Adaptive and Intelligent Control of Cone Crushers
 
    
    - 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: (1995) Adaptive and Intelligent Control of Cone Crushers
MLA: Adaptive and Intelligent Control of Cone Crushers. The Australasian Institute of Mining and Metallurgy, 1995.
