Welcome to the Amira-Avizo Software Use Case Gallery

Fuel cells are electrochemical devices that convert the chemical energy of fuels into electrical energy. An ideal option for a wide variety of portable, stationary, and automotive applications is using the polymer electrolyte
fuel cells due to their modular design, high efficiency, and environmental benefits.

A 3D microstructure of the non-woven gas diffusion layers (GDLs) of polymer electrolyte fuel cells (PEFCs) is reconstructed using a stochastic method. For a commercial GDL, ... Read more

Mass transport can significantly limit the rate of reaction and lead to concentration polarization in electrochemical devices, especially under the conditions of high operating current density.

In this study we investigate hierarchically structured micro-tubular solid
oxide fuel cells (MT-SOFC) fabricated by phase inversion technique and quantitatively assess the mass transport and electrochemical performance improvement compared to a conventional tubular SOFC. We present pioneer... Read more

This study aims to correlate the active triple phase boundaries (TPBs) to the variation of as-prepared anode microstructures and Ni densifications based on the reconstructed 3D volume of an SOFC anode, providing a point of comparison with theoretical studies that reveal the relationship of TPBs and the material microstructure using randomly packed spheres models.

Nickel/zirconia-based nanostructured electrodes for solid oxide fuel cells suffer from poor stability even at intermediate temperature.

This study quantifies the electrochemical and microstructural degradation of nanostructured electrodes by combining 3D tomography, electrochemical impedance spectroscopy (EIS) and mechanistic modeling. For the first time, the electrochemical degradation of nanostructured electrodes is quantified according to the fractal nature of the three-phase bounda... Read more

A simple chemical bath deposition is used to coat a complex porous ceramic scaffold with a conformal Ni layer.

The resulting composite is used as a solid oxide fuel cell electrode, and its electrochemical response is measured in humidified hydrogen. X‐ray tomography is used to determine the microstructural characteristics of the uncoated and Ni‐coated porous structure, which include the surface area to total volume, the radial pore size, and the size of the necks between the pores.... Read more

The most common means of fabricating membrane electrode assemblies (MEAs) for polymer electrolyte fuel cells (PEFCs) involves a hot-press step. The conditions used to perform the hot-press impacts the performance and durability of the fuel cell.

However, the hot-press process is not essential for achieving operational MEAs and some practitioners dispense with the hot-press stage altogether by using a self-assembled approach. By performing the integration of the components in-situ durin... Read more

Ni-YSZ anodes for Solid Oxide Fuel Cells are vulnerable to microstructural damage during redox cycling leading to a decrease in the electrochemical performance.

• Quantification of redox damage by coupling 3D tomography, EIS and nanoindentation.
• YSZ fracture, Ni detachment and agglomeration led to irreversible mechanical damage.
• Ni nanoparticles obtained upon redox cycling improve electrochemical performance.
• Loss in TPB densi... Read more

Here, a review of tortuosity calculation procedures applied in the field of electrochemical devices is presented to better understand the resulting values presented in the literature. Visible differences between calculation methods are observed, especially when using porosity–tortuosity relationships and when comparing geometric and flux-based tortuosity calculation approaches.

Physical characteristics critical to chromatography including geometric porosity and tortuosity within the packed column were analysed based upon three dimensional reconstructions of bed structure in-situ. Image acquisition was performed using two X-ray computed tomography systems, with optimisation of column imaging performed for each sample in order to produce three dimensional representations of packed beds at 3 μm resolution.