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Thermophysics and Aeromechanics

2018 year, number 2

Modeling of fluid flow in a biological reactor of rotational type

V.L. Ganimedov1, E.O. Tsibulskaya1,2, N.A. Maslov1,2, and P.M.В Larionov2,3


1Khristianovich Institute of Theoretical and Applied Mechanics SB RAS, Novosibirsk, Russia

2Novosibirsk State University, Novosibirsk, Russia

3Novosibirsk Research Institute of Traumatology and Orthopedics n. a. Ya.L. Tsivyan, Novosibirsk, Russia

E-mail: euglenaria@gmail.com


Keywords: rotational bioreactor, mathematical modeling, coaxial cylinders, laminar flow regime, shear stress, Couette flow, Taylor’s number.
Pages: 211–218

Abstract

The technology using for the replacement of damaged tissues the own cells of the patient, which are placed in a three-dimensional frame – scaffold, is promising for solving the problem of the bone tissue regeneration. A new biological reactor of the rotational type, in which the scaffold tissue rotates in a medium for cultivating the cells, was designed for the development of this technique. A numerical algorithm based on the ANSYS program was developed, which enables one to estimate in a new bioreactor the level of the mechanical load on the cells, which affects their pro­perties. The algorithm enables the computation of the values of the shear stress and static pressure acting on the scaf­fold surface. The computations have shown that the necessary shear stress is reached in the proposed rotational bioreactor on the outer side of the inner cylinder (0.002-0.1 Pa) in the range of rotation frequencies 0.083 < f < 0.233 Hz. At the same time, computational results have revealed the presence of an inhomogeneity in the mechanical action distribution along the scaffold tissue, which is due to the appearance of two Taylor vortices with opposite rotation directions in the gap between the cylinders. The experiments on the flow field visualization inside the rotational biological reactor have shown a qualitative agreement of the flow character with computational results. The proposed numerical algorithm may simulate with sufficient accuracy the fluid flow in a real system. The obtained dependencies can be used in practice for creating an optimal microenvironment of the cells cultivated in the biological reactor.


DOI: 10.1134/S0869864318020063