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https://hdl.handle.net/20.500.13091/2900
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | İncebay, Ömer | - |
dc.contributor.author | Önder, Ahmet | - |
dc.contributor.author | Arif, Şen, Muhammed | - |
dc.contributor.author | Yapıcı, Rafet | - |
dc.contributor.author | Kalyoncu, Mete | - |
dc.date.accessioned | 2022-10-08T20:48:05Z | - |
dc.date.available | 2022-10-08T20:48:05Z | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 0169-2607 | - |
dc.identifier.uri | https://doi.org/10.1016/j.cmpb.2022.106867 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.13091/2900 | - |
dc.description.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 | en_US |
dc.description.sponsorship | Submission Declaration: This is original research that has not been published previously nor is it being considered elsewhere, Funding Declaration: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Ireland Ltd | en_US |
dc.relation.ispartof | Computer Methods and Programs in Biomedicine | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Bees algorithm | en_US |
dc.subject | Blood pump | en_US |
dc.subject | Fuzzy logic | en_US |
dc.subject | Modeling | en_US |
dc.subject | Optimization | en_US |
dc.subject | Blood | en_US |
dc.subject | Computational fluid dynamics | en_US |
dc.subject | Computer circuits | en_US |
dc.subject | Constrained optimization | en_US |
dc.subject | Efficiency | en_US |
dc.subject | Flow of fluids | en_US |
dc.subject | Patient treatment | en_US |
dc.subject | Pumps | en_US |
dc.subject | Shear stress | en_US |
dc.subject | Speed | en_US |
dc.subject | Bee Algorithm | en_US |
dc.subject | Blood pump | en_US |
dc.subject | Centrifugal blood pump | en_US |
dc.subject | Fuzzy-Logic | en_US |
dc.subject | Modeling | en_US |
dc.subject | Optimisations | en_US |
dc.subject | Pump speed | en_US |
dc.subject | Speed optimization | en_US |
dc.subject | Wall shear stress | en_US |
dc.subject | Wall-shear stress | en_US |
dc.subject | Fuzzy logic | en_US |
dc.subject | Article | en_US |
dc.subject | blood pressure | en_US |
dc.subject | controlled study | en_US |
dc.subject | flow rate | en_US |
dc.subject | fluid flow | en_US |
dc.subject | fuzzy logic | en_US |
dc.subject | hydrodynamics | en_US |
dc.subject | learning algorithm | en_US |
dc.subject | process optimization | en_US |
dc.subject | processing speed | en_US |
dc.subject | productivity | en_US |
dc.subject | shear rate | en_US |
dc.subject | shear stress | en_US |
dc.subject | algorithm | en_US |
dc.subject | computer simulation | en_US |
dc.subject | equipment design | en_US |
dc.subject | heart assist device | en_US |
dc.subject | human | en_US |
dc.subject | mechanical stress | en_US |
dc.subject | prosthesis design | en_US |
dc.subject | Algorithms | en_US |
dc.subject | Computer Simulation | en_US |
dc.subject | Equipment Design | en_US |
dc.subject | Heart-Assist Devices | en_US |
dc.subject | Humans | en_US |
dc.subject | Prosthesis Design | en_US |
dc.subject | Stress, Mechanical | en_US |
dc.title | Fuzzy-based modeling and speed optimization of a centrifugal blood pump using a modified and constrained Bees algorithm | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1016/j.cmpb.2022.106867 | - |
dc.identifier.pmid | 35597207 | en_US |
dc.identifier.scopus | 2-s2.0-85130961070 | en_US |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Makine Mühendisliği Bölümü | en_US |
dc.department | Meslek Yüksekokulları, Teknik Bilimler Meslek Yüksekokulu, Makine ve Metal Teknolojileri Bölümü | en_US |
dc.identifier.volume | 221 | en_US |
dc.identifier.wos | WOS:000856847800006 | en_US |
dc.institutionauthor | İncebay, Ömer | - |
dc.institutionauthor | Önder, Ahmet | - |
dc.institutionauthor | Arif, Şen, Muhammed | - |
dc.institutionauthor | Yapıcı, Rafet | - |
dc.institutionauthor | Kalyoncu, Mete | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.authorscopusid | 57224570636 | - |
dc.authorscopusid | 57222167697 | - |
dc.authorscopusid | 57189386731 | - |
dc.authorscopusid | 16044036400 | - |
dc.authorscopusid | 55970457800 | - |
dc.identifier.scopusquality | Q1 | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | embargo_20300101 | - |
item.languageiso639-1 | en | - |
item.openairetype | Article | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | 02.10. Department of Mechanical Engineering | - |
crisitem.author.dept | 07. 16. Department of Machinery and Metal Technologies | - |
crisitem.author.dept | 02.10. Department of Mechanical Engineering | - |
crisitem.author.dept | 02.10. Department of Mechanical Engineering | - |
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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