Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where John Clout is active.

Publication


Featured researches published by John Clout.


Minerals Engineering | 1998

The CSIRO Hopkinson Bar Facility for large diameter particle breakage

Rolf Fandrich; John Clout; Florent Bourgeois

The new CSIRO Hopkinson Bar Facility has been commissioned at the Queensland Centre for Advanced Technologies in Brisbane, Australia. Similar devices, such as the Ultra Fast Load Cell (UFLC) at the Utah Comminution Centre have proven to be extremely useful in providing fundamental breakage data of particulate material. In addition to its 19 mm and 60 mm diameter Hopkinson bars, the new CSIRO facility includes a large 100 mm Hopkinson Bar. This large diameter carbon steel load cell is instrumented with highly sensitive semi-conductor strain gauges that give it a force resolution of less than 100 Newtons, permitting precise measurement of the energy to fracture large mineral particles. The devices ability to measure breakage properties, such as first fracture force and energy, of large particles up 100 mm is unique. Breakage data for iron ores over a wide size range is presented. The well known comminution result of increasing particle strength and fracture energy with decreasing particle size was confirmed for the iron ores tested. The influence of iron ore mineralogy and texture was also noted.


Israel Journal of Chemistry | 2007

Mathematical Modeling and Optimization of Iron Ore Sinter Properties

E. Donskoi; James Manuel; John Clout; Yimin Zhang

The quality of iron ore sinter is a critical factor determining the productivity of blast furnaces for iron-making. CSIRO has therefore been developing capabilities for predicting sinter characteristics, which enables sinter quality to be improved/optimized and preliminary assessments to be made of the suitability of specific ores or ore blends for sinter production. An extensive database of pilot-scale sintering experimental results has been used to create mathematical models for predicting different sinter properties. In addition to size distribution and other physical and chemical characteristics usually used for sinter quality prediction, the mineralogical and textural characteristics of iron ores intended for sintering have also been taken into account. This approach has been quite successful, the variation of sinter reduction degradation index (RDI) that is accounted for by explanatory variables (R-Sq) being 87%, for example. Optimization criteria have been developed that take into account several sinter characteristics simultaneously, and optimization of different iron ore blends to produce target sinter characteristics has been carried out. Modeling results and their preliminary validation are discussed.


Journal of Central South University of Technology | 2003

Effect of fluxes on high iron and low silica sintering

Zhu Deqing; Zhang Ke-cheng; Pan Jian; Fan Xiaohui; Hu You-ming; John Clout

Burnt lime and serpentine were incorporated into the sinter mix to improve high iron and low silica sintering. Optimization of how to use burnt lime including dosage of burnt lime, moisture of sinter mix, hydrating and granulation time was performed. Evaluations of sinter characteristics including sinter mineralogy, reducibility, low temperature reduction degradation, softening and melting down properties were carried out. Compared with the results of traditional process in base case, the tumbling index (TI) is increased by 1.53%–2.33% through proportioning high ratio of burnt lime or adding serpentine in the sinter mix. It is shown that effective granulation, better permeability and improved high temperature reactivity in the sinter bed are achieved, resulting in an increase in 3.13%–5.10% calcium ferrite occurring in acicular and columnar shape and decrease in glass phase, and with the reducibility index(RI) being increased by 1.65%–3.25%.


Minerals Engineering | 2007

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

E. Donskoi; S.P. Suthers; S.B. Fradd; J.M. Young; J.J. Campbell; T.D. Raynlyn; John Clout


Isij International | 2004

Mechano-chemical Activation of Magnetite Concentrate for Improving Its Pelletability by High Pressure Roll Grinding

Deqing Zhu; Jian Pan; Guanzhou Qiu; John Clout; Changan Wang; Yufeng Guo; Chenfan Hu


XXIII International Mineral Processing Congress (IMPC 2006) | 2005

Prediction of hydrocyclone performance in iron ore beneficiation using texture classification

E. Donskoi; S.P. Suthers; J.J. Campbell; T.D. Raynlyn; John Clout


Isij International | 2004

Improving the Oxidizing Kinetics of Pelletization of Magnetite Concentrate by High Press Roll Grinding

Guanzhou Qiu; Deqing Zhu; Jian Pan; Changan Wang; Yufeng Guo; Tao Jiang; Chenfan Hu; John Clout; Fanhua Shu


Minerals Engineering | 2016

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

E. Donskoi; A. Poliakov; Ralph J. Holmes; S.P. Suthers; Natalie Ware; James Manuel; John Clout


Archive | 1998

Particulate material separation

John Clout; Maureen Teresa O'connor


Archive | 1997

Dry physical separation of particulate material

Maureen Teresa O'connor; John Clout; John Francis Gannon; Keith Russell Weller

Collaboration


Dive into the John Clout's collaboration.

Top Co-Authors

Avatar

E. Donskoi

Commonwealth Scientific and Industrial Research Organisation

View shared research outputs
Top Co-Authors

Avatar

James Manuel

Commonwealth Scientific and Industrial Research Organisation

View shared research outputs
Top Co-Authors

Avatar

S.P. Suthers

Commonwealth Scientific and Industrial Research Organisation

View shared research outputs
Top Co-Authors

Avatar

Deqing Zhu

Commonwealth Scientific and Industrial Research Organisation

View shared research outputs
Top Co-Authors

Avatar

J.J. Campbell

Commonwealth Scientific and Industrial Research Organisation

View shared research outputs
Top Co-Authors

Avatar

Maureen Teresa O'connor

Commonwealth Scientific and Industrial Research Organisation

View shared research outputs
Top Co-Authors

Avatar

T.D. Raynlyn

Commonwealth Scientific and Industrial Research Organisation

View shared research outputs
Top Co-Authors

Avatar

Changan Wang

Central South University

View shared research outputs
Top Co-Authors

Avatar

Guanzhou Qiu

Central South University

View shared research outputs
Top Co-Authors

Avatar

Jian Pan

Central South University

View shared research outputs
Researchain Logo
Decentralizing Knowledge