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Analysis and optimization of cone crusher performance / Dong Gang in Minerals engineering, Vol. 22 N° 12 (Octobre 2009) 

Public ISBD [article]  in Minerals engineering > Vol. 22 N° 12 (Octobre 2009) . - pp. 1091–1093 Titre : Analysis and optimization of cone crusher performance Type de document : texte imprimé Auteurs : Dong Gang, Auteur ; Fan Xiumin, Auteur ; Huang Dongming, Auteur Année de publication : 2009 Article en page(s) : pp. 1091–1093 Note générale : Génie Minier Langues : Anglais (eng) Mots-clés : Crushing  Mineral  processing  Modelling  Classification  Particle  size Résumé : Solving practical problems in cone crusher design, the quantity of rock material falling out of the crushing chamber during one eccentric rotation of the cone was analyzed. A simple and practical model for predicting cone crusher output is proposed. Based on previous research a model able to directly calculate the mass percentage of flakiness in the product has been obtained and a method of analysing the variation of the flakiness percentage in the process of crushing is proposed. Taking the output prediction model as an objective function, and the size reduction model and flakiness prediction model as constraints, optimization of the cone crusher has been achieved. The validity of this optimization was verified via full-scale testing. This work will prove useful for developing further cone crusher improvement strategies. DEWEY : 622 ISSN : 0892-6875 En ligne : http://www.sciencedirect.com/science/article/pii/S0892687509001058 [article] Analysis and optimization of cone crusher performance [texte imprimé] / Dong Gang, Auteur ; Fan Xiumin, Auteur ; Huang Dongming, Auteur . - 2009 . - pp. 1091–1093. Génie Minier Langues : Anglais (eng) in Minerals engineering > Vol. 22 N° 12 (Octobre 2009) . - pp. 1091–1093 Mots-clés : Crushing  Mineral  processing  Modelling  Classification  Particle  size Résumé : Solving practical problems in cone crusher design, the quantity of rock material falling out of the crushing chamber during one eccentric rotation of the cone was analyzed. A simple and practical model for predicting cone crusher output is proposed. Based on previous research a model able to directly calculate the mass percentage of flakiness in the product has been obtained and a method of analysing the variation of the flakiness percentage in the process of crushing is proposed. Taking the output prediction model as an objective function, and the size reduction model and flakiness prediction model as constraints, optimization of the cone crusher has been achieved. The validity of this optimization was verified via full-scale testing. This work will prove useful for developing further cone crusher improvement strategies. DEWEY : 622 ISSN : 0892-6875 En ligne : http://www.sciencedirect.com/science/article/pii/S0892687509001058