微粉生产过程中磨机进出口温度多目标优化
Multi-objective optimization of mill inlet and outlet temperature in slag powder production process
摘要点击 81  全文点击 106  投稿时间:2018-10-10  修订日期:2019-05-08
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DOI编号  10.7641/CTA.2019.80779
  2020,37(2):275-282
中文关键词  微粉  环保  温度  多目标优化  设定值  可行解
英文关键词  slag powder  environmentally  temperature  multi-objective optimization  set value  feasible solution
基金项目  国家自然科学基金项目,国家重点研发计划项目,北京市科技重大专项项目
学科分类代码  
作者单位E-mail
李晓理 北京工业大学 lixiaolibjut@bjut.edu.cn 
高杰 北京工业大学  
王康 北京工业大学  
中文摘要
      微粉是钢铁废渣经过研磨后所形成的一种粉末,是一种高效且环保的建筑材料添加剂。在微粉生产过程中磨机进出口温度之间存在正相关的关系,但在正常工况下进口温度的升高将有助于提高产量,而出口温度的降低却有利于保证生产的安全性,因此温度设定值的求解将是一个多目标优化问题,较难获得最优值。从实际生产工况出发,采用非支配排序遗传算法II、多目标粒子群优化算法和多目标灰狼优化算法多种多目标优化算法求解此问题,并进行对比分析获得最优可行解集。优化后得到的解集能更好的为温度的设定提供参考,从而提升产量与生产的安全。
英文摘要
      The slag powder is a kind of powder formed by grinding iron and steel waste slag, and it is an efficient and environmentally additive for building materials. There is a positive correlation between the inlet and outlet temperatures of the mill during the production of the slag powder, but the increase in the inlet temperature under normal conditions will help to increase the yield, while the decrease in the outlet temperature will help to ensure the safety of the production. Therefore, the solution of the temperature set value will be a multi-objective optimization problem, and it is difficult to obtain the optimal value. Starting from the actual production conditions, multi-objective optimization algorithms based on non-dominated sorting genetic algorithm II, multi-objective particle swarm optimization algorithm and multi-objective grey wolf optimization algorithm are used to solve this problem, and the optimal feasible solution set is obtained by comparative analysis. The optimized solution set can provide a better reference for temperature setting, thereby improving yield and production safety.