Using the discrete element method to analyze the breakage rate in a centrifugal/vibration mill H Lee, H Cho, J Kwon Powder technology 198 (3), 364-372, 2010 | 68 | 2010 |
Optimum choice of the make-up ball sizes for maximum throughput in tumbling ball mills H Cho, J Kwon, K Kim, M Mun Powder technology 246, 625-634, 2013 | 47 | 2013 |
Application of DEM model to breakage and liberation behaviour of recycled aggregates from impact-breakage of concrete waste H Lee, JH Kwon, KH Kim, HC Cho Minerals Engineering 21 (11), 761-765, 2008 | 27 | 2008 |
Simulation and optimization of a two-stage ball mill grinding circuit of molybdenum ore J Kwon, J Jeong, H Cho Advanced Powder Technology 27 (4), 1073-1085, 2016 | 24 | 2016 |
Modeling of coal breakage in a double-roll crusher considering the reagglomeration phenomena J Kwon, H Cho, M Mun, K Kim Powder Technology 232, 113-123, 2012 | 24 | 2012 |
Study on characteristics of various extractants for mineral carbonation of industrial wastes M Mun, H Cho, J Kwon Journal of environmental chemical engineering 5 (4), 3803-3821, 2017 | 22 | 2017 |
Investigation of the CO2 Sequestration by Indirect Aqueous Carbonation of Waste Cement M Mun, H Cho, J Kwon, K Kim, R Kim American Journal of Climate Change 6 (01), 132, 2017 | 21 | 2017 |
Sedimentation in homogeneous and inhomogeneous fluids using SPH J Kwon, JJ Monaghan International Journal of Multiphase Flow 72, 155-164, 2015 | 20 | 2015 |
Simulation of particle-laden flow in a Humphrey spiral concentrator using dust-liquid smoothed particle hydrodynamics J Kwon, H Kim, S Lee, H Cho Advanced Powder Technology 28 (10), 2694-2705, 2017 | 19 | 2017 |
Investigation of breakage characteristics of low rank coals in a laboratory swing hammer mill J Kwon, H Cho, D Lee, R Kim Powder technology 256, 377-384, 2014 | 18 | 2014 |
Beneficiation of coal pond ash by physical separation techniques SJ Lee, HC Cho, JH Kwon Journal of environmental management 104, 77-84, 2012 | 17 | 2012 |
A deep CNN-based ground vibration monitoring scheme for MEMS sensed data JM Kang, IM Kim, S Lee, DW Ryu, J Kwon IEEE Geoscience and Remote Sensing Letters 17 (2), 347-351, 2019 | 14 | 2019 |
A novel SPH method for sedimentation in a turbulent fluid J Kwon, JJ Monaghan Journal of Computational Physics 300, 520-532, 2015 | 13 | 2015 |
Simulation of bubble–particle collision process and estimation of collision probability using a coupled smoothed particle hydrodynamics–discrete element method model J Je, D Lee, J Kwon, H Cho Minerals Engineering 176, 107309, 2022 | 11 | 2022 |
Investigation of error distribution in the back-calculation of breakage function model parameters via nonlinear programming J Kwon, H Cho Minerals 11 (4), 425, 2021 | 6 | 2021 |
Investigation of discharge characteristics of rod-shaped particles in a hopper: Experimental and numerical studies using polygonal/polyhedral DEM J Kwon, DW Ryu Advanced Powder Technology 31 (10), 4207-4221, 2020 | 6 | 2020 |
Simulation of bubble–plate attachment and estimation of induction time using smoothed particle hydrodynamics J Je, J Kwon, H Cho Minerals Engineering 149, 106227, 2020 | 6 | 2020 |
Simulation of solid-liquid flows using a two-way coupled smoothed particle hydrodynamics-discrete element method model J Kwon, H Cho Korean Journal of Chemical Engineering 33, 2830-2841, 2016 | 6 | 2016 |
Prediction of iron ore mineral liberation behavior using the Andrews–Mika diagram and beta distribution D Lee, J Je, K Kim, J Kwon, H Cho Advanced Powder Technology 33 (5), 103558, 2022 | 5 | 2022 |
Deep learning-based ground vibration monitoring: Reinforcement learning and RNN–CNN approach S Yun, JM Kang, J Ha, S Lee, DW Ryu, J Kwon, IM Kim IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 4 | 2021 |