Impact energy of particles in ball mills based on DEM simulations and data-driven approach

Sensitivity analysis of particle contact parameters for DEM simulation in a rotating drum using response surface methodology

(2019) Wenjie Rong et al.   POWDER TECHNOLOGY

Predicting reaction performance in C–N cross-coupling using machine learning

(2018) Derek T. Ahneman et al.   SCIENCE

Estimating energy in grinding using DEM modelling

(2016) N.S. Weerasekara et al.   MINERALS ENGINEERING

Insight into first-order breakage kinetics using a particle-scale breakage rate constant

(2014) M. Capece et al.   CHEMICAL ENGINEERING SCIENCE

Prediction of industrial, biophysical and extreme geophysical flows using particle methods

(2014) Paul W. Cleary et al.   ENGINEERING COMPUTATIONS

The contribution of DEM to the science of comminution

(2013) N.S. Weerasekara et al.   POWDER TECHNOLOGY

DEM modelling of liner evolution and its influence on grinding rate in ball mills

(2011) M.S. Powell et al.   MINERALS ENGINEERING

Effect of the size of media on grinding performance in stirred mills

(2011) C.T. Jayasundara et al.   MINERALS ENGINEERING

Scale-up methodology for tumbling ball mill based on impact energy of grinding balls using discrete element analysis

(2010) Tomohiro Iwasaki et al.   ADVANCED POWDER TECHNOLOGY

Effects of disc rotation speed and media loading on particle flow and grinding performance in a horizontal stirred mill

(2010) C.T. Jayasundara et al.   INTERNATIONAL JOURNAL OF MINERAL PROCESSING

Inferring Regulatory Networks from Expression Data Using Tree-Based Methods

(2010) Vân Anh Huynh-Thu et al.   PLoS One

Effect of slurry properties on particle motion in IsaMills

(2009) C.T. Jayasundara et al.   MINERALS ENGINEERING

Discrete particle simulation of particle flow in IsaMill—Effect of grinding medium properties

(2007) C.T. Jayasundara et al.   CHEMICAL ENGINEERING JOURNAL