European Food Research and Technology

, Volume 232, Issue 4, pp 671–677 | Cite as

Modelling the membrane clarification of pomegranate juice with computational fluid dynamics

  • Hossein Mirsaeedghazi
  • Zahra Emam-Djomeh
  • Sayed Mohammad Mousavi
  • Mahdi Navidbakhsh
Original Paper


The fluid behaviour of pomegranate juice—specifically, its velocity and pressure distribution form—can affect yield during the clarification process. This study used computational fluid dynamics (CFD) to predict velocity and pressure patterns in the membrane module during the clarification of pomegranate juice. Module geometry was plotted using GAMBIT software, and the problem was solved using FLUENT 6.2. The results showed that declines in velocity in the feed channel before fouling creation were greater than after fouling creation. Also, maximum value for velocity at the start of the process was lower than at the final stages. Moreover, the feed entrance and retentate exit must have a parallel pattern with the membrane surface to avoid membrane damage from high pressure at the feed entrance. Establishing this parallel pattern allows all surfaces of the membrane to be used for effective clarification.


Clarification CFD Computational fluid dynamics Membrane Modeling Pomegranate 


  1. 1.
    Mirsaeedghazi H, Mousavi SM, Emam-Djomeh Z, Rezaei K, Aroujalian A, Navidbakhsh M (2010) Comparison between ultrafiltration and microfiltration in the clarification of pomegranate juice. J Food Process Eng (accepted paper)Google Scholar
  2. 2.
    Mirsaeedghazi H, Emam-Djomeh Z, Mousavi SM, Ahmadkhaniha R, Shafiee A (2010) Effect of membrane clarification on the physicochemical properties of pomegranate juice. Int J Food Sci Technol 45:1457–1463CrossRefGoogle Scholar
  3. 3.
    Xia B, Sun DW (2002) Application of computational fluid dynamics (CFD) in the food industry: a review. Comput Electron Agr 34:5–24CrossRefGoogle Scholar
  4. 4.
    Pak A, Mohammadi T, Hosseinalipour SM, Allahdini V (2008) CFD modeling of porous membranes. Desalination 222:482–488CrossRefGoogle Scholar
  5. 5.
    Rahimi M, Madaeni SS, Abolhasani M, Abdulaziz Alsairafi A (2009) CFD and experimental studies of fouling of a microfiltration membrane. Chem Eng Process: Process Intensific 48(9):1405–1413CrossRefGoogle Scholar
  6. 6.
    Rahimi M, Madaeni SS, Abbasi K (2005) CFD modeling of permeate flux in cross-flow microfiltration membrane. J Membr Sci 255(1–2):23–31CrossRefGoogle Scholar
  7. 7.
    Pal S, Bharihoke R, Chakraborty S, Ghatak SK, De S, DasGupta S (2008) An experimental and theoretical analysis of turbulence promoter assisted ultrafiltration of synthetic juice. Sep Pur Thecnol 62(3):659–667CrossRefGoogle Scholar
  8. 8.
    Mirsaeedghazi H, Emam-Djomeh Z, Mousavi SM, Navidbakhsh M, Mirhashemi SM (2010) Mathematical modeling of mass transfer in the concentration polarization layer of flat-sheet membranes during clarification of pomegranate juice. Int J Food Sci Technol 45:2096–2100CrossRefGoogle Scholar
  9. 9.
    Mirsaeedghazi H, Emam-Djomeh Z, Mousavi SM, Aroujalian A, Navidbakhsh M (2010) Clarification of pomegranate juice by microfiltration with PVDF membranes. Desalination 264:243–248CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • Hossein Mirsaeedghazi
    • 1
  • Zahra Emam-Djomeh
    • 2
  • Sayed Mohammad Mousavi
    • 2
  • Mahdi Navidbakhsh
    • 3
  1. 1.Department of Food Technology Engineering, Abouraihan CollegeUniversity of TehranPakdashtIran
  2. 2.Department of Food Science, Engineering and TechnologyUniversity of TehranKarajIran
  3. 3.Faculty of Mechanical EngineeringIran University of Science and TechnologyNarmak, TehranIran

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