• CN: 11-2187/TH
  • ISSN: 0577-6686

›› 2010, Vol. 46 ›› Issue (3): 152-157.

• Article • Previous Articles     Next Articles

Cone Crusher Optimization Based on Quality Control and Prediction

DONG Gang;FAN Xiumin;HUANG Dongming   

  1. School of Mechanical Engineering, Shanghai Jiao Tong University State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University
  • Published:2010-02-05

Abstract: In view of the solution to the practical problems existing in cone crusher design, the quantity of rock materiel falling out of the crushing chamber during once eccentric rotation of the cone is analyzed, the productivity model for cone crusher with curvilinear chamber geometry is proposed; based on the population balance theory, the division of crushing chamber is analyzed, the product size distribution and corresponding calculation method are researched; combining the empirical model for predicting particle shape with the size distribution model, the flakiness prediction model based on size distribution is proposed. The cone crusher optimization model based on quality control and prediction is built. And the influences of structural and working parameters of cone crusher on productivity and product quality are analyzed. All these tasks are useful for future cone crusher optimization strategies.

Key words: Cone crusher, Flakiness index, Optimization model, Productivity, Quality control and prediction, Size distribution

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