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  4. Adjoint-based shape optimization for the minimization of flow-induced hemolysis in biomedical applications
 
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Adjoint-based shape optimization for the minimization of flow-induced hemolysis in biomedical applications

Citation Link: https://doi.org/10.15480/882.3659
Publikationstyp
Journal Article
Date Issued
2021-07-02
Sprache
English
Author(s)
Bletsos, Georgios  
Kühl, Niklas  orcid-logo
Rung, Thomas  orcid-logo
Institut
Fluiddynamik und Schiffstheorie M-8  
TORE-DOI
10.15480/882.3659
TORE-URI
http://hdl.handle.net/11420/9241
Journal
Engineering applications of computational fluid mechanics  
Volume
15
Issue
1
Start Page
1095
End Page
1095
Citation
Engineering applications of computational fluid mechanics 15 (1): 1095-1112 (2021)
Publisher DOI
10.1080/19942060.2021.1943532
Scopus ID
2-s2.0-85109170304
ArXiv ID
2101.10715v1
Publisher
CSE Dept., the H.K. PolyU
This paper reports on the derivation and implementation of a shape optimization procedure for the minimization of hemolysis induction in biomedical devices. Hemolysis is a blood damaging phenomenon that may occur in mechanical blood-processing applications where large velocity gradients are found. An increased level of damaged blood can lead to deterioration of the immune system and quality of life. It is, thus, important to minimize flow-induced hemolysis by improving the design of next-generation biomedical machinery. Emphasis is given to the formulation of a continuous adjoint complement to a power-law hemolysis prediction model dedicated to efficiently identifying the shape sensitivity to hemolysis. The computational approach is verified against the analytical solutions of a benchmark problem and computed sensitivity derivatives are validated by a finite differences study on a generic 2D stenosed geometry. The application included addresses a 3D ducted geometry which features typical characteristics of biomedical devices. An optimized shape, leading to a potential improvement in hemolysis induction up to 22%, is identified. It is shown, that the improvement persists for different, literature-reported hemolysis-evaluation parameters.
Subjects
Computational fluid dynamics(CFD)
adjoint-based shape optimization
biomedical design
hemolysis minimization
DDC Class
530: Physik
Funding(s)
Simulationsbasierte Entwurfsoptimierung dynamischer Systeme unter Unsicherheiten  
Publikationsfonds 2021  
Funding Organisations
Freie und Hansestadt Hamburg
More Funding Information
The current work is a part of the research training group “Simulation-Based Design Optimization of Dynamic Systems Under Uncertainties” (SENSUS) funded by the state of Hamburg under the aegis of the Landesforschungsförderungs-Project LFF-GK11. Selected computations were performed with resources provided by the North-German Supercomputing Alliance (HLRN). This support is gratefully acknowledged by the authors.
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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