Assessing the mixing of two liquids is a critical task in the biotechnical industry. At Cytiva, affinity chromatography columns depend on a well-mixed aqueous salt solution to release the target from the affinity resin. A mixer is often incorporated into the flow path to ensure effective mixing of the liquids.These mixers generate complex three-dimensional flowfields, and existing measurement techniques frequently average the flow depth, thereby losing essential spatial information. This project introduces and implements a novel method for assessing mixing in four dimensions, requiring simultaneous imaging of the flow from multiple view points. The flowfield is reconstructed from the image data using a least squares tomographic reconstruction technique. Additionally, a methodwas developed to reconstruct the same flowfield numerous times using different underlying section meshes. These results are then interpolated on a common grid and averaged. The findings demonstrate that this method accurately resolves the flowfield qualitatively and quantitatively. The averaging method enables lower downsampling factors and higher overall accuracy. However, challenges such as achieving uniform pipe illumination and enhancing data acquisition rates remain. Addressing these issues is essential for fully resolving three-dimensional flowfields over time. Future work will improve lighting and data acquisition to enhance the method’s applicability for higher Reynolds number applications.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-533924 |
| Date | January 2024 |
| Creators | Johan, Rensfeldt |
| Publisher | Uppsala universitet, Signaler och system |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | UPTEC F, 1401-5757 ; 24048 |
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