Wanying Zhu, Yupeng Li, Liangliang Sun, T. Hou, Song Bai, Baolong Yuan, Languang Zhao
{"title":"Research on Batch Planning Method of Steelmaking-Continuous Casting Tundish","authors":"Wanying Zhu, Yupeng Li, Liangliang Sun, T. Hou, Song Bai, Baolong Yuan, Languang Zhao","doi":"10.1109/IAI53119.2021.9619329","DOIUrl":null,"url":null,"abstract":"The batch plan of the tundish takes over the charge plan, distributes the charges to obtain the result of the tundish preparation, and then starts the casting plan. It has played a transitional role in the steelmaking-continuous casting batch plan, and formulating a reasonable tundish plan is of great significance to the steel manufacturing industry. This paper establishes a mathematical model from the perspective of reducing energy consumption, improving the efficiency of the tundish and meeting the capacity of production equipment. The optimization goals of this mathematical model are “minimize the number of charges not incorporated into the tundish”, “minimize the remaining service life of the tundish” and “minimize the difference between the total number of charges, the weight of each flow direction, the weight of ironing roller materials, the total number of RH-refining charges and the target value”. Then an augmented Lagrangian relaxation algorithm based on linearized tundish decomposition strategy is used to solve the tundish batch planning problem. Finally, based on the MATLAB simulation platform, a simulation experiment was carried out on the actual production data of a large domestic steel enterprise, and the effectiveness of the mathematical model established in this paper and the solution strategy adopted by the comparison experiment was verified, and then the feasibility of this research for the tundish planning problem was demonstrated.","PeriodicalId":106675,"journal":{"name":"2021 3rd International Conference on Industrial Artificial Intelligence (IAI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Industrial Artificial Intelligence (IAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAI53119.2021.9619329","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The batch plan of the tundish takes over the charge plan, distributes the charges to obtain the result of the tundish preparation, and then starts the casting plan. It has played a transitional role in the steelmaking-continuous casting batch plan, and formulating a reasonable tundish plan is of great significance to the steel manufacturing industry. This paper establishes a mathematical model from the perspective of reducing energy consumption, improving the efficiency of the tundish and meeting the capacity of production equipment. The optimization goals of this mathematical model are “minimize the number of charges not incorporated into the tundish”, “minimize the remaining service life of the tundish” and “minimize the difference between the total number of charges, the weight of each flow direction, the weight of ironing roller materials, the total number of RH-refining charges and the target value”. Then an augmented Lagrangian relaxation algorithm based on linearized tundish decomposition strategy is used to solve the tundish batch planning problem. Finally, based on the MATLAB simulation platform, a simulation experiment was carried out on the actual production data of a large domestic steel enterprise, and the effectiveness of the mathematical model established in this paper and the solution strategy adopted by the comparison experiment was verified, and then the feasibility of this research for the tundish planning problem was demonstrated.