Scholarlink

Reasonable connection between continuous castingContinuous casting and hot rollingHot rolling can effectively improve steel production efficiency and reduce energy consumption. In this paper, a hot rolling unit planningHot rolling unit planning method based on casting and rolling interface coordination is proposed to solve the problem that the hot charge rate is difficult to increase due to the lack of casting and rolling interface coordination. In order to improve the hot charging rate and plan quality of hot rollingHot rolling units, hot rollingHot rolling slab is preferred. An integer programming modelInteger programming model aiming at minimizing billet size penalty, logistics time, and maximum rolling weight was established. A multi-objective genetic algorithm combining adaptive optimizationOptimizations and adjustment strategies was designed to solve the problem. The model is tested and validated by using industrial performance data. The results show that compared with the whole method, the proposed model improves the planning quality, size, and residence time of hot rollingHot rolling units by 5.23%.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A Multi-objective Hot Rolling Unit Scheduling Method Integrated with Casting-Rolling Coordination Optimization

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Yongjie Yang,
  • Yongzhou Wang,
  • Zhong Zheng,
  • Liang Guo,
  • Xiaoqiang Gao,
  • Xueying Liu,
  • Ying Wang

摘要

Reasonable connection between continuous castingContinuous casting and hot rollingHot rolling can effectively improve steel production efficiency and reduce energy consumption. In this paper, a hot rolling unit planningHot rolling unit planning method based on casting and rolling interface coordination is proposed to solve the problem that the hot charge rate is difficult to increase due to the lack of casting and rolling interface coordination. In order to improve the hot charging rate and plan quality of hot rollingHot rolling units, hot rollingHot rolling slab is preferred. An integer programming modelInteger programming model aiming at minimizing billet size penalty, logistics time, and maximum rolling weight was established. A multi-objective genetic algorithm combining adaptive optimizationOptimizations and adjustment strategies was designed to solve the problem. The model is tested and validated by using industrial performance data. The results show that compared with the whole method, the proposed model improves the planning quality, size, and residence time of hot rollingHot rolling units by 5.23%.