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Multiphysics simulation

Manufactured by Comsol

COMSOL Multiphysics is a simulation software that allows users to model and analyze multiphysics problems. It provides a unified environment for defining geometry, material properties, and boundary conditions, as well as obtaining numerical solutions and visualizing results.

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Lab products found in correlation

2 protocols using multiphysics simulation

1

Development of Kidney Microphysiological System

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After the microdevice was assembled, it was exposed to ultraviolet light for 30 min. The porous membrane was coated with collagen type I hydrogel at 37 °C for 2 h. The hRPTECs or HK2 cells (2 × 105 cells/ cm2) were seeded on the lower microfluidic channel and incubated upside down at 37 °C for 2 h, allowing the seeded hRPTECs or HK2 cells to attach to the porous membrane surface. Then, 100 μL of the culture medium was added to each chamber and the device was placed on the iBAC Rocker (MR100110, Daxiang biotech, Beijing, China) for dynamic culture.
The fluid dynamics on the iBAC were simulated using COMSOL Multiphysics to verify and optimize the swing frequency and swing angle for desired shear stress. Finally, the relative stable fluid flow rate (180 μL/min) and shear force (0.22 dyne/cm2) could be achieved when the swing angle was 30 degrees and the swing frequency was 1 circle/min (Figure S2). The shear stress inside the channel was calculated by COMSOL Multiphysics simulation.
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2

Computational Fluid Dynamics Analysis of Blood Flow

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All shapes were designed in SOLIDWORKS® software and then implemented in COMSOL Multiphysics® simulation software. The governing equations of the blood fluid flow are the Navier-Stokes equation for the incompressible laminar flow, continuity, viscosity, and particle tracking. ρut+u.u=.-PI+μu+uT-23μ.uI+ρg ρt+.ρu=0
Where P, μ and ρ are the pressure, dynamic viscosity,y and density of the fluid respectively. u is the velocity vector, t is time and g is the gravitational acceleration, and I is the identity matrix.
Blood is a non-Newtonian fluid, but it is represented in our simulations as a Newtonian fluid. The corresponding dynamic viscosity μ in Eq. (1) is calculated based on the non-Newtonian power law equation from the following equation. μ=mγ.n-1
And γ.=maxD:D,γmin.
with D=12u+uT
Where m, n and γ. are the fluid consistency coefficient, flow behaviour index, and lower shear rate limit respectively.
To verify the numerical method, each model was implemented 3 times under equal simulated conditions and the differences between the results obtained were examined. In the next step, we increased the input speed to the chip at a constant rate in 4 steps and evaluated the results. If the trend of the results is proportional to the rate of acceleration rate, the accuracy of the simulations performed is supported.
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