Fluidized Bed Bio-Reactor

Fluidized Bed Bio-Reactor, ANSYS Fluent Training

Description

This project simulates a fluidized bed bio-reactor (FBR) using ANSYS Fluent, applying the Eulerian multiphase model to capture the interaction between air and silicon particles within the reactor.

Fluidized bed bio-reactors are versatile devices used across a range of industries, including biomedical research, food processing, and chemical and pharmaceutical manufacturing. Their defining principle — fluidization, where an upward gas flow suspends solid particles in a fluid-like state — offers advantages in mixing, heat transfer, and reaction efficiency that make FBRs a widely adopted technology across these sectors.

The bio-reactor geometry was designed in Design Modeler and meshed in ANSYS Meshing using a structured mesh, with mesh quality specifically optimized to accurately capture the complex multiphase behavior characteristic of fluidized systems.

Methodology

The Eulerian multiphase model was configured with the Granular sub-model activated to represent the particle phase, including phase property models for calculating granular temperature and drag and virtual mass forces defined between the air and particle phases.

Heat transfer between the air and particles was captured using the Ranz-Marshall model, with the energy equation enabled to resolve temperature distribution throughout the reactor and the standard k-epsilon model applied for turbulence. Particle-particle interactions were captured through defined restitution coefficients, with gravitational effects included to properly represent particle motion, and the simulation run to capture the fluidized bed's inherently transient behavior.

Conclusion

Results include particle distribution and motion patterns throughout the reactor, along with the resulting temperature changes driven by air-particle heat transfer — together illustrating how fluidization influences the reaction kinetics within the bed.

These results offer practical insight into bio-reactor design optimization, informing process efficiency improvements and providing a foundation for scaling fluidized bed bio-reactors up to industrial production levels — directly relevant to bioprocess engineering across biomedical, food, and pharmaceutical manufacturing applications.