工业工程

工业工程 ›› 2016, Vol. 19 ›› Issue (3): 130-137.

• 实践与应用 • 上一篇    

基于多目标混料设计的重介质旋流器混料成分配比

  

  1. 山东科技大学 矿业与安全工程学院，山东 青岛 266590
  • 出版日期:2016-06-30 发布日期:2016-08-31
  • 作者简介:袁清和(1968-)，男，河北省人，教授，博士，主要研究方向为工业工程、资源经济与管理和矿业系统工程.

A Study of the Ratio of Components of Mixing Material of Dense Medium Cyclone Based on Multi-objective Mixture Design

  1. Mining and Safety Engineering College, Shandong University of Science and Technology, Qingdao 266590, China
  • Online:2016-06-30 Published:2016-08-31

摘要：

为了准确掌握重介质旋流器各混料成分之间的配比关系，明确不同配比对旋流器产出质量和产量的影响，实现分选效果的最优化.分析了现有旋流器优化和混料配比研究的不足，探讨了采用混料设计方法解决上述问题的可行性和局限性。通过设计混料试验，运行试验得到试验结果，建立混料成分与各响应变量的数学模型，分析模型的有效性，以各响应变量的同时最佳为综合约束条件进行响应优化，通过求解苛求函数复合合意度最高时的各参数值，确定各混料成分的最优配比，并通过T假设检验验证试验结果用于生产的有效性。结合某选煤厂旋流器生产运行情况，明确旋流器中块煤、悬浮液和煤泥各混料的水平要求，采用极端顶点法设计混料试验并运行试验，建立三因子与精煤灰分和产率两个响应变量之间的回归模型，分析两响应变量同时最佳条件下最优的混料配比，得到三混料成分配比依次为15.5%、59.8%、24.7%，依据上述配比进行试生产，并采用T检验验证试验结果是有效的，从而为选煤厂高效生产和精确控制提供有效的支撑，也为后期实现自动化控制提供了可能。

关键词: 混料设计, 重介质旋流器, 多目标优化, 混料配比, 假设检验

Abstract:

In order to know accurately the ratio of components of mixing material of dense medium cyclone, and to understand the influence of different ratio to the output of dense medium cyclone and to optimize the separation effect, the limitations of the existing research on cyclone optimization and ratio of mixing material are analyzed and the feasibility and problem of using mixture design to achieve the above goals is discussed. By designing experiment of mixture, and running the experiment to get the result, the mathematical model of response variables and components of mixing material is fitted and analyzed and the effectiveness of the model analyzed. And the response is optimized with all response variables optimal. Through solving the parameters of the composite purpose for most demanding function value, multiobjective optimization of mixture design is realized and the optimal ratio of components of mixing material is determined. The effectiveness of the experiment is tested by practical production effect. Based on the requirement of lump coal, suspension and slime of dense medium cyclone in a coal preparation plant, mixture experiment is designed and run through extreme vertex design. The mathematical model of two response variables, which are concentrate ash and yield, and three factors which are lump coal, suspension and slime, is established to analyze the optimal ratio of components of mixing material under the condition that two objectives are achieved. The ratio of components of mixing material is 15.5%, 59.8% and 24.7%. The effectiveness is tested by Ttesting. The experiment and analysis provide effective support to the efficient production and accurate control of coal preparation plant and can help the realization of automatic control.

Key words: mixture design, dense medium cyclone, multiobjective optimization, ratio of mixing material, hypothesis testing