A simple centrifuge cell method for ex situ quantification of electrical conductivity of slurry electrode materials
• A system for fast ex-situ slurry electrode conductivity measurement is presented. • Cell design compatible with centrifugation and integrated graphite electrodes . • Carbon black (CB) shows a 5-fold conductivity improvement over activated carbon (AC). • CB/AC mixtures exhibit non-monotonic conductivity with a peak at 60 % CB mass fraction. • Enables rapid, reproducible, and simple conductivity measurements of packed pellets across slurry compositions. We present the design, experimental procedure, and experimental evaluation of a system for fast, simple, and ex situ characterization of electrical conductivity of slurry electrode materials. The system uses a custom-designed electrochemical cell compatible with centrifugation in a swing-bucket centrifuge. The cell features cylindrical graphite electrodes that are partially sheathed so as to expose only 2 mm of the electrode surface to the bottom region of the packed particulate pellet. Also presented is a conduction model that provides a shape factor for estimating effective conductivity. We tested aqueous solutions of carbon black (CB), activated carbon (AC), and mixtures thereof. These particles were dispersed in 0.0 and 0.5 M NaCl solutions. Measurements show that the effective conductivity initially increases linearly with pellet mass and then saturates at higher masses. Notably, CB exhibited a fivefold increase in conductivity than AC at equal pellet masses. CB/AC mixtures at a fixed pellet mass were tested with CB mass fractions of 0 to 100 %. Interestingly, the mixture conductivity was found to be a non-monotonic function of CB mass fraction, with a maximum conductivity at about 60 % CB mass fraction. At this maximum, the mixture conductivity is approximately 30 % higher than pure CB. NaCl concentration in the slurry solution had no effects on conductivity. These results highlight the interactions between slurry electrode composition and compaction, offering insights for optimizing slurry electrodes. The system and results may also be applicable to evaluation of particulate materials (including slurries) used for Li-ion batteries, capacitive deionization, fuel cells, and flow electrodes.
Authors
- Juan Gabriel Santiago (ORCID: https://orcid.org/0000-0001-8652-5411)
- Yousif M. Alkhulaifi (ORCID: https://orcid.org/0000-0003-4515-9915)
- Steven A. Hawks (ORCID: https://orcid.org/0000-0002-5983-8698)
- Tomek Jaroslawski (ORCID: https://orcid.org/0000-0003-0235-9888)
- Soumyadeep Paul (ORCID: https://orcid.org/0000-0002-4808-662X)
Institutions
- Lawrence Livermore National Laboratory (US)
- King Fahd University of Petroleum and Minerals (SA)
- Stanford University (US)
Publication Details
- Journal
- Chemical Engineering Journal
- Published
- 2025-04-18
- DOI
- https://doi.org/10.1016/j.cej.2025.162815
- Citations
- 2
- Primary Topic
- Membrane-based Ion Separation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- National Science Foundation
- U.S. Department of Energy
- King Fahd University of Petroleum and Minerals
- Laboratory Directed Research and Development
- Lawrence Livermore National Laboratory