Zhussupbekov Mansur, Wu JingChun, Burgreen Greg W, Stelick Scott, Kim Jeongho, Antaki James F
Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Advanced Design Optimization, LLC, Irvine, CA, USA.
ArXiv. 2025 Jul 15:arXiv:2507.12491v1.
Computational fluid dynamics (CFD) has become an essential design tool for ventricular assist devices (VADs), where the goal of maximizing performance often conflicts with biocompatibility. This tradeoff becomes even more pronounced in pediatric applications due to the stringent size constraints imposed by the smaller patient population. This study presents an automated CFD-driven shape optimization of a new intermediate diffuser stage for the PediaFlow pediatric VAD, positioned immediately downstream of the impeller to improve pressure recovery.
We adopted a multi-objective optimization approach to maximize pressure recovery while minimizing hemolysis. The proposed diffuser stage was isolated from the rest of the flow domain, enabling efficient evaluation of over 450 design variants using Sobol sequence, which yielded a Pareto front of non-dominated solutions. The selected best candidate was further refined using local T-search algorithm. We then incorporated the optimized front diffuser into the full pump for CFD verification and in vitro validation.
We identified critical dependencies where longer blades increased pressure recovery but also hemolysis, while the wrap angle showed a strong parabolic relationship with pressure recovery but a monotonic relationship with hemolysis. Counterintuitively, configurations with fewer blades (2-3) consistently outperformed those with more blades (4-5) in both metrics. The optimized two-blade design enabled operation at lower pump speeds (14,000 vs 16,000 RPM), improving hydraulic efficiency from 26.3% to 32.5% and reducing hemolysis by 31%.
This approach demonstrates that multi-objective CFD optimization can systematically explore complex design spaces while balancing competing priorities of performance and hemocompatibility for pediatric VADs.
计算流体动力学(CFD)已成为心室辅助装置(VAD)的重要设计工具,在VAD中,性能最大化的目标往往与生物相容性相冲突。由于小儿患者群体的尺寸限制更为严格,这种权衡在儿科应用中更为明显。本研究提出了一种基于CFD的自动化形状优化方法,用于优化PediaFlow儿科VAD的新型中间扩散器阶段,该扩散器位于叶轮下游,以提高压力恢复。
我们采用多目标优化方法,在使溶血最小化的同时最大化压力恢复。将提出的扩散器阶段与流动域的其余部分隔离开来,使用索博尔序列能够高效评估超过450种设计变体,从而产生一个非支配解的帕累托前沿。使用局部T搜索算法对选定的最佳候选方案进行进一步优化。然后,我们将优化后的前扩散器纳入整个泵中,进行CFD验证和体外验证。
我们确定了关键的相关性,即较长的叶片增加了压力恢复,但也增加了溶血,而包角与压力恢复呈强烈的抛物线关系,但与溶血呈单调关系。与直觉相反,在这两个指标上,叶片较少(2 - 3个)的配置始终优于叶片较多(4 - 5个)的配置。优化后的双叶片设计能够在较低的泵速下运行(14,000转/分钟对16,000转/分钟),将水力效率从26.3%提高到32.5%,并将溶血降低31%。
该方法表明,多目标CFD优化可以系统地探索复杂的设计空间,同时平衡儿科VAD性能和血液相容性的相互竞争的优先级。