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Quantifying the hydrodynamic contribution to electrical transport in non-Brownian suspensions
Han Lin1, Madhu V Majji2, Noah Cho1
1Department of Chemical & Biological Engineering, Northwestern University, Evanston, IL 60208.
Summary
Shear flow dynamically controls electrical conductivity in particle suspensions, crucial for grid-scale batteries. This research offers a model predicting transport rates based on particle diffusion and shear rate.
Area of Science:
- Materials Science
- Electrochemistry
- Fluid Dynamics
Background:
- Electrical transport in particle suspensions is key for grid-scale batteries.
- A universal physical framework for this transport is currently lacking.
Purpose of the Study:
- To investigate the impact of shear flow on electrical transport in non-Brownian suspensions.
- To develop a predictive physical model for this phenomenon.
Main Methods:
- Combines experimental studies with computational simulations.
- Analyzes the dependence of transport rate on particle volume fraction and applied shear rate.
Main Results:
- Electrical conductivity can be dynamically tuned by over 10^7 decades via applied shear rate.
- Transport rate shows strong dependence on particle volume fraction and shear rate.
Conclusions:
- Electrical transport relies on combined charge and particle diffusion.
- A quantitative physical model incorporating particle self-diffusion accurately predicts transport rates.
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