TY - JOUR
T1 - Validated guidelines for simulating centrifugal blood pumps
AU - Semenzin, Clayton S.
AU - Simpson, Benjamin
AU - Gregory, Shaun D.
AU - Tansley, Geoff
N1 - Funding Information:
The authors would like to acknowledge the financial support provided by the Australian Postgraduate Awards and The Prince Charles Hospital Foundation (NI2017-15). We acknowledge the support of the Griffith University eResearch Services Team and the use of the High Performance Computing Cluster "Gowonda" to complete this research . Shaun D Gregory was supported by a Fellowship (102062) from the National Heart Foundation of Australia.
Funding Information:
Clayton Semenzin received a grant provided by The Prince Charles Hospital Foundation (NI2017-15). Shaun D Gregory was supported by a Fellowship (102062) from the National Heart Foundation of Australia.
Publisher Copyright:
© 2021, Biomedical Engineering Society.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/6
Y1 - 2021/6
N2 - Purpose: Rotary blood pumps (RBPs) employed as ventricular assist devices are developed to support the ventricles of patients suffering from heart failure. Computational Fluid Dynamics (CFD) is frequently used to predict the performance and haemocompatibility of these pumps during development, however different simulation techniques employed by various research groups result in inconsistent predictions. This inconsistency is further compounded by the lack of standardised model validation, thus it is difficult to determine which simulation techniques are accurate. To address these problems, the US Food and Drug Administration (FDA) proposed a simplified centrifugal RBP benchmark model. The aim of this paper was to determine simulation settings capable of producing accurate predictions using the published FDA results for validation. Methods: This paper considers several studies to investigate the impact of simulation options on the prediction of pressure and flow velocities. These included evaluation of the mesh density and interface position through steady simulations as well as time step size and turbulence models (k-ε realizable, k-ω SST, k-ω SST Intermittency, RSM ω-based, SAS and SBES) using a sliding mesh approach. Results: The most accurate steady simulation using the k-ω turbulence model predicted the pressure to within 5% of experimental results, however experienced issues with unphysical velocity fields. A more computationally expensive transient simulation that used the Stress-Blended Eddy Simulation (SBES) turbulence model provided a more accurate prediction of the velocity field and pressure rise to within experimental variation. Conclusion: The findings of the study strongly suggest that SBES can be used to better predict RBP performance in the early development phase.
AB - Purpose: Rotary blood pumps (RBPs) employed as ventricular assist devices are developed to support the ventricles of patients suffering from heart failure. Computational Fluid Dynamics (CFD) is frequently used to predict the performance and haemocompatibility of these pumps during development, however different simulation techniques employed by various research groups result in inconsistent predictions. This inconsistency is further compounded by the lack of standardised model validation, thus it is difficult to determine which simulation techniques are accurate. To address these problems, the US Food and Drug Administration (FDA) proposed a simplified centrifugal RBP benchmark model. The aim of this paper was to determine simulation settings capable of producing accurate predictions using the published FDA results for validation. Methods: This paper considers several studies to investigate the impact of simulation options on the prediction of pressure and flow velocities. These included evaluation of the mesh density and interface position through steady simulations as well as time step size and turbulence models (k-ε realizable, k-ω SST, k-ω SST Intermittency, RSM ω-based, SAS and SBES) using a sliding mesh approach. Results: The most accurate steady simulation using the k-ω turbulence model predicted the pressure to within 5% of experimental results, however experienced issues with unphysical velocity fields. A more computationally expensive transient simulation that used the Stress-Blended Eddy Simulation (SBES) turbulence model provided a more accurate prediction of the velocity field and pressure rise to within experimental variation. Conclusion: The findings of the study strongly suggest that SBES can be used to better predict RBP performance in the early development phase.
KW - Computational fluid dynamics
KW - Hydraulic performance
KW - Mechanical circulatory support
KW - Numericalmodelling
KW - Simulation
KW - Validation
KW - Ventricular assist devices
UR - http://www.scopus.com/inward/record.url?scp=85103255237&partnerID=8YFLogxK
U2 - 10.1007/s13239-021-00531-0
DO - 10.1007/s13239-021-00531-0
M3 - Article
C2 - 33768446
AN - SCOPUS:85103255237
SN - 1869-408X
VL - 12
SP - 273
EP - 285
JO - Cardiovascular Engineering and Technology
JF - Cardiovascular Engineering and Technology
IS - 3
ER -