Cone crusher optimization based on quality control and prediction

被引：0

作者：

Dong G. ^{[1
]}

Fan X. ^{[1
,2
]}

Huang D. ^{[1
]}

机构：

[1] School of Mechanical Engineering, Shanghai Jiaotong University

[2] State Key Laboratory of Mechanical System and Vibration, Shanghai Jiaotong University

来源：

Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2010年 / 46卷 / 03期

关键词：

Cone crusher; Flakiness index; Optimization model; Productivity; Quality control and prediction; Size distribution;

D O I：

10.3901/JME.2010.03.152

中图分类号：

学科分类号：

摘要：

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. © 2010 Journal of Mechanical Engineering.

引用

页码：152 / 157

页数：5

共 6 条

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