Creating resilient networks of microreactors: A graph theory approach
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 . • Graph-theory-inspired microreactor networks are studied using a flow network model. • Methodology for simulating and quantifying network damage and repair is proposed. • Networks are evaluated for flow uniformity, resilience, and ease of repair. • The performance of all network topologies is acceptable, with some being superior. • Select results confirmed with direct numerical simulations .
Authors
- Agnieszka Truszkowska (ORCID: https://orcid.org/0000-0002-2516-2298)
- Michael J. Daniels (ORCID: https://orcid.org/0000-0002-9856-9486)
- Jaxyn Kirian
- Krista Harris
Institutions
- University of Alabama in Huntsville (US)
Publication Details
- Journal
- Chemical Engineering and Processing - Process Intensification
- Published
- 2025-04-15
- DOI
- https://doi.org/10.1016/j.cep.2025.110306
- Primary Topic
- Innovative Microfluidic and Catalytic Techniques Innovation
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Alabama Space Grant Consortium
- Oak Ridge Associated Universities
- University of Alabama in Huntsville