Home LiteratureArticle Details
PMID: 41863715 Published · ppublish English

Hemodynamic performance and blood damage of the Intra-aortic pumps: A CFD-Based investigation.

Medical & biological engineering & computing ·Vol. 64 ·No. 5 ·2026-05-00

Aycan O, Park Y, Kadem L

Abstract

Three intra-aortic blood pumps were evaluated and compared using CFD simulations. The aim of this study is to evaluate the hemodynamic performance and calculate the hemolytic potential of the pumps. The flow fields generated by the pumps were simulated using CFD with a wall-modeled large eddy simulation (WMLES) approach. The simulations produced pressure-flow curves, hydraulic efficiency, shear stress distributions, and hemolysis predictions. A grid study was conducted using the Grid Convergence Index (GCI) method, and a new dimensionless parameter, the Hemolytic Number (HN), was introduced as a standardized metric to compare hemolysis and universal pump performance. The impeller-driven pump had the highest-pressure head (~ 800 Pa at 4 L/min) and the best hydraulic efficiency (~ 6% at 14 L/min), outperforming both the single (maximum 2.7%) and triplet (maximum 2.2%) pumps. The NIH values were also lowest for the impeller pump (NIH ≈ 0.0035 g/100L), indicating high hemocompatibility. Both the single and triplet pumps showed regions of recirculation, particularly at lower flow rates. A smaller HN indicates better hemocompatibility; for the impeller-driven pump, HN remains below 1 across the investigated flow rates. Overall, the impeller-driven pump outperformed the other designs in terms of both hemodynamic and hemolytic measurements. The findings provide valuable insights for the future development of intra-aortic pumps and the personalized selection of devices for individual patients.

Keywords
Computational Fluid Dynamics Hemolysis Intra-Aortic Blood Pump Performance Curve Pressure Rise
Article Info
Journal
Medical & biological engineering & computing
Abbr.
Med Biol Eng Comput
ISSN
1741-0444
Corresponding email
Published
2026-05-00
Language
English
Country/Region
United States
NLM ID
7704869
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]