• CN:11-2187/TH
  • ISSN:0577-6686

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

• 论文 • 上一篇    下一篇

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基于产品质量控制预测机制的圆锥破碎机优化方法

董钢;范秀敏;黄东明   

  1. 上海交通大学机械与动力工程学院;上海交通大学机械系统与振动国家重点实验室
  • 发布日期:2010-02-05

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

摘要: 结合圆锥破碎机设计研发过程中所存在的实际问题,通过分析圆锥破碎机动锥单次摆动过程中下落物料的总量,推导并建立针对曲线腔形圆锥破碎机的生产率计算模型;基于总体平衡理论,对圆锥破碎机破碎腔分层情况加以分析,深入研究破碎产品粒度分布情况及其计算方法;将用于描述破碎产品粒形情况的经验模型与粒度预测模型相结合,建立基于粒度分布情况的破碎产品针片率预测模型。建立起基于质量控制预测机制的圆锥破碎机优化设计模型,并分析圆锥破碎机结构参数、工作参数对于圆锥破碎机生产率,以及破碎产品质量影响情况,为研制开发高效、节能的新型圆锥破碎机提供理论依据。

关键词: 粒度分布, 生产率, 优化模型, 圆锥破碎机, 针片率, 质量控制预测

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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