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https://hdl.handle.net/20.500.13091/2900
Title: | Fuzzy-based modeling and speed optimization of a centrifugal blood pump using a modified and constrained Bees algorithm | Authors: | İncebay, Ömer Önder, Ahmet Arif, Şen, Muhammed Yapıcı, Rafet Kalyoncu, Mete |
Keywords: | Bees algorithm Blood pump Fuzzy logic Modeling Optimization Blood Computational fluid dynamics Computer circuits Constrained optimization Efficiency Flow of fluids Patient treatment Pumps Shear stress Speed Bee Algorithm Blood pump Centrifugal blood pump Fuzzy-Logic Modeling Optimisations Pump speed Speed optimization Wall shear stress Wall-shear stress Fuzzy logic Article blood pressure controlled study flow rate fluid flow fuzzy logic hydrodynamics learning algorithm process optimization processing speed productivity shear rate shear stress algorithm computer simulation equipment design heart assist device human mechanical stress prosthesis design Algorithms Computer Simulation Equipment Design Heart-Assist Devices Humans Prosthesis Design Stress, Mechanical |
Issue Date: | 2022 | Publisher: | Elsevier Ireland Ltd | Abstract: | Background and objective: Side effects that may occur when using blood pumps for treatment of patients are the main limitations on pump rotational speed determination. Efforts are being made to reduce side effects in both design and usage procedures. In determining the pump speed for treatment, decreasing the pressure on the main artery and preserving the valve functions are taken into consideration. In addition to these, the parameters considered for design which include pump efficiency and mechanical effects on blood cells, should also be taken into consideration. In this study, the aim is to obtain the optimum pump speed for the maximum hydraulic efficiency and minimum wall shear stresses that occur inside the pump. Methods: Blood pump modeling based on fuzzy logic is created on the hydraulic performance data of a centrifugal blood pump, whose design, CFD analysis, manufacture and experimental testing have been performed previously. Using this fuzzy logic model, the optimum pump speeds were determined using the Bees Algorithm, an intuitive optimization algorithm, in the operating range 1-7 L/min fluid flow rate. In the optimization process, the aim is to achieve minimum shear stress with maximal efficiency. Intravascular pressure limits (90-160 mm-Hg) were set as pressure constraints. Results: The optimum operating point is obtained as a 3350 rpm pump speed and a 4.35 L/min flow rate. At this operating point, CFD simulation is performed, and maximum wall shear stress was found to be 1458 Pa and its efficiency as 34.2%. Conclusions: In addition to the parameters commonly used in the pump speed optimization of blood pumps, the use of wall shear stresses and pump efficiency can provide certain improvements. © 2022 | URI: | https://doi.org/10.1016/j.cmpb.2022.106867 https://hdl.handle.net/20.500.13091/2900 |
ISSN: | 0169-2607 |
Appears in Collections: | Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collections Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections Teknik Bilimler Meslek Yüksekokulu Koleskiyonu WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections |
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