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通过利用更高层次的抽象来加速微流控设备的计算流体动力学模拟

Accelerated Computational Fluid Dynamics Simulations of Microfluidic Devices by Exploiting Higher Levels of Abstraction.

作者信息

Takken Michel, Wille Robert

机构信息

School of Computation, Information and Technology, Technical University of Munich, Arcisstraße 21, 80333 München, Germany.

Software Competence Center Hagenberg GmbH (SCCH), Softwarepark 32a, 4232 Hagenberg, Austria.

出版信息

Micromachines (Basel). 2024 Jan 12;15(1):0. doi: 10.3390/mi15010129.

DOI:10.3390/mi15010129
PMID:38258248
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11154455/
Abstract

The design of microfluidic devices is a cumbersome and tedious process that can be significantly improved by simulation. Methods based on (CFD) are considered state-of-the-art, but require extensive compute time-oftentimes limiting the size of microfluidic devices that can be simulated. Simulation methods that abstract the underlying physics on a higher level generally provide results instantly, but the fidelity of these methods is usually worse. In this work, a simulation method that accelerates CFD simulations by exploiting simulation methods on higher levels of abstraction is proposed. Case studies confirm that the proposed method accelerates CFD simulations by multiple factors (often several orders of magnitude) while maintaining the fidelity of CFD simulations.

摘要

微流控设备的设计是一个繁琐且冗长的过程,而通过模拟可以显著改进这一过程。基于计算流体动力学(CFD)的方法被认为是最先进的,但需要大量的计算时间——这常常限制了能够模拟的微流控设备的尺寸。在更高层次上对基础物理进行抽象的模拟方法通常能立即给出结果,但其逼真度通常较差。在这项工作中,提出了一种通过利用更高层次抽象的模拟方法来加速CFD模拟的模拟方法。案例研究证实,所提出的方法在保持CFD模拟逼真度的同时,能将CFD模拟加速多个因素(通常是几个数量级)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e80/11154455/c0056f3f802a/micromachines-15-00129-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e80/11154455/f11f11f244d3/micromachines-15-00129-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e80/11154455/ed917eecb45d/micromachines-15-00129-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e80/11154455/97f4375bff58/micromachines-15-00129-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e80/11154455/c61328eaded6/micromachines-15-00129-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e80/11154455/6773c1de5e21/micromachines-15-00129-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e80/11154455/9782db6ea1d6/micromachines-15-00129-g006a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e80/11154455/5f9c735ba0ce/micromachines-15-00129-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e80/11154455/c0056f3f802a/micromachines-15-00129-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e80/11154455/f11f11f244d3/micromachines-15-00129-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e80/11154455/ed917eecb45d/micromachines-15-00129-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e80/11154455/97f4375bff58/micromachines-15-00129-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e80/11154455/c61328eaded6/micromachines-15-00129-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e80/11154455/6773c1de5e21/micromachines-15-00129-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e80/11154455/9782db6ea1d6/micromachines-15-00129-g006a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e80/11154455/5f9c735ba0ce/micromachines-15-00129-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e80/11154455/c0056f3f802a/micromachines-15-00129-g008.jpg

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