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Simulation of Mass Transfer in Cartilage Regeneration

Tadj Soleiman, Tannaz | 2015

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 47261 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Abd Khodaei, Mohammad Jafar
  7. Abstract:
  8. The in vivo cell culture process as the main part of tissue engineering was investigated through mathematical modelling and computational fluid dynamic (CFD) simulation of cartilage cell growth. Simulations can provideprocess insights for defining the optimum conditions in order to reach higher culture efficiency. In the mathematical modelling of the cell growth, it was intended to consider the most influencing factors such as biomass concentration, volume fraction, glucose concentration and shear stress levels. These results can be obtained mathematically by solving a set of partial differential equations coupling the glucose concentration, the velocity field and cell growth with each other. Next, transient CFD simulations of cell growth were performed using a geometric scaffold model for a long term cell cultivation studies (10-30 days). In this study, the geometry of the scaffold was simplified to a regular fibrous type which consists of a repeatable unit and the simulation was restricted to a single pore. Besides the geometry influence, the effect of shear stress on the cell growth rate was studied in a perfusion micro-bioreactor. The simulation results supported finding an optimized design of the scaffold. In this perspective, a new mathematical algorithm was proposed for improving the scaffold’s pore geometry by considering the fibers diameter and attachment angle as the optimization variables and the culture efficiency as the objective function. The main concept of the optimization routine was to maintain a large effective surface while simultaneously keeping the shear stress level in the range of an expected growth supporting effect to gradually reach the highest culture efficiency
  9. Keywords:
  10. Tissue Engineering ; Mathematical Modeling ; Computational Fluid Dynamics (CFD) ; Geometric Programming ; Scaffold ; Sensitivity Analysis ; Bioreactor Analysis

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