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contributor authorKlingele, Matthias
contributor authorMoroni, Riko
contributor authorVierrath, Severin
contributor authorThiele, Simon
date accessioned2019-02-28T11:13:59Z
date available2019-02-28T11:13:59Z
date copyright9/19/2017 12:00:00 AM
date issued2018
identifier issn2381-6872
identifier otherjeecs_015_01_014701.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4254110
description abstractThe microstructure of a fuel cell electrode largely determines the performance of the whole fuel cell system. In this regard, tomographic imaging is a valuable tool for the understanding and control of the electrode morphology. The distribution of pore- and feature-sizes within fuel cell electrodes covers several orders of magnitude, ranging from millimeters in the gas diffusion layer (GDL) down to few nanometers in the catalyst layer. This obligates the application of various tomographic methods for imaging every aspect of a fuel cell. This perspective evaluates the capabilities, limits, and challenges of each of these methods. Further, it highlights and suggests efforts toward the integration of multiple tomographic methods into single multiscale datasets, a venture which aims at large-scale, and morphologically fully resolved fuel cell reconstructions.
publisherThe American Society of Mechanical Engineers (ASME)
titleMultiscale Tomography-Based Analysis of Polymer Electrolyte Fuel Cells: Towards a Fully Resolved Gas Diffusion Electrode Reconstruction
typeJournal Paper
journal volume15
journal issue1
journal titleJournal of Electrochemical Energy Conversion and Storage
identifier doi10.1115/1.4037244
journal fristpage14701
journal lastpage014701-7
treeJournal of Electrochemical Energy Conversion and Storage:;2018:;volume( 015 ):;issue: 001
contenttypeFulltext


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