CHEN Shuisheng¹，CHEN Qian¹，DENG Hui¹，WU Zhuan²

(1.School of Mechanical Engineering, Hubei University of Technology，Wuhan 430068，China；2. Hubei Institute of Geological Prospecting Equipment，Wuhan 430022，China)

Abstract: In order to optimize the grinding process of the roller rod mill, the main factors affecting the grinding performance were selected. The dimensional analysis method was used to describe the grinding characteristics. Combined with the experimental data, a multi-objective optimization model of the grinding process was established. The algorithm solves the Pareto solution set, and uses the TOPSIS method to find the optimal solution of many targets, and analyzes the results. The results show that after multi-objective optimization, the rod mill yield is increased by 5.46%, the energy utilization rate is increased by 5.04%, and the homogenization index of the grinding product is increased by 1.088, which effectively improves the overall performance of the roller rod mill.

Keywords: roll bar mill; comprehensive performance; genetic algorithm; multi-objective optimization

中图分类号：TD453

文献标志码：A

收稿日期： 2018-10-15，修回日期：2019-01-11，在线出版时间：2019-01-15 09:38。

基金项目：湖北省地质局基金资助项目，编号：KJ2017-26。

第一作者简介：陈水胜(1969—)，男，硕士，副教授，硕士生导师，研究方向为机械设计制造及其自动化。E-mail:cssg@163.com。

通信作者简介：陈骞(1993—)，男，硕士研究生，研究方向为机械设计制造及其自动化。E-mail:1418368152@qq.com。