TY - JOUR
T1 - Modeling the change of the sphericity feature of graphite particles ground in a ball and vibrating disc mill with grinding time
AU - Ulusoy, Ugur
AU - Burat, Fırat
AU - Bayar, Guler
AU - Mojtahedi, Behrad
AU - Güven, Gülşah
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2024/9/1
Y1 - 2024/9/1
N2 - Natural graphite, the most preferred battery anode material driving the EV revolution, is purified by flotation after being micronized. Therefore, grinding, an energy-intensive process that affects the size and shape of particles, is of very central importance not only for graphite ore flotation but also for the anode material preparation. Since controlling particle shape through the selection of an appropriate grinding system can enhance these processes, obtaining optimum grinding conditions by modeling the change of particle shape with grinding time can bring remarkable benefits in terms of time, energy, and cost. However, grinding modeling has mostly focused on particle size and the effect of particle shape has generally been lacking. Therefore, this study delves into the relationship between the shape of graphite particles obtained at the same size fraction by grinding them in “tumbling” and “non-tumbling” mills and the grinding time. Linear and nonlinear models were trained on shape data determined by DIA, which is the most accurate technique and used to estimate the required grinding time for spherical-shaped particles. The results showed that the time-dependent linear shape model (BRARav. = − a.t + b) was the best as it had the highest R2 (0.96), and the lowest errors compared to other tested models. It was also found that the predicted values were in good agreement with the actual values.
AB - Natural graphite, the most preferred battery anode material driving the EV revolution, is purified by flotation after being micronized. Therefore, grinding, an energy-intensive process that affects the size and shape of particles, is of very central importance not only for graphite ore flotation but also for the anode material preparation. Since controlling particle shape through the selection of an appropriate grinding system can enhance these processes, obtaining optimum grinding conditions by modeling the change of particle shape with grinding time can bring remarkable benefits in terms of time, energy, and cost. However, grinding modeling has mostly focused on particle size and the effect of particle shape has generally been lacking. Therefore, this study delves into the relationship between the shape of graphite particles obtained at the same size fraction by grinding them in “tumbling” and “non-tumbling” mills and the grinding time. Linear and nonlinear models were trained on shape data determined by DIA, which is the most accurate technique and used to estimate the required grinding time for spherical-shaped particles. The results showed that the time-dependent linear shape model (BRARav. = − a.t + b) was the best as it had the highest R2 (0.96), and the lowest errors compared to other tested models. It was also found that the predicted values were in good agreement with the actual values.
KW - Dynamic image analysis
KW - Graphite
KW - Grinding
KW - Sphericity
KW - Time-dependent shape modeling
UR - http://www.scopus.com/inward/record.url?scp=85197647404&partnerID=8YFLogxK
U2 - 10.1016/j.est.2024.112814
DO - 10.1016/j.est.2024.112814
M3 - Article
AN - SCOPUS:85197647404
SN - 2352-152X
VL - 97
JO - Journal of Energy Storage
JF - Journal of Energy Storage
M1 - 112814
ER -