Purpose <p>Heart failure is a widespread cardiac disease affecting numerous patients globally, and traditional treatment options are inadequate to meet demand. Interventional blood pumps, as a treatment modality, are widely needed but face significant challenges in the multiobjective optimization of structural design.</p> Methods <p>In this study, we utilized an orthogonal experimental design, CFD simulations and principal component analysis to establish a comprehensive evaluation model for interventional blood pumps. Through regression analysis, we determined the relationships between comprehensive indicators and impeller design variables, enabling optimization of the impeller design. The accuracy of the optimization results was validated through in vitro experiments.</p> Results <p>Numerical simulations confirmed the effectiveness of the comprehensive evaluation and optimization methods and resulted in the identification of the optimal impeller design. The design emphasized a larger proximal fillet radius and a smaller blood outlet axial length. By comparing simulations with experimental data, we demonstrated that simulations accurately obtained hydraulic performance (flow rate, pressure difference) and efficiency, with an error margin below 5%.</p> Conclusion <p>The multiobjective comprehensive evaluation and optimization methods proposed in this study can effectively enhance the overall performance of interventional blood pumps.</p>

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Multiobjective Comprehensive Evaluation and Optimization of Interventional Blood Pump Impeller

  • Xiaoming Cheng,
  • Minggang She,
  • Shengzhang Wang

摘要

Purpose

Heart failure is a widespread cardiac disease affecting numerous patients globally, and traditional treatment options are inadequate to meet demand. Interventional blood pumps, as a treatment modality, are widely needed but face significant challenges in the multiobjective optimization of structural design.

Methods

In this study, we utilized an orthogonal experimental design, CFD simulations and principal component analysis to establish a comprehensive evaluation model for interventional blood pumps. Through regression analysis, we determined the relationships between comprehensive indicators and impeller design variables, enabling optimization of the impeller design. The accuracy of the optimization results was validated through in vitro experiments.

Results

Numerical simulations confirmed the effectiveness of the comprehensive evaluation and optimization methods and resulted in the identification of the optimal impeller design. The design emphasized a larger proximal fillet radius and a smaller blood outlet axial length. By comparing simulations with experimental data, we demonstrated that simulations accurately obtained hydraulic performance (flow rate, pressure difference) and efficiency, with an error margin below 5%.

Conclusion

The multiobjective comprehensive evaluation and optimization methods proposed in this study can effectively enhance the overall performance of interventional blood pumps.