h1

TY  - THES
AU  - Dinter, Carl
TI  - Generating in-depth process knowledge by Computational Fluid Dynamics and a novel online monitoring technique for shake flasks
PB  - RWTH Aachen University
VL  - Dissertation
CY  - Aachen
M1  - RWTH-2025-10655
SP  - 1 Online-Ressource : Illustrationen
PY  - 2025
N1  - Veröffentlicht auf dem Publikationsserver der RWTH Aachen University 2026
N1  - Dissertation, RWTH Aachen University, 2025
AB  - Computational Fluid Dynamics (CFD) has become a pivotal tool in the design and scale-up of bioprocesses by providing deep process insights. It has been extensively researched and used in stirred tank reactors. Research for shaken vessels, like shake flasks, especially at elevated viscosity, is, however, very limited. In this work, a CFD model for 250 mL shake flasks has been established, simulating a variety of shaking conditions, including viscosity of up to 100 mPa∙s. CFD model results were then used to calculate volumetric power input, volumetric gas-liquid mass transfer rate (kLa) and shear rates. Simulated fluid flow agrees well with experimentally recorded liquid distributions. Calculated volumetric power inputs deviate on average by 0.18 kW/m3 from experimentally determined volumetric power inputs. kLa values, spanning almost three orders of magnitude, deviated by less than a factor of two from published data for kLa values in shake flasks. Shear rates were calculated in two ways, where the first showed unsatisfactory results. The second approach, which is based on the largest eigenvalue of the strain rate tensor, was on average 16 
LB  - PUB:(DE-HGF)11
DO  - DOI:10.18154/RWTH-2025-10655
UR  - https://publications.rwth-aachen.de/record/1023671
ER  -