• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2017, Vol. 53 ›› Issue (6): 187-194.doi: 10.3901/JME.2017.06.187

• 交叉与前沿 • 上一篇    下一篇


冯海全1, 仇洪然1, 刘佳1, 王永刚2   

  1. 1. 内蒙古工业大学机械学院 呼和浩特 010051;
    2. 苏州爱瑞德医疗科技有限公司 苏州 215128
  • 出版日期:2017-03-20 发布日期:2017-03-20
  • 作者简介:冯海全(通信作者),男,1972年出生,博士,教授,硕士研究生导师。主要研究方向为精密机械设计理论及应用。E-mail:fhq515@163.com
  • 基金资助:
    * 国家自然科学基金(51565045)和苏州市吴中区创新创业领军人才专项(WC201202)资助项目; 20160308收到初稿,20160920收到修改稿;

Research on Biomechanics Properties and Hemodynamics Performance of the Perpetual Vena Cava Filter

FENG Haiquan1, QIU Hongran1, LIU Jia1, WANG Yonggang2   

  1. 1. College of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051;
    2 .Treatment Technology Co., Ltd of Idemedtek, Suzhou 215128
  • Online:2017-03-20 Published:2017-03-20


为了减少血管壁的损伤和滤器断裂的可能性,利用有限元法与计算流体动力学的方法,分析永久性腔静脉滤器在植入过程中与血管的相互作用机理及对血流的影响。应用Solid Works软件建立3种相同过滤杆数不同支撑单元连接体结构及3种相同支撑单元连接体结构不同过滤杆数的滤器;应用ABAQUS软件模拟分析6种滤器在工作状态下血管与滤器表面上的应力分布以及径向支撑刚度;应用FLUENT软件模拟分析6种滤器在血管内工作时的血流压力分布,流速分布,切应力分布。 结果表明,永久性滤器支撑单元数量对出口速度、滤器植入后前后压差、过滤网上的切应力峰值影响较显著;支撑单元连接体结构,对滤器工作时应力峰值、血管壁应力峰值、支撑刚度及壁面切应力影响显著;永久滤器具有较好的血流动力学效果和较好的综合力学性能,潜在地降低滤器植入后对血管壁的损伤及本身破裂的可能性,腔静脉滤器的模拟分析为滤器的设计和临床选择提供良好的参考依据。

关键词: 计算流体动力学, 生物力学性能, 有限元法, 腔静脉滤器


Gear transmission system is one of most important key equipment to guarantee safe and stable operation in locomotive. With time variation, unpredictability and dynamic linkage, the problem of fault feature acquisition still be misdiagnosis by traditional fault diagnosis method. Sparse blind source separation is a kind of soft computing method based on orthogonal basis mapping to effectively separate multiple nonlinear signals under signals transmission channel unknown. However, gear fault data in actual working status are weak and uncertainty, thus causing source signal characteristics cannot accurate diagnosis fault after sparse separation. Therefore, a method of adaptive time-varying blind separation based on variable metric empirical mode decomposition (VMEMD) is presented, which is using sparseness and iterative screening to separate fault source and obtain optimal intrinsic mode function by adjusting time span. Redundancy factors are deleted and fault recognition rate is improved. The analysis through simulation experiments shows that fault feature can be obtained quickly and correctly on low signal to noise ratio which provides key technology for state detection and fault diagnosis of railway transportation.

Key words: biomechanics properties, computational fluid dynamics, finite element method, vena cava filter