| Literature DB >> 35338141 |
Ralf F Ziesche1,2,3,4, Jennifer Hack1, Lara Rasha1, Maximilian Maier1, Chun Tan1,2, Thomas M M Heenan1,2, Henning Markötter5,6,7, Nikolay Kardjilov5, Ingo Manke5, Winfried Kockelmann4, Dan J L Brett1,2, Paul R Shearing8,9.
Abstract
In recent years, low-temperature polymer electrolyte fuel cells have become an increasingly important pillar in a zero-carbon strategy for curbing climate change, with their potential to power multiscale stationary and mobile applications. The performance improvement is a particular focus of research and engineering roadmaps, with water management being one of the major areas of interest for development. Appropriate characterisation tools for mapping the evolution, motion and removal of water are of high importance to tackle shortcomings. This article demonstrates the development of a 4D high-speed neutron imaging technique, which enables a quantitative analysis of the local water evolution. 4D visualisation allows the time-resolved studies of droplet formation in the flow fields and water quantification in various cell parts. Performance parameters for water management are identified that offer a method of cell classification, which will, in turn, support computer modelling and the engineering of next-generation flow field designs.Entities:
Year: 2022 PMID: 35338141 PMCID: PMC8956593 DOI: 10.1038/s41467-022-29313-5
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 17.694