Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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University of Southampton

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2022The soluble lead flow battery: Image-based modelling of porous carbon electrodes6citations
  • 2022The soluble lead flow battery6citations

Places of action

Chart of shared publication
Le Houx, James, Peter
1 / 1 shared
Wills, Richard
1 / 2 shared
Arenas Martinez, Luis Fernando
1 / 2 shared
Ranga Dinesh, K. K. J.
1 / 1 shared
James, Peter Le Houx
1 / 1 shared
Martinez, Luis Fernando Arenas
1 / 3 shared
Wills, Richard G. A.
1 / 7 shared
Koralage, Ranga Dinesh Kahanda
1 / 1 shared
Chart of publication period
2022

Co-Authors (by relevance)

  • Le Houx, James, Peter
  • Wills, Richard
  • Arenas Martinez, Luis Fernando
  • Ranga Dinesh, K. K. J.
  • James, Peter Le Houx
  • Martinez, Luis Fernando Arenas
  • Wills, Richard G. A.
  • Koralage, Ranga Dinesh Kahanda
OrganizationsLocationPeople

article

The soluble lead flow battery

  • James, Peter Le Houx
  • Martinez, Luis Fernando Arenas
  • Wills, Richard G. A.
  • Koralage, Ranga Dinesh Kahanda
  • Fraser, Ewan
Abstract

A novel numerical modelling framework coupling physics-based model equations and image-based input parameters is developed to simulate the behaviour of the soluble lead flow battery when reticulated vitreous carbon (RVC) electrodes are used. Experimental results are presented to validate the model. Open-source software OpenImpala is used to predict the macro-homogeneous properties of RVC from computed tomography scans of various grades of RVC. The process is repeated on manipulated datasets where a voxel dilation technique has been used to estimate the geometry of RVC electrodes with a range of thicknesses of electrodeposited material. The model predicts that with a region of free electrolyte dividing the electrodes, the electrolyte velocity is low within the electrodes. This is exacerbated by a build-up of deposit close to the inlet. By dividing the electrodes with only a porous separator, a deposit build-up is no longer seen, and the concentration within the electrodes is shown to be far more even. Finally, with an applied current density of 50 mA cm<sup>-2</sup>, the overpotential is predicted to be reduced by over 100 mV when 100 ppi RVC electrodes are used instead of 10 ppi electrodes. An experimentally validated voltage efficiency of over 80 % is achieved.

Topics
  • porous
  • density
  • impedance spectroscopy
  • Carbon
  • current density
  • computed tomography scan