De Novo Bioreactor Design
Advanced Hydrodynamic Validation & Multiphase CFD Simulations
Validation Physics
Standard empirical correlations fail when geometry is unconventional. BioFlo applies fundamental transport phenomena and turbulence modeling to predict reactor performance accurately.
Mass Transfer Modeling
Instead of relying on empirical constants, we calculate local oxygen transfer based on surface renewal rates in the turbulent regime:
\[ k_L \approx 2 \sqrt{\frac{D_{O_2} \cdot \epsilon^{1/3}}{\pi \cdot \nu^{1/2}}} \]
Where \(\epsilon\) is the local energy dissipation rate and \(\nu\) is kinematic viscosity.
Mixing & Scale-Up
Quantifying the circulation time and mixing efficiency through residence time distribution (RTD) analysis:
\[ \theta_{95} \approx 5.9 \cdot \left( \frac{D^2}{P_m} \right)^{1/3} \]
Validated via interFoam and buoyantPimpleFoam solvers.
Computational Workflow
- Non-Newtonian Rheology: Modeling power-law or Bingham plastic behavior for high-viscosity microbial broths.
- Shear Stress Distribution: Mapping Kolmogorov length scales (\( \eta = (\nu^3 / \epsilon)^{1/4} \)) against cell size to prevent mechanical lysis.
- Gas Holdup Analysis: Predicting bubble size distribution and gas residence time in airlift or bubble column de novo designs.
Expert Simulation Services
Transition your custom bioreactor from concept to validated prototype with high-fidelity CFD modeling.
Contact for Design Consulting
Technical inquiries: ajit@bioflo.in