(697e) Oxygen Transfer in Bioreactors with High Cell Densities
AIChE Annual Meeting
Tuesday, November 16, 2021 - 2:30pm to 3:00pm
In this work, we use lattice-Boltzmann simulation with Lagrangian bubble tracking to develop a mechanistic model for predicting the behavior of these high cell density bioreactors. All physics are coupled in space and time and mechanistically motivated by first principles. The bubbles evolve according to Newtonsâ second law using the local and instantaneous fluid velocity to compute a drag force. The fluid evolves according to the transient Navier-Stokes equations. The instantaneous fluid force from the bubbles on the fluid are incorporated as a body force. The species field is solved according to the advection-diffusion equation using the instantaneous fluid velocities. The bubbles act as species sources and sinks. In parallel with validation against experimental data, we use this model to examine the physics driving oxygen transfer within such high cell count systems. We then use the model to show how the operating conditions of the reactor can be tuned to achieve ideal oxygen transfer rates across the vessel.