Adaptive and Intelligent Control of Cone Crushers

The Australasian Institute of Mining and Metallurgy
Bearman R. A Parkin R. M
Organization:
The Australasian Institute of Mining and Metallurgy
Pages:
6
File Size:
789 KB
Publication Date:
Jan 1, 1995

Abstract

In the comminution industry cone crushers are widely used for secondary and subsequent stages of size reduction. Traditionally cone crushers have been operated and monitored manually. Alteration of discharge setting is now commonly achieved via hydraulic means, however, compensation of liner wear can still involve plant shutdown and loss of production. Drift in discharge setting due to liner wear is still a major problem that must be addressed to improve product quality, consistency and reduce recirculating load. The continuous demand for better quality products and the high cost of reprocessing or discarding unsaleable material, highlights the need for re-examination of the technology associated with the crushers to ensure optimum control and system efficiency. A collaborative project between Pegson Ltd, one of the leading UK manufacturers of jaw and cone crushers, De Montfort University Leicester, and Transfer Technology plc was established to address the technological requirement for automation of the control of cone crushers. The machine chosen for the study is a 900 Autocone cone crusher manufactured by Pegson Ltd. The design philosophy is based on a mechatronic approach providing a complete solution through a distributed network of intelligent sensors, artificial intelligence technology and adaptive control. The modular design of the system ensures a progressive sophistication in technology that allows the automation to be phased in as required. This will ensure maximum benefits to all sectors of the aggregate industry. It is estimated that the automation will result in savings of around ten per cent. The savings will result from minimising the production of unsaleable products by reliable condition monitoring and automation of the control and maintenance of system parameters to optimise system efficiency. Extension of the methods and principles into the mining sector is anticipated. The control over the size of crusher product will offer great benefits to the mining industry with significant implications for subsequent milling and beneficiation processes.
Citation

APA: Bearman R. A Parkin R. M  (1995)  Adaptive and Intelligent Control of Cone Crushers

MLA: Bearman R. A Parkin R. M Adaptive and Intelligent Control of Cone Crushers. The Australasian Institute of Mining and Metallurgy, 1995.

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