S. Suthers

发表

Beneficiation Strategies for Removal of Silica and Alumina from Low-Grade Hematite-Goethite Iron Ores

V. Nunna, M. Pownceby, S. Suthers, 2021, Mineral Processing and Extractive Metallurgy Review.

Utilization of optical image analysis and automatic texture classification for iron ore particle characterisation

E. Donskoi, S. P. Suthers, John Clout, 2007 .

Prediction of hydrocyclone performance in iron ore beneficiation using texture classification

T. D. Raynlyn, J. Campbell, S. Suthers, 2005 .

Evaluation of dry grinding using HPGR in closed circuit with an air classifier

A. Jankovic, S. Suthers, T. Wills, 2015 .

Using quantitative electron microscopy for process mineralogy applications

P. Gottlieb, S. Spencer, D. Sutherland, 2000 .

Experimental Study of Dry Desliming Iron Ore Tailings by Air Classification

A. Nguyen, V. Nunna, S. Suthers, 2019, Mineral Processing and Extractive Metallurgy Review.

Experimental study on the beneficiation of low-grade iron ore fines using hydrocyclone desliming, reduction roasting and magnetic separation

V. Nunna, S. Hapugoda, S. Suthers, 2014 .

Ultrasonic treatment of high phosphorus Australian iron ore fines

M. Pownceby, S. Suthers, E. Donskoi, 2022, Minerals Engineering.

Iron ore textural information is the key for prediction of downstream process performance

A. Poliakov, E. Donskoi, Ralph J. Holmes, 2016 .

Modelling and optimization of hydrocyclone for iron ore fines beneficiation — using optical image analysis and iron ore texture classification

E. Donskoi, S. P. Suthers, J. J. Campbell, 2008 .