High-speed 4D neutron computed tomography for quantifying water dynamics in polymer electrolyte fuel cells.
Ralf F ZiescheJennifer HackLara RashaMaximilian MaierChun TanThomas M M HeenanHenning MarkötterNikolay KardjilovIngo MankeWinfried KockelmannDan John Leslie BrettPaul R ShearingPublished in: Nature communications (2022)
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.
Keyphrases
- high speed
- high resolution
- climate change
- computed tomography
- atomic force microscopy
- induced apoptosis
- single cell
- deep learning
- cell cycle arrest
- machine learning
- oxidative stress
- stem cells
- mesenchymal stem cells
- signaling pathway
- magnetic resonance
- endoplasmic reticulum stress
- photodynamic therapy
- fluorescent probe
- quantum dots
- contrast enhanced
- solid state