Structure Modelling and Property Prediction for Mineral Engineering

International Mineral Processing Congress
Richard A. Williams Xiaodong Jia
Organization:
International Mineral Processing Congress
Pages:
1
File Size:
279 KB
Publication Date:
Jan 1, 2003

Abstract

"The packing of particles is a fundamental property of a material or system made up of particulates because it underlies many other physical properties of that material or system. Despite being ubiquitous, particle packing has not been an easy subject to study either experimentally or theoretically, except for a few regular shapes.This paper describes the recent developments, arising from research at Leeds, in the computer modelling of packing of complex shaped particles and prediction of physical properties of the structures represented by the packing. The computer model DigiPac, is capable of packing particles of any shapes and sizes in a container of arbitrary geometry. Figure 1 shows a few examples that are relevant to the mining and mineral industry.The ability to predict packing structure of real particle shapes and to compute directly some structuredependent physical properties (such as liquid permeability, mechanical strength/stability, compaction and sintering, dissolution and leaching, etc.) is obviously highly desirable and has significant potential in industrial applications. Examples are presented relating to the packing of granular materials.The mining and mineral engineering industries are well placed to exploit this advance in digital packing and simulation since they deal primarily with asymmetric and complex particulate mixtures. In the future we expect to see a number of developments in this area including:Algorithms that can optimise packing to achieve user-defined propertiesA more rational approach to determining flowability of complex powdersUse of these more realistic packing algorithms linked to blast and crusher design"
Citation

APA: Richard A. Williams Xiaodong Jia  (2003)  Structure Modelling and Property Prediction for Mineral Engineering

MLA: Richard A. Williams Xiaodong Jia Structure Modelling and Property Prediction for Mineral Engineering. International Mineral Processing Congress, 2003.

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