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Détail de l'auteur
Auteur Erik Hulthén
Documents disponibles écrits par cet auteur
Affiner la rechercheAlgorithm for dynamic cone crusher control / Erik Hulthén in Minerals engineering, Vol. 22 N° 3 (Fevrier 2009)
[article]
in Minerals engineering > Vol. 22 N° 3 (Fevrier 2009) . - pp. 296–303
Titre : Algorithm for dynamic cone crusher control Type de document : texte imprimé Auteurs : Erik Hulthén, Auteur ; C. Magnus Evertsson, Auteur Année de publication : 2009 Article en page(s) : pp. 296–303 Note générale : Génie Minier Langues : Anglais (eng) Mots-clés : Crushing Process control Process optimisation On-line analysis Process instrumentation Index. décimale : 622 Industrie minière Résumé : Cone crushers are used in the mineral, mining, and aggregate industry for fragmentation of rock materials. Control systems for cone crusher settings are widely used for compensating for wear and protecting the machines from high pressure. However, these systems focus on the crusher and not the crushed products.
By applying measurement devices on the process the crusher can be run optimally from the saleable products point of view (unlike most existing systems which only protect the machine) in each time. The measurement devices can be mass flow meters, e.g. conveyor belt scales. To analyze data from the process and convert them to a desired CSS value, an algorithm was developed.
The developed algorithm is tested and evolved at a real crushing plant for aggregates. The algorithm was loaded into a computer which could communicate with the crusher control system, read data from three mass flow meters, and also interact with the operators. The computer was reachable over the Internet by the researchers at Chalmers and the algorithm was tuned and improved on-line.
The result is an algorithm which was capable of providing CSS set-points to the automatic setting regulation system. The amount of saleable product from the crushing stage improved 3.5%, when not limited by the hydraulic pressure, compared to when a fixed closed side setting is used. The use of the algorithm automatically compensates for changes in the feed material and it also decreases the need for calibration of the underlying system.DEWEY : 622 ISSN : 0892-6875 En ligne : http://www.sciencedirect.com/science/article/pii/S0892687508002070 [article] Algorithm for dynamic cone crusher control [texte imprimé] / Erik Hulthén, Auteur ; C. Magnus Evertsson, Auteur . - 2009 . - pp. 296–303.
Génie Minier
Langues : Anglais (eng)
in Minerals engineering > Vol. 22 N° 3 (Fevrier 2009) . - pp. 296–303
Mots-clés : Crushing Process control Process optimisation On-line analysis Process instrumentation Index. décimale : 622 Industrie minière Résumé : Cone crushers are used in the mineral, mining, and aggregate industry for fragmentation of rock materials. Control systems for cone crusher settings are widely used for compensating for wear and protecting the machines from high pressure. However, these systems focus on the crusher and not the crushed products.
By applying measurement devices on the process the crusher can be run optimally from the saleable products point of view (unlike most existing systems which only protect the machine) in each time. The measurement devices can be mass flow meters, e.g. conveyor belt scales. To analyze data from the process and convert them to a desired CSS value, an algorithm was developed.
The developed algorithm is tested and evolved at a real crushing plant for aggregates. The algorithm was loaded into a computer which could communicate with the crusher control system, read data from three mass flow meters, and also interact with the operators. The computer was reachable over the Internet by the researchers at Chalmers and the algorithm was tuned and improved on-line.
The result is an algorithm which was capable of providing CSS set-points to the automatic setting regulation system. The amount of saleable product from the crushing stage improved 3.5%, when not limited by the hydraulic pressure, compared to when a fixed closed side setting is used. The use of the algorithm automatically compensates for changes in the feed material and it also decreases the need for calibration of the underlying system.DEWEY : 622 ISSN : 0892-6875 En ligne : http://www.sciencedirect.com/science/article/pii/S0892687508002070