| contributor author | Klingele, Matthias | |
| contributor author | Moroni, Riko | |
| contributor author | Vierrath, Severin | |
| contributor author | Thiele, Simon | |
| date accessioned | 2019-02-28T11:13:59Z | |
| date available | 2019-02-28T11:13:59Z | |
| date copyright | 9/19/2017 12:00:00 AM | |
| date issued | 2018 | |
| identifier issn | 2381-6872 | |
| identifier other | jeecs_015_01_014701.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4254110 | |
| description abstract | The 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. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Multiscale Tomography-Based Analysis of Polymer Electrolyte Fuel Cells: Towards a Fully Resolved Gas Diffusion Electrode Reconstruction | |
| type | Journal Paper | |
| journal volume | 15 | |
| journal issue | 1 | |
| journal title | Journal of Electrochemical Energy Conversion and Storage | |
| identifier doi | 10.1115/1.4037244 | |
| journal fristpage | 14701 | |
| journal lastpage | 014701-7 | |
| tree | Journal of Electrochemical Energy Conversion and Storage:;2018:;volume( 015 ):;issue: 001 | |
| contenttype | Fulltext | |