Engineering Bioreactor Fluid Dynamics for Performance, Digital Twin Development and Democratized Process Simulation
Robust bioreactor performance depends on a thorough understanding of the physical and biological phenomena governing the process — fluid flow patterns, mixing efficiency, oxygen transfer, and shear distribution. A critical consideration is that the process fluid is not static: as biomass accumulates, broth rheology evolves progressively, altering the hydrodynamics, mass transfer capacity in ways that directly affect mixing performance, shear exposure, and cell culture productivity.
The process knowledge built through systematic parametric analysis leads to the identification of an optimum design but beyond this — it generates the data foundation for a Reduced Order Model (ROM) that serves as the connective tissue between rigorous simulation and broader process deployment. The ROM simultaneously powers a bioreactor digital twin for dynamic process simulation and real-time decision support, and a democratized web application that gives process scientists and engineers direct, intuitive access to process insight without CFD expertise.
Case studies illustrate how this progression — from first-principles fluid dynamics through parametric analysis, ROM construction, and digital twin and web-deployed simulation — reduces scale-up risk, supports process intensification, and builds the process understanding required for operational excellence and regulatory readiness.
