Research on prediction model of ore grinding particle size distribution

References

• Fuerstenau, D. W.; Phatak, P. B.; Kapur, P. C.; Abouzeid, A.-Z. M. Simulation of the Grinding of Coarse/Fine (Heterogeneous) Systems in a Ball Mill. Int. J. Miner. Process 2011, 99, 32–36. DOI: 10.1016/j.minpro.2011.02.003.
   Web of Science ®Google Scholar
• Matijasic, G.; Kurajica, S. Grinding Kinetics of Amorphous Powder Obtained by Sol-Gel Process. Powder Technol. 2010, 197, 165–168. DOI: 10.1016/j.powtec.2009.09.010.
   Web of Science ®Google Scholar
• Bazin, C.; Obiang, P. Should the Slurry Density in a Grinding Mill Be Adjusted as a Function of Grinding Media Size. Miner. Eng. 2007, 20, 810–814. DOI: 10.1016/j.mineng.2007.01.017.
   Web of Science ®Google Scholar
• Schmidt, J.; Plata, M.; Troger, S.; Peukert, W. Production of Polymer Particles below 5μm by Wet Grinding. Powder Technol. 2012, 228, 84–88. DOI: 10.1016/j.powtec.2012.04.064.
   Web of Science ®Google Scholar
• Dundar, H.; Benzer, H.; Aydogan, N. Application of Population Balance Model to HPGR Crushing. Miner. Eng. 2013, 50, 114–120. DOI: 10.1016/j.mineng.2013.07.005.
   Web of Science ®Google Scholar
• Saeidi, F.; Tavares, L. M.; Yahyaei, M.; Powell, M. A Phenomenological Model of Single Particle Breakage as a Multi-Stage Process. Miner. Eng. 2016, 98, 90–100. DOI: 10.1016/j.mineng.2016.07.006.
   Web of Science ®Google Scholar
• Genc, Ö. Optimization of an Industrial Scale Open Circuit Three-Compartment Cement Grinding Ball Mill with the Aid of Simulation. Int. J. Miner. Process 2016, 154, 1–9. DOI: 10.1016/j.minpro.2016.06.007.
   Google Scholar
• Ghorbani, Y.; Mainza, A. N.; Petersen, J. Investigation of Particles with High Crack Density Produced by HPGR and Its Effect on the Redistribution of the Particle Size Fraction in Heaps. Miner. Eng. 2013, 43, 44–51. DOI: 10.1016/j.mineng.2012.08.010.
   Web of Science ®Google Scholar
• Salazar, J. S.; Barrios, G. P.; Rodriguez, V. Mathematical Modeling of a Vertical Shaft Impact Crusher Using the Whiten Model. Miner. Eng. 2017, 111, 222–228. DOI: 10.1016/j.mineng.2017.06.022.
   Web of Science ®Google Scholar
• Buddhiraju, V. S.; Runkana, V. Simulation of Nanoparticle Synthesis in an Aerosol Flamereactor Using a Coupled Flame Dynamics–Monodisperse Population Balance Model. J. Aerosol. Sci. 2012, 43, 1–13. DOI: 10.1016/j.jaerosci.2011.08.007.
   Web of Science ®Google Scholar
• Capece, M.; Bilgili, E.; Dave, R. Identification of the Breakage Rate and Distribution Parameters in a Non-Linear Population Balance Model for Batch Milling. Powder Technol. 2011, 208, 195–204. DOI: 10.1016/j.powtec.2010.12.019.
   Web of Science ®Google Scholar
• Genc, Ö.; Benzer, A. H. Single Particle Impact Breakage Characteristics of Clinkers Related to Mineral Composition and Grindability. Miner. Eng. 2009, 22, 1160–1165. DOI: 10.1016/j.mineng.2009.06.001.
   Web of Science ®Google Scholar
• Genc, Ö.; Benzer, A. H. Analysis of Single Particle Impact Breakage Characteristics of Raw and HPGR-Crushed Cement Clinkers by Drop Weight Testing. Powder Technol. 2014, 259, 37–45. DOI: 10.1016/j.powtec.2014.03.031.
   Web of Science ®Google Scholar
• Yu, P.; Xie, W.; Liu, L. X.; Powell, M. S. The Development of the Wide-Range 4D Appearance Function for Breakage Characterisation in Grinding Mills. Miner. Eng. 2017, 110, 1–11. DOI: 10.1016/j.mineng.2017.04.004.
   Web of Science ®Google Scholar
• Saeidi, F.; Yahyaei, M.; Poweel, M. Investigating the Effect of Applied Strain Rate in a Single Breakage Event. Miner. Eng. 2017, 110, 211–222. DOI: 10.1016/j.mineng.2016.09.010.
   Web of Science ®Google Scholar
• Hennart, S. L. A.; Wildeboer, W. J.; van Hee, P.; Meesters, G. M. H. Identification of the Grinding Mechanisms and Their Origin in a Stirred Ball Mill Using Population Balances. Chem. Eng. Sci. 2009, 64, 4123–4130. DOI: 10.1016/j.ces.2009.06.031.
   Web of Science ®Google Scholar
• Djantou, E. B.; Mbofung, C. M.; Scher, J.; Desobry, S. A Modelling Approach to Determine the Effect of Pre-Treatment on the Grinding Ability of Dried Mangoes for Powder Production. J. F. Eng. 2007, 80, 668–677. DOI: 10.1016/j.jfoodeng.2006.07.003.
   Web of Science ®Google Scholar
• Runkana, V.; Somasundaran, P.; Kapur, P. C. A Population Balance Model for Flocculation of Colloidal Suspensions by Polymer Bridging. Chem. Engi. Sci. 2006, 61, 182–191. DOI: 10.1016/j.ces.2005.01.046.
   Web of Science ®Google Scholar
• Ma, C. Y.; Wang, X. Z. Model Identification of Crystal Facet Growth Kinetics in Morphological Population Balance Modeling of L-Glutamic Acid Crystallization and Experimental Validation. Chem. Eng. Sci. 2012, 70, 22–30. DOI: 10.1016/j.ces.2011.05.042.
   Web of Science ®Google Scholar
• Shi, F.; Kojovic, T. Validation of a Model for Impact Breakage Incorporating Particle Size Effect. Int. J. Miner. Process 2007, 82, 156–163. DOI: 10.1016/j.minpro.2006.09.006.
   Web of Science ®Google Scholar
• Napier, M. T. J.; Morrell, S.; Morrison, R. D.; Kovojic, T. Mineral Comminution Circuits Their Operation and Optimization. Austrilia: JKMRC. U. Q. P. 2005.
   Google Scholar
• Duan, X. X. Crushing and Grinding. 3rd ed. Beijing: Metallurgical Industry Press, 2012, 134–204.(in Chinese)
   Google Scholar
• B. C, C. Grinding Principle. Beijing: Metallurgical Industry Press, 1989, 181–252.
   Google Scholar
• Reid, K. J. A Solution to the Batch Grinding Equation. Chem. Eng. Sci. 1965, 20, 953–963. DOI: 10.1016/0009-2509(65)80093-8.
   Web of Science ®Google Scholar