Design, construction and evaluation of lagrangian sensor particles for the flow behavior determination in a 200 l and 15000 l bioreactor

Publikationstyp
Master Thesis
Date Issued
2023-06-30
Sprache
English
Author(s)
Gopalsingh, Paramveer Singh  
Referee
Hofmann, Sebastian  orcid-logo
Schlüter, Michael  orcid-logo
Trieu, Hoc Khiem  
Supervisor
Hofmann, Sebastian  orcid-logo
Title Granting Institution
Technische Universität Hamburg
Place of Title Granting Institution
Hamburg
Examination Date
2023-08-09
Institute
Mehrphasenströmungen V-5  
TORE-DOI
10.15480/882.8578
TORE-URI
https://hdl.handle.net/11420/43332
Citation
Technische Universität Hamburg (2023)
Stirred Tank Reactors (STRs) are frequently employed in the bioprocessing industry to produce bioproducts employing bacterial, yeast, or mammalian cell lines. The productivity of these reactors may be impacted when they grow in size due to the presence of heterogeneous zones. Using the Lagrangian measurement approach with free-flowing sensors is one way to look at these heterogeneities. In this thesis, two Lagrangian Sensor Particles (LSPs) that can be made using off-the-shelf components and a shell that can be produced by computer numerical control (CNC) machining are designed and built to circumvent this problem and study the heterogeneities in STRs. One type of LSP was built around an Inertial Measurement Unit (IMU), and the second was built around a pressure sensor. They are built to have a density between 1000 and 1005 kg m^-3. These LSPs are then tested in a 200 L and 15000 L reactor. Particle Tracking Velocimetry (PTV) is performed on the LSP in the 200 L reactor. The distribution of acceleration, velocity, and axial position is then determined using the LSPs. The data obtained via Particle Tracking Velocimetry (PTV) is then compared with the data obtained from the LSPs. A steady increase in axial velocity is seen with increasing impeller speeds, according to data from pressure and IMU sensors. Thus, a modular Lagrangian Sensor Particle (LSP) is developed, which can help investigate heterogeneities in STRs by making the LSP platform widely accessible, providing consistent results for all types of sensors. Enhancing the sensor module, the microcontroller, and the data processing method can further expand these findings.
Subjects
Lagrangian sensor particles
Particle tracking velocimetry
Inertial measurement unit
Pressure sensor
Image processing
DDC Class
660.6: Biotechnology
621.3: Electrical Engineering, Electronic Engineering
543: Analytic
Publication version
acceptedVersion
Lizenz
https://creativecommons.org/licenses/by-nc-sa/4.0/
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