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In-Silico Scale-Up: Reduce Your Experimental Effort with Reactor Simulation

Presented at: Bioprocessing 2022
C.E. Credits: P.A.C.E. CE Florida CE
Speaker
  • Head of the Computational Bioprocess Engineering Group at the Institute for Process and Particle Engineering, Graz University of Technology
    BIOGRAPHY

Abstract

The design, optimization and troubleshooting of industrial bioprocesses are still largely based on empirical knowledge. Thus, the goal and motivation is to base these processes on a comprehensive view of the physical and chemical processes within the reactor. By applying the latest numerical algorithms and graphical processing units (graphics cards), the inner workings of the bioreactor can be studied in detail for the first time. This lays the foundation for new apparatus designs as well as for optimization of operating parameters and process characterization on the computer. Using the example of aerated stirred bioreactors, I will show how this new simulation tool integrates and accelerates your workflow from lab to market. 

Learning Objectives:

1. Explain the benefit of having a scale-up method based on first physical principles.

2. Define the usage of new CFD tools for accelerating the path from the lab to the market.

3. Identify areas where simulation can help.


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