Creating resilient networks of microreactors: A graph theory approach

IF 3.8 3区 工程技术 Q3 ENERGY & FUELS
Jaxyn Kirian , Michael Abeiku Daniels , Krista Harris , Agnieszka Truszkowska
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引用次数: 0

Abstract

The practical integration of numerous microreactors into networks is still a challenge that hinders the use of microtechnology on a commercial scale. One major difficulty is achieving uniform flow rates inside all interconnected microreactors. In this work, we construct microreactor networks using topologies inspired by the classical graph theory and study them with the flow network model. We propose methodology for creating, modeling, and quantifying the performance of the networks with up to 58 devices. We study the flow uniformity inside the microreactor networks, their response to malfunctioning, and their recovery from various levels of damage. We found that all investigated network topologies had acceptable performance, even after sustaining considerable damage, and identified designs that outperformed the others in various aspects. We also showed that repairing a heavily malfunctioning network is not trivial for any topology, including simple ones. Finally, we confirmed select findings with three-dimensional direct numerical simulations.

Abstract Image

创建弹性微反应器网络:图论方法
将许多微反应器实际集成到网络中仍然是一个挑战,它阻碍了微技术在商业规模上的应用。一个主要的困难是在所有相互连接的微反应器内实现均匀的流速。在本工作中,我们利用受经典图论启发的拓扑结构构建微反应器网络,并用流网络模型对其进行研究。我们提出了创建、建模和量化多达58个设备的网络性能的方法。我们研究了微反应器网络内部的流动均匀性,它们对故障的响应,以及它们从不同程度的损坏中恢复。我们发现所有调查的网络拓扑都具有可接受的性能,即使在遭受相当大的破坏之后,并且确定了在各个方面优于其他设计的设计。我们还表明,修复严重故障的网络对于任何拓扑都不是一件容易的事,包括简单的拓扑。最后,我们用三维直接数值模拟证实了选择的结果。
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来源期刊
CiteScore
7.80
自引率
9.30%
发文量
408
审稿时长
49 days
期刊介绍: Chemical Engineering and Processing: Process Intensification is intended for practicing researchers in industry and academia, working in the field of Process Engineering and related to the subject of Process Intensification.Articles published in the Journal demonstrate how novel discoveries, developments and theories in the field of Process Engineering and in particular Process Intensification may be used for analysis and design of innovative equipment and processing methods with substantially improved sustainability, efficiency and environmental performance.
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