Biventricular assist devices

Gregory, Shaun D.; Ng, Boon Chiang; Nadeem, Komal

doi:10.1016/b978-0-12-810491-0.00006-0

Cited by 4 publications

(4 citation statements)

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“…Mechanical circulatory support (MCS) devices are technological innovations that have saved the lives of tens of thousands of diseased people so far (Gregory et al. 2017 ). The aim of these systems is to maintain blood circulation in the body, in other words, they increase blood pressure in order to compensate for flow resistance and achieve a desired flow rate in the cardiovascular system.…”

Section: Introductionmentioning

confidence: 99%

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Flow simulation-based particle swarm optimization for developing improved hemolysis models

Torner

Frank

Grundmann

et al. 2022

Biomech Model Mechanobiol

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The improvement and development of blood-contacting devices, such as mechanical circulatory support systems, is a life saving endeavor. These devices must be designed in such a way that they ensure the highest hemocompatibility. Therefore, in-silico trials (flow simulations) offer a quick and cost-effective way to analyze and optimize the hemocompatibility and performance of medical devices. In that regard, the prediction of blood trauma, such as hemolysis, is the key element to ensure the hemocompatibility of a device. But, despite decades of research related to numerical hemolysis models, their accuracy and reliability leaves much to be desired. This study proposes a novel optimization path, which is capable of improving existing models and aid in the development of future hemolysis models. First, flow simulations of three, turbulent blood flow test cases (capillary tube, FDA nozzle, FDA pump) were performed and hemolysis was numerically predicted by the widely-applied stress-based hemolysis models. Afterward, a multiple-objective particles swarm optimization (MOPSO) was performed to tie the physiological stresses of the simulated flow field to the measured hemolysis using an equivalent of over one million numerically determined hemolysis predictions. The results show that our optimization is capable of improving upon existing hemolysis models. However, it also unveils some deficiencies and limits of hemolysis prediction with stress-based models, which will need to be addressed in order to improve its reliability.

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Section: Introductionmentioning

confidence: 99%

“…In that regard, flow simulations ( in-silico studies) are becoming more and more important, especially in the preclinical evaluation of an MCS device (Gregory et al. 2017 ). Using flow simulations, system designs can be evaluated quickly and cost-effectively regarding their fluid mechanical performance and their blood damage potential.…”

Section: Introductionmentioning

confidence: 99%

Flow simulation-based particle swarm optimization for developing improved hemolysis models

Torner

Frank

Grundmann

et al. 2022

Biomech Model Mechanobiol

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“…filled by blood and compressed electrically or pneumatically [8][9][10][11] . By applying periodic change in chamber space, a pulsatile flow is generated.…”

mentioning

confidence: 99%

“…Bearing system in second generation is mechanical while it is contactless in third generation. It is reported that rotary pumps have higher mechanical durability and smaller size than volume-displacement pumps [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] .…”

mentioning

confidence: 99%

Optimization of a centrifugal blood pump designed using an industrial method through experimental and numerical study

Yazdanpanah-Ardakani,

Niroomand-Oscuii,

Sahebi-Kuzeh Kanan

et al. 2024

Sci Rep

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With improved treatment of coronary artery disease, more patients are surviving until heart failure occurs. This leads to an increase in patients needing devices for struggling with heart failure. Ventricular assist devices are known as the mainstay of these devices. This study aimed to design a centrifugal pump as a ventricular assist device. In order to design the pump, firstly, the geometrical parameters of the pump, including the gap distance, blade height, and position of the outlet relative to the blade, were investigated. Finally, the selected configuration, which had all the appropriate characteristics, both hydraulically and physiologically, was used for the rest of the study. The study of the blade, as the main component in energy transfer to the blood, in a centrifugal pump, has been considered in the present study. In this regard, the point-to-point design method, which is used in industrial applications, was implemented. The designer chooses the relationship between the blade angles at each radius in the point-to-point method. The present study selected logarithmic and second-order relations for designing the blade’s profile. In total, 58 blades were examined in this study, which differed regarding blade inlet and outlet angles and the relationship between angle and radial position. ANSYS CFX 17.0 software was utilized to simulate blades’ performances, and a benchmark pump provided by the US Food and Drug Administration (FDA) was used to validate the numerical simulations. Then, the selected impeller from the numerical investigation was manufactured, and its performance was compared experimentally with the FDA benchmark pump. A hydraulic test rig was also developed for experimental studies. The results showed that among the blades designed in this study, the blade with an input angle of 45° and an output angle of 55°, which is designed to implement a logarithmic relationship, has the best performance. The selected impeller configuration can increase the total head (at least by 20%) at different flow rates compared to the FDA pump.

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