zigzag spacer configuration in spiral-wound membrane modules, Desalin. Water Treat. 57 (2016) 5266–5274 [CrossRef] [Google Scholar]
  10. M. Ahsan, A. Hussain, Computational fluid dynamics (CFD) modeling of heat transfer in a polymeric membrane using finite volume method, J. Therm. Sci. 25 (2016) 564–570 [CrossRef] [Google Scholar]
  11. G.G. Lipscomb, S. Sonalkar, Sources of nonideal flow distribution and their effect on the performance of hollow fiber gas separation modules, Sep. Purif. Rev. 33 (2005) 41–76 [CrossRef] [Google Scholar]
  12. H. Takaba, S.-I. Nakao, Computational fluid dynamics study on concentration polarization in H2CO separation membranes, J. Membr. Sci. 249 (2005) 83–88 [CrossRef] [Google Scholar]
  13. M. Amokrane, D. Sadaoui, M. Dudeck, Effect of inter-filament distance on the improvement of reverse osmosis desalination process, S01 Modélisation avancée en mécanique des solides et des fluides, 2015 [Google Scholar]
  14. D. Fletcher, D. Wiley, A computational fluids dynamics study of buoyancy effects in reverse osmosis, J. Membr. Sci. 245 (2004) 175–181 [CrossRef] [Google Scholar]
  15. Z. Cao, D. Wiley, A. Fane, CFD simulations of net-type turbulence promoters in a narrow channel, J. Membr. Sci. 185 (2001) 157–176 [CrossRef] [Google Scholar]
  16. V.T. Geraldes, V. Semião, M.N. de Pinho, Flow and mass transfer modelling of nanofiltration, J. Membr. Sci. 191 (2001) 109–128 [CrossRef] [Google Scholar]
  17. C. Koutsou, S. Yiantsios, A. Karabelas, Numerical simulation of the flow in a plane channel containing a periodic array of cylindrical turbulence promoters, J. Membr. Sci. 231 (2004) 81–90 [CrossRef] [Google Scholar]
  18. C. Koutsou, S. Yiantsios, A. Karabelas, Direct numerical simulation of flow in spacer-filled channels: effect of spacer geometrical characteristics, J. Membr. Sci. 291 (2007) 53–69 [CrossRef] [Google Scholar]
  19. T. Katoh, M. Tokumura, H. Yoshikawa, Y. Kawase, Dynamic simulation of multicomponent gas separation by hollow-fiber membrane module: nonideal mixing flows in permeate and residue sides using the tanks-in-series model, Sep. Purif. Technol. 76 (2011) 362–372 [CrossRef] [Google Scholar]
  20. W. Koros, G. Fleming, Membrane-based gas separation, J. Membr. Sci. 83 (1993) 1–80 [CrossRef] [Google Scholar]
  21. B. McLellan, E. Shoko, A. Dicks, J. Diniz da Costa, Hydrogen production and utilisation opportunities for Australia, Int. J. Hydrog. Energy 30 (2005) 669–679 [CrossRef] [Google Scholar]
  22. J. Zhang, D. Liu, M. He, H. Xu, W. Li, Experimental and simulation studies on concentration polarization in H2 enrichment by highly permeable and selective Pd membranes, J. Membr. Sci. 274 (2006) 83–91 [CrossRef] [Google Scholar]
  23. M. Abdel-Jawad, S. Gopalakrishnan, M. Duke, M. Macrossan, P.S. Schneider, J. Diniz da Costa, Flowfields on feed and permeate sides of tubular molecular sieving silica (MSS) membranes, J. Membr. Sci. 299 (2007) 229–235 [CrossRef] [Google Scholar]
  24. A. Fluent, Fluent 6.3 user guides: 8.6 User-Defined Scalar (UDS) diffusivity, Fluent Inc., USA, 2006, pp. 50–58 [Google Scholar]
  25. A. Fluent, Fluent 6.3 UDF manual, Fluent Inc., USA, 2006 [Google Scholar]
  26. R.W. Baker, Membrane technology and applications, third edition, Wiley, UK, 2004, pp. 325–378 [Google Scholar]
  27. M. Ahsan, A. Hussain, Mathematical modelling of membrane gas separation using the finite difference method, Pac. Sci. Rev. A: Nat. Sci. Eng. 18 (2016) 47–52 [Google Scholar]
  28. S.S. Hosseini, J.A. Dehkordi, P.K. Kundu, Gas permeation and separation in asymmetric hollow fiber membrane permeators: mathematical modeling, sensitivity analysis and optimization, Korean J. Chem. Eng. 33 (2016) 3085–3101 [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.