|arXiv ID:||2101.10715v1||Title:||Adjoint-based shape optimization for the minimization of flow-induced hemolysis in biomedical applications||Language:||English||Authors:||Bletsos, Georgios
|Keywords:||Physics - Fluid Dynamics;Physics - Fluid Dynamics||Issue Date:||26-Jan-2021||Abstract (english):||
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.
|URI:||http://hdl.handle.net/11420/9241||Institute:||Fluiddynamik und Schiffstheorie M-8||Document Type:||Preprint||Funded by:||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.||Project:||Simulationsbasierte Entwurfsoptimierung dynamischer Systeme unter Unsicherheiten|
|Appears in Collections:||Publications without fulltext|
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