Abstract
This paper reports on the derivation and implementation of a shape optimization procedure for the minimization of hemolysis induction in blood flows through biomedical devices.Despite the significant progress in relevant experimental studies, the ever-growing advances in computational science have made computational fluid dynamics an indispensable tool for the design of biomedical devices. However, even the latter can lead to a restrictive cost when the model requires an extensive number of computational elements or when the simulation needs to be overly repeated. This work aims at the formulation of a continuous adjoint complement to a power-law hemolysis prediction model dedicated to efficiently identifying the shape sensitivity to hemolysis. The proposed approach can accompany any gradient-based optimization method at the cost of approximately one additional flow solution per shape update. The approach is verified against analytical solutions of a benchmark problem and computed sensitivity derivatives are validated by a finite differences study on a generic 2D stenosed geometry. The included application addresses a 3D ducted geometry which features typical characteristics of blood-carrying devices. An optimized shape, leading to a potential improvement up to 22%, is identified. It is shown that the improvement persists for different hemolysis-evaluation parameters.
Highlights
The ever-growing advances in medicine, engineering and material science have led to the development of biomedical devices, such as blood pumps, which allow longterm patient care and significantly improve quality of life
This paper reports on the derivation and implementation of a shape optimization procedure for the minimization of hemolysis induction in blood flows through biomedical devices.Despite the significant progress in relevant experimental studies, the ever-growing advances in computational science have made computational fluid dynamics an indispensable tool for the design of biomedical devices
This work aims at the formulation of a continuous adjoint complement to a power-law hemolysis prediction model dedicated to efficiently identifying the shape sensitivity to hemolysis
Summary
The ever-growing advances in medicine, engineering and material science have led to the development of biomedical devices, such as blood pumps, which allow longterm patient care and significantly improve quality of life. A critical task for the design and development of such devices (Thamsen et al, 2015; Yu et al, 2016) is still the minimization of shear-induced blood damage (i.e. hemolysis) to guarantee good biocompatibility. The shape of the respective artificial devices or vessels is believed to play a crucial part in the induction of blood damage due to its decisive fluid dynamic role. The ever-growing advances in computational science have made computational fluid dynamics (CFD) simulations an indispensable tool for the study of real case applications (Ghalandari et al, 2019; Salih et al, 2019). This work targets the development of a computationally efficient shape optimization framework so that to viably assist the design of next-generation biomedical machinery
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Engineering Applications of Computational Fluid Mechanics
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
