An approach to calibration of BPM bonding parameters for iron ore

Lee, 2011, A comparative study between cone crushers and theoretically optimal crushing sequences, Miner. Eng., 24, 188, 10.1016/j.mineng.2010.07.013 Pothina, 2007, Gyratory crusher model and impact parameters related to energy consumption, Miner. Metall. Process., 24, 170 Gupta, 2006, Chapter 5 – Gyratory and cone crusher, 128 Quist, 2011 Zhang, 2018, The improved model of particle shape prediction considering the choke-level effect for cone crusher Gröndahl, 2018, Diagnostics of cone crusher feed segregation using power draw measurements, Miner. Eng., 127, 15, 10.1016/j.mineng.2018.07.008 Liu, 2018, Influence of operating conditions and crushing chamber on energy consumption of cone crusher, Energies, 11 2019, J. Drive Control, 16, 1 Ulsen, 2019, Concrete aggregates properties crushed by jaw and impact secondary crushing, J. Mater. Res. Techol., 8, 494, 10.1016/j.jmrt.2018.04.008 Sinha, 2019, Failure rate analysis of Jaw Crusher: a case study, Sadhana-Acda. P. Eng. S., 44 Gang, 2009, Analysis and optimization of cone crusher performance, Miner. Eng., 22, 1091, 10.1016/j.mineng.2009.03.020 Huang, 2007, Multi-objective planning of cone crusher chamber, output and size reduction, Miner. Eng., 20, 163, 10.1016/j.mineng.2006.08.007 Hulthén, 2009, Algorithm for dynamic cone crusher control, Miner. Eng., 22, 296, 10.1016/j.mineng.2008.08.007 Powell, 2007, The future of comminution modelling, Int. J. Miner. Process., 84, 28, 10.1016/j.minpro.2006.08.003 Dong, 2009, Research on aggregate particle shape of cone crusher, J. Shanghai Jiaotong U., 43, 731 Ma, 2016, Prediction of cone crusher performance considering liner wear, Appl. Sci. (Switz.), 6 Johansson, 2017, A fundamental model of an industrial-scale jaw crusher, Miner. Eng., 105, 69, 10.1016/j.mineng.2017.01.012 Chen, 2018, An approach to and validation of maize-seed-assembly modelling based on the discrete element method, Powder Technol., 328, 167, 10.1016/j.powtec.2017.12.007 Johansson, 2017, Cone crusher performance evaluation using DEM simulations and laboratory experiments for model validation, Miner. Eng., 103-104, 93, 10.1016/j.mineng.2016.09.015 Qiu, 2017, 37 Beloglazov, 2016, Computer simulation methods for crushing process in an jaw crusher, 142, 1 Lisjak, 2014, A review of discrete modeling techniques for fracturing processes in discontinuous rock masses, J. Rock Mech. Geotech. Eng., 6, 301, 10.1016/j.jrmge.2013.12.007 Quist, 2016, Cone crusher modelling and simulation using DEM, Miner. Eng., 85, 92, 10.1016/j.mineng.2015.11.004 Cleary, 2017, Analysis of cone crusher performance with changes in material properties and operating conditions using DEM, Miner. Eng., 100, 49, 10.1016/j.mineng.2016.10.005 Cleary, 2015, Simulation of particle flows and breakage in crushers using DEM: part 1 – compression crushers, Miner. Eng., 74, 178, 10.1016/j.mineng.2014.10.021 Lichter, 2009, New developments in cone crusher performance optimization, Miner. Eng., 22, 613, 10.1016/j.mineng.2009.04.003 Potyondy, 2004, A bonded-particle model for rock, Int. J. Rock Mech. Min., 41, 1329, 10.1016/j.ijrmms.2004.09.011 Wang, 2019, Modelling of sand production using a mesoscopic bonded particle lattice Boltzmann method, Eng. Comput., 36, 691, 10.1108/EC-02-2018-0093 Li, 2014, Discrete-element modelling of rock communition in a cone crusher using a bonded particle model, Géotech. Lett., 4, 79, 10.1680/geolett.14.00006 Manso, 2019, Effect of the clump size for bonded particle model on the uniaxial and tensile strength ratio of rock, Int. J. Rock Mech. Min., 114, 131, 10.1016/j.ijrmms.2018.12.024 Jiang, 2018, Study on macro–meso failure mechanism of pre-fractured rock specimens under uniaxial compression, Geotech. Geol. Eng., 36, 3211, 10.1007/s10706-018-0531-x Cho, 2007, A clumped particle model for rock, Int. J. Rock Mech. Min. Sci., 44, 997, 10.1016/j.ijrmms.2007.02.002 Cundall, 1979, A discrete numerical model for granular assemblies, Geotechnique, 29, 47, 10.1680/geot.1979.29.1.47 Mindlin, 1949, Compliance of elastic bodies in contact, J. Appl. Mech., 16, 259, 10.1115/1.4009973 Qiu, 2013, Development status of large-scale hydraulic gyratory crusher at home and abroad, Metal Mine, 445, 126 Chen, 2020, Simulation and optimization of gyratory crusher performance based on the discrete element method, Powder Technol., 376, 93, 10.1016/j.powtec.2020.07.034 Ji, 2015 Myers, 2002