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Open AccessArticle

Prediction of Cone Crusher Performance Considering Liner Wear

by Yanjun Ma 1, Xiumin Fan 1,2,* and Qichang He 1
1
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
2
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China
*
Author to whom correspondence should be addressed.
Academic Editor: César M. A. Vasques
Appl. Sci. 2016, 6(12), 404; https://doi.org/10.3390/app6120404
Received: 26 September 2016 / Revised: 21 November 2016 / Accepted: 29 November 2016 / Published: 3 December 2016
Cone crushers are used in the aggregates and mining industries to crush rock material. The pressure on cone crusher liners is the key factor that influences the hydraulic pressure, power draw and liner wear. In order to dynamically analyze and calculate cone crusher performance along with liner wear, a series of experiments are performed to obtain the crushed rock material samples from a crushing plant at different time intervals. In this study, piston die tests are carried out and a model relating compression coefficient, compression ratio and particle size distribution to a corresponding pressure is presented. On this basis, a new wear prediction model is proposed combining the empirical model for predicting liner wear with time parameter. A simple and practical model, based on the wear model and interparticle breakage, is presented for calculating compression ratio of each crushing zone along with liner wear. Furthermore, the size distribution of the product is calculated based on existing size reduction process model. A method of analysis of product size distribution and shape in the crushing process considering liner wear is proposed. Finally, the validity of the wear model is verified via testing. The result shows that there is a significant improvement of the prediction of cone crusher performance considering liner wear as compared to the previous model. View Full-Text
Keywords: cone crusher; wear; modelling; crushing; size reduction cone crusher; wear; modelling; crushing; size reduction
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Ma, Y.; Fan, X.; He, Q. Prediction of Cone Crusher Performance Considering Liner Wear. Appl. Sci. 2016, 6, 404.

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