3730 XXXI International Mineral Processing Congress 2024 Proceedings/Washington, DC/Sep 29–Oct 3
Hilden, M. M., Powell M.S., Yahyaei, M., 2021. an
improved method for grinding mill filling measure-
ment and the estimation of load volume and mass.
Minerals engineering, 160, 106638.
Hogg, R., and Fuerstenau, D.W., 1972. Power relationships
for tumbling mills. Trans. SME/AIME, 252, 418–423.
Kim, S., and Kim, H. 2016. A new metric of absolute
percentage error for intermittent demand forecasts.
International Journal of Forecasting, 32, 669–679.
Latchireddi, S.R., 2002. modeling the performance of grates
and pulp lifters in autogenous and Semiautogenous
mills. PhD thesis. University of Queensland.
Molycop, 2021, https://molycop.com.
Montgomery, D.C., 2005. Design and Analysis of
Experiments. 6rd ed. New York: John Wiley and Sons.
Morrell, S., 1993. the prediction of power draw in wet
tumbling mills. PhD thesis. University of Queensland.
Morrell, S., 2016. modelling the influence on power
draw of the slurry phase in Autogenous (AG), Semi-
autogenous (SAG) and ball mills. Minerals engineer-
ing, 89, 145–156.
Morrell, S., 2019. Testing and calculations for
Comminution machines. in: Kumar Kavatra, S.,
Young, C.A., (Eds.), SME Mineral Processing &
Extractive Metallurgy Handbook. Englewood: Society
for Mining, Metallurgy, and Exploration (SME).
Moys, M.H., 1993. A Model of mill power as affected
by mill speed, load volume, and liner design. The
Southern African Institute of Mining and Metallurgy,
93, 135–141.
Panjipour, R., Barani, K., 2014. the effect of ball size dis-
tribution on power draw, charge motion and breakage
mechanism of tumbling ball mill by discrete element
method (DEM) simulation. Physicochem. Probl.
Miner. Process, 54, 258–269.
Rajamani, R.K., Kumar, P., Govendr, N., 2019. The
evaluation of grinding mill power models. Mining,
Metallurgy and Exploration, 36, 151–157.
Sohn, H. Y., Moreland, C., 1968. The effect of particle size
distribution on packing density. CJChE, 46, 162–167.
Soleymani yazdi, M.R., Khorram, A., 2010. Modeling and
Optimization of Milling Process by using RSM and
ANN Methods. IJET, 2, 474–480.
U.S. DOE, 2007. Mining industry energy bandwidth
study. Washington, United States: U.S. Department of
Energy.
White, H.A., 1905. Theory of tube-mill action. Jour. Chem.
Met. and Min. Soc. of South Africa, 5, 290–305.
Wills, B. A., Finch, J. A., 2016. mineral processing tech-
nology: an introduction to the practical aspects of ore
treatment and mineral recovery. Amsterdam: Elsevier.
Yang, W. C., 2003. Liquid-solids Fluidization. in: Yang,
W. C., (Ed.), Handbook of Fluidization and Fluid−
Particle System. New York: Marcel Dekker.
Hilden, M. M., Powell M.S., Yahyaei, M., 2021. an
improved method for grinding mill filling measure-
ment and the estimation of load volume and mass.
Minerals engineering, 160, 106638.
Hogg, R., and Fuerstenau, D.W., 1972. Power relationships
for tumbling mills. Trans. SME/AIME, 252, 418–423.
Kim, S., and Kim, H. 2016. A new metric of absolute
percentage error for intermittent demand forecasts.
International Journal of Forecasting, 32, 669–679.
Latchireddi, S.R., 2002. modeling the performance of grates
and pulp lifters in autogenous and Semiautogenous
mills. PhD thesis. University of Queensland.
Molycop, 2021, https://molycop.com.
Montgomery, D.C., 2005. Design and Analysis of
Experiments. 6rd ed. New York: John Wiley and Sons.
Morrell, S., 1993. the prediction of power draw in wet
tumbling mills. PhD thesis. University of Queensland.
Morrell, S., 2016. modelling the influence on power
draw of the slurry phase in Autogenous (AG), Semi-
autogenous (SAG) and ball mills. Minerals engineer-
ing, 89, 145–156.
Morrell, S., 2019. Testing and calculations for
Comminution machines. in: Kumar Kavatra, S.,
Young, C.A., (Eds.), SME Mineral Processing &
Extractive Metallurgy Handbook. Englewood: Society
for Mining, Metallurgy, and Exploration (SME).
Moys, M.H., 1993. A Model of mill power as affected
by mill speed, load volume, and liner design. The
Southern African Institute of Mining and Metallurgy,
93, 135–141.
Panjipour, R., Barani, K., 2014. the effect of ball size dis-
tribution on power draw, charge motion and breakage
mechanism of tumbling ball mill by discrete element
method (DEM) simulation. Physicochem. Probl.
Miner. Process, 54, 258–269.
Rajamani, R.K., Kumar, P., Govendr, N., 2019. The
evaluation of grinding mill power models. Mining,
Metallurgy and Exploration, 36, 151–157.
Sohn, H. Y., Moreland, C., 1968. The effect of particle size
distribution on packing density. CJChE, 46, 162–167.
Soleymani yazdi, M.R., Khorram, A., 2010. Modeling and
Optimization of Milling Process by using RSM and
ANN Methods. IJET, 2, 474–480.
U.S. DOE, 2007. Mining industry energy bandwidth
study. Washington, United States: U.S. Department of
Energy.
White, H.A., 1905. Theory of tube-mill action. Jour. Chem.
Met. and Min. Soc. of South Africa, 5, 290–305.
Wills, B. A., Finch, J. A., 2016. mineral processing tech-
nology: an introduction to the practical aspects of ore
treatment and mineral recovery. Amsterdam: Elsevier.
Yang, W. C., 2003. Liquid-solids Fluidization. in: Yang,
W. C., (Ed.), Handbook of Fluidization and Fluid−
Particle System. New York: Marcel Dekker.