Turbulence Modeling Technique has Significant Effects on the Optimization of Centrifugal Blood Pumps
Blood pumps need to be further optimized to reduce blood damage and associated clinical complications. Turbulence is the key factor affecting blood damage. Turbulence models, have been widely employed in the design, optimization and evaluation of blood pumps. Advanced turbulence models such as large...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10993399/ |
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| Summary: | Blood pumps need to be further optimized to reduce blood damage and associated clinical complications. Turbulence is the key factor affecting blood damage. Turbulence models, have been widely employed in the design, optimization and evaluation of blood pumps. Advanced turbulence models such as large-eddy simulation (LES) has shown its advantage in predicting pump performance and resolving turbulence in blood pumps, compared with conventional Reynolds-Averaged Navier-Stokes (RANS) method. Optimization of blood pumps requires an effective comparison of pump performance between multiple designs at reasonable cost. This study aims at exploring the impacts and cost-effectiveness of different turbulence modeling technique in assisting optimization of blood pumps. 25 pump models based on a centrifugal maglev blood pump were designed considering 6 design variables. The steady RANS, unsteady RANS(URANS) and LES were employed to assist the optimization, combined with orthogonal experiments and experimental validation. Turbulence simulation method significantly affects the predicted variation of pressure head among pump models. RANS failed to capture the variation of pressure head, while LES were closest to experiments. Tip clearance was the most influential factor, followed by splitter blade inlet angle. Pump efficiency was improved by 10.76%, 5.55% and 3.21%, for the LES, URANS and RANS respectively. The computational cost of LES is comparable with the URANS, and one order higher than RANS. Thus, when pump performance is the priority, LES should be employed to maximized the gain of optimization, while RANS is a viable option when a tradeoff between cost and gain is expected. |
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| ISSN: | 2169-3536 |