基于数值方法预测导管泵血栓
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家自然科学基金项目(51677082,51477068)


Thrombosis Prediction of a Catheter Pump Based on Simulation Method
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    目的 应用计算流体力学(computational fluid dynamic, CFD)技术,针对一款自行设计的导管泵进行数值研究,预测其水力性能和血栓形成风险。方法 选用Grigioni与Danny Bluestein分别提出的血栓预测模型,并结合CFD技术计算血小板运动过程受到的剪切力与曝光时间,从而获得血小板活性状态(platelet activation state, PAS),实现对导管泵血栓的预测。结果 流量为4 L/min、转速为10 000 r/min时,导管泵扬程为14.763 kPa,可满足左心室辅助的要求;Grigioni与Danny Bluestein预测模型下的PAS分别为6.35×10-6和7.68×10-4,数值较小,血栓形成性较低。结论 探索基于数值方法 的血栓预测的可行性,并预测导管泵的水力性能和血栓形成可能性,为后续的设计优化提供依据。

    Abstract:

    Objective To investigate a self-designed catheter pump by using computational fluid dynamics (CFD) method, so as to predict its hydraulic performance and risk of thrombosis formation. Methods The thrombosis prediction models proposed by Grigioni and Danny Bluestein were used. The shear stress and exposure time during platelet motion were calculated by CFD method, and parameters of platelet activation state (PAS) were obtained for prediction of thrombogenic performance. Results At the flow rate of 4 L/min and rotating speed of 10 000 r/min, the differential pressure of the pump reached 14.763 kPa and the hydraulic performance was proved to fit the requirement of left ventricular assist device. The PAS values of Grigioni model and Danny Bluestein model were 6.35×10-6 and 7.68×10-4,respectively, both at a very low level, indicating a low possibility of thrombus formation. Conclusions This study investigated the feasibility of thrombosis prediction based on simulation method and the predicted hydraulic performance and thrombosis will provide references for further design optimization.

    参考文献
    相似文献
    引证文献
引用本文

王芳群,吴怡,吉敬华,贺万堑,吴义荣.基于数值方法预测导管泵血栓[J].医用生物力学,2019,34(3):283-288

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2018-03-05
  • 最后修改日期:2018-07-28
  • 录用日期:
  • 在线发布日期: 2019-06-25
  • 出版日期:
文章二维码
关闭