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Updated: Apr 13, 2026

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography
Published on: February 25, 2015
A dedicated compression device for high resolution X-ray tomography of compressed gas diffusion layers
C Tötzke1, I Manke1, G Gaiselmann2
1Helmholtz-Zentrum Berlin für Materialien und Energie GmbH, 14109 Berlin, Germany.
This study introduces a new method to examine gas diffusion layer (GDL) microstructure under compression using synchrotron tomography. Findings reveal non-uniform compression in GDLs, impacting gas transport and water removal in fuel cells.
Area of Science:
- Materials Science
- Electrochemistry
- Engineering
Background:
- Gas diffusion layers (GDLs) are critical components in fuel cells, influencing performance and durability.
- Understanding GDL microstructure under compression is essential for optimizing fuel cell design.
- Current methods often fail to replicate realistic operating conditions.
Purpose of the Study:
- To develop and validate an experimental approach for studying GDL microstructure under compression.
- To quantify the impact of compression on GDL geometrical parameters.
- To investigate the effects of flow-field geometry on GDL compression.
Main Methods:
- Design of a specialized compression device for in-situ synchrotron tomography.
- Tomographic imaging of GDL samples at varying compression levels (0% and 30% vol.%).
- Evaluation of transport-relevant parameters: porosity, pore size, and tortuosity distributions.
Main Results:
- Synchrotron tomography successfully captured 3D GDL microstructure under compression.
- Non-uniform compression observed: homogeneous under ribs, less so under channels.
- GDL fibers protrude into flow channels, potentially hindering gas transport and water removal.
Conclusions:
- The developed experimental approach enables realistic GDL microstructure analysis.
- Non-uniform compression significantly affects GDL properties and fuel cell performance.
- Fiber intrusion into flow channels poses a challenge for efficient fuel cell operation.
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