This case is based on the studies from Spann et al. and Tajsoleiman et al. on the formation of pH gradients in a 700 L batch fermentation of Streptococcus thermophilus. These studies employed a single-phase CFD simulation to predict the evolution of pH gradients experimentally observed, and then assessed their effect on growth when coupled to a biokinetic model. Later, Nadal-Rey et al. utilized this reactor geometry to propose a workflow for developing a dynamic compartment model based on a library of staggered simulations, aiming to obtain a close-to-real-time representation of the hydrodynamics and respective gradients of substrate and oxygen.
Here, we constrained ourselves to solely solve for the flow fields based on this bioreactor geometry for different combinations of operating conditions. The combinations of operating conditions were sampled via a Latin-Hypercube-Sampling (LHS) approach, which stratifies each factor and selects one value per stratum to achieve near-uniform coverage with far fewer samples than simple random sampling. Hence, two distinct sets are shared: 1) With fixed impeller configuration, and 2) variable impeller configuration.
Further details about the meshing workflow, models implemented, and their parameterization can be found in the README.md file.
This dataset is part of the BioBrAIn collection - A CFD database of bioreactors.
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