应用遗传算法求解AOD全铁水冶炼和电炉钢水冶炼不锈钢混合流程的最优调度问题  

Applying Genetic Algorithm for Solving the Scheduling Problem of Stainless Steel Smelting Hybrid Process Combined All Hot Metal in AOD With Molten Steel in EAF

作　　者：冯凯[1] 汪红兵[2] 田乃媛[1] 贺东风[1] 徐安军[1] 

机构地区：[1]北京科技大学高效钢铁冶金国家重点实验室,北京100083 [2]北京科技大学计算机与通信工程学院,北京100083

出　　处：《钢铁研究学报》2012年第2期21-23,43,共4页Journal of Iron and Steel Research

基　　金："十一五"国家科技支撑计划重大项目(2006BAE03A07)

摘　　要：研究了AOD全铁水冶炼和电炉钢水冶炼两种不锈钢冶炼流程,结果表明,AOD全铁水冶炼不锈钢可以弥补电炉钢水冶炼流程中电炉产能小于连铸产能的缺陷。提出了一种结合AOD全铁水冶炼和电炉钢水冶炼的混合流程。提出了各个工序间钢包最长传搁时间最短为调度目标是更加合理的调度方式,应用遗传算法求解混合流程最长钢包传搁时间最小为60min,小于单纯以连铸机为中心的组织生产调度,既保证了钢包正常的运输,又有足够的时间进行必要的调度和调整。最后,给出混合流程最优调度的甘特图,并基于最优调度并采用统计分析的方法得出工序间传搁过程温降的经验公式,由此给出混合流程最优调度的温度制度。The optimized scheduling about both all hot metal in AOD and molten steel in EAF stainless steel smel ting process was investigated. The results show that the deficiency of the longer tap to tap time of EAF in the flow with molten steel in EAF can be solved by introducing the flow with all hot metal in AOD. The stainless steel smelting hybrid flow combined all hot metal in AOD with molten steel in EAF was provided. The optimized sched uling aiming at the longest ladle track time between production processes minimizing was proposed. The longest ladle track time between production processes for a minimum of 60 min was calculated by using the genetic algo-rithm and less than the time of the production scheduling as the center of continuous casting. The conventional ladle track time was ensured and regulated with enough time. The Gantt chart of optimized scheduling about the hy- brid flow was proposed. The temperature schedule was given based on the temperature decrease empirical formula.

关 键 词：遗传算法 混合流程 最优调度 甘特图 

分 类 号：TF764.1[冶金工程—钢铁冶金]