Graphite, which is a key anode material for LIB, needs to have a high tap density (
dt) to reach a high volumetric energy density. Since
dt is directly correlated with particle size, particle size distribution, and particle shape, it
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Graphite, which is a key anode material for LIB, needs to have a high tap density (
dt) to reach a high volumetric energy density. Since
dt is directly correlated with particle size, particle size distribution, and particle shape, it can usually be improved by optimized grinding. So, determining the ideal grinding time by modeling the change in
dt over grinding time can yield substantial benefits like time, energy, and economy. However, the grinding time-dependent
dt modeling of graphite has never been reported before. Therefore, in this study, the relationship between the measured
dt values and grinding times of graphite particles by a vibrating disc mill (
VDM) was investigated. Then, the empirical time-dependent
dt models were established with high R
2 values. The experimental and predicted
dt values were found to be close to each other. Among all tested fitting models, the exponential model (
dt = ae−bt) was found to be the best-fitting model, having the highest R
2 and lowest error values. This approach provides guidance in the powder flow and processing of ground mineral materials, in the preparation processes of high-density graphite LIB anode material, as well as in graphite grinding in other mills in the industry, as well as in different electrode materials.
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