Industrial Engineering Journal ›› 2016, Vol. 19 ›› Issue (3): 130-137.

Previous Articles    

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

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