HIL-Lung - Hardware-in-the-Loop simulation environment for artificial lungs

用于人工肺的半肺半实物仿真环境本项目旨在模拟新型可植入肺装置与循环之间的相互作用，旨在为此类新型装置建立物理测试环境。在总结前人经验的基础上，提出了采用面向对象的建模方法，特别适合于实时模拟气体交换动力学和循环水力特性。应设置物理演示器，为任何被测设备(DUT)提供物理连接器。该硬件在环(HIL)测试台将提供适当的液压接口(类似的压力、脉动灌流等)。因此，只要物理连接合适，将允许对任何新开发的人工肺进行自动表征，无论是生物的、技术的还是自然界中的混合人工肺。除了水，血液的用途是为了有一个真实的环境，并允许研究气体交换和血液相容性问题。如果操作正确，接受测试的植入物不会注意到HIL环境与活的有机体有任何不同。除了使用模拟的流量和压力分布外，HIL试验台还允许重复使用早期动物试验中获得的测量数据。由于这可以在不需要额外的动物试验的情况下重复进行，这种HIL试验台很可能会减少必要的动物试验的总数。最后，HIL测试台还允许在早期阶段调查有关安全、健壮性、自动化和控制以及监控的问题。

HiL-Lung - Hardware-in-the-Loop simulation environment for artificial lungsThis project aims at modelling the interaction between new implantable lung devices and the circulation and aims to establish a physical test environment for such new devices. Based on previous experiences in the field, we propose to use object-oriented modelling which seems is especially suitable to model the dynamics of gas exchange and the hydraulic properties of the circulation in real time. A physical demonstrator shall be set up offering physical connectors to any device under test (dut). This hardware-in-the-loop (HIL) test stand will provide a proper hydraulic interface (similar pressures, pulsatile perfusion, etc.) and will hence allow an automatic characterization of any newly developed artificial lung, either biological, technical or hybrid in nature, provided that the physical connections fit. Next to water, blood is intended to be used in order to have a realistic environment and to allow investigation of gas exchange and hemocompatibility issues. If done right, the implant under test will not notice that the HIL environment is any different from a living organism. Next to using simulated flow and pressure profiles, the HIL test stand also allows to repetitively use measured data obtained in earlier animal trials. As this can be done repetitively without the need for additional animal trials, this HIL test stand will most likely reduce the total number of necessary animal trials. Finally, the HIL test stand also allows to investigate questions regarding safety, robustness, automation and control as well as monitoring in an early stage.