Virtual prototyping of pressure driven microfluidic systems with SystemC-AMS extensions

被引:0
|
作者
Fernandez, Victor [1 ]
Mena, Andres [2 ]
Ben Aoun, Cedric [3 ]
Pecheux, Francois [3 ]
Fernandez, Luis J. [4 ,5 ,6 ]
机构
[1] Univ Cantabria, E-39005 Santander, Spain
[2] AlphaSIP SL, Madrid, Spain
[3] UPMC, LIP6, Paris, France
[4] Ctr Invest Biomed Red Bioingn Biomat & Nanomed CI, Grp Struct Mech & Mat Modelling GEMM, Zaragoza, Spain
[5] Univ Zaragoza, Aragon Inst Engn Res I3A, Zaragoza, Spain
[6] Inst Salud Carlos III, Aragon Inst Biomed Res, Zaragoza, Spain
关键词
SystemC-AMS; Multi-Domain Virtual Prototyping; Microfluidics; Lab on a Chip; Poiseuille flow; SPH (Smoothed Particle Hydrodynamics);
D O I
10.1016/j.micpro.2015.07.007
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The design of "Lab on a Chip" microfluidic devices is, typically, preceded by a long and costly period of prototyping stages in which the system is gradually refined by an iterative process, involving the manufacturing of a physical prototype and the making of a lot of laboratory experiments. In this scenario, a virtual prototyping framework which allows the emulation of the behavior of the complete system is greatly welcome. This paper presents such a framework and details a virtual prototyping methodology able to soundly handle microfluidic behavior based on SystemC-AMS extensions. The use of these extensions will permit the communication of the developed microfluidic models with external digital or mixed signal devices. This allows the emulation of the whole Lab on a Chip system as it usually includes a digital control and a mixed-signal reading environment. Moreover, as SystemC-AMS is also being extended to cover other physical domains within the CATRENE CA701 project, interactions with these domains will be possible, for example, with electromechanical or optical parts, should they be part of the system. The presented extensions that can manage the modeling of a micro-fluidic system are detailed. Two approaches have been selected: to model the fluid analytically based on the Poiseuille flow theory and to model the fluid numerically following the SPH (Smoothed Particle Hydrodynamics) approach. Both modeling techniques are, by now, encapsulated under the TDF (Timed Data Flow) MoC (Model of Computation) of SystemC-AMS. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:854 / 865
页数:12
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