Temperature control strategy and simulation analysis of a walking beam reheating furnace
As a critical intermediate stage in the continuous casting and rolling process for bar production, the heating quality of a walking beam reheating furnace significantly affects billet shaping and the performance of the finished bars. To address issues such as uneven billet temperature distribution d...
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| Format: | Article |
| Language: | English |
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IOP Publishing
2025-01-01
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| Series: | Materials Research Express |
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| Online Access: | https://doi.org/10.1088/2053-1591/adec3e |
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| author | Xiaobo Qu Ruowei Li Caiyi Liu Silvia Barella Zhihao Ni Yang Liu Shuo Guo Shicheng Liang Sunrui Tao Yan Peng De Li Andrea Gruttadauria Marco Belfi Pietro Cetto Marawan Abdelwahed Carlo Mapelli |
| author_facet | Xiaobo Qu Ruowei Li Caiyi Liu Silvia Barella Zhihao Ni Yang Liu Shuo Guo Shicheng Liang Sunrui Tao Yan Peng De Li Andrea Gruttadauria Marco Belfi Pietro Cetto Marawan Abdelwahed Carlo Mapelli |
| author_sort | Xiaobo Qu |
| collection | DOAJ |
| description | As a critical intermediate stage in the continuous casting and rolling process for bar production, the heating quality of a walking beam reheating furnace significantly affects billet shaping and the performance of the finished bars. To address issues such as uneven billet temperature distribution during heating, which leads to non-uniform deformation resistance in the rolling process, causing bending deformation, excessive thermal stress, and the initiation of microcracks and propagation of inherited casting cracks, this study uses 20CrNiMoA steel billets as the research object. The temperature field distribution inside the walking beam reheating furnace was simulated with ABAQUS finite element software. The accuracy of the simulation results was verified through ‘black box’ experiments, which demonstrated that the simulation precision meets the standards required for industrial applications. On this basis, the study systematically investigated the effects of temperature and time parameter settings in different heating zones of the furnace on billet temperature distribution and stress evolution. The results show that increasing the charging temperature improves temperature distribution and peak stress during the preheating stage, while lower furnace temperatures during the preheating phase reduce excessive thermal stress, and optimal furnace settings in heating zone I and II enhance heating efficiency and uniformity. The findings provide theoretical foundations and data support for optimizing on-site production heating process parameters and improving billet heating quality. |
| format | Article |
| id | doaj-art-d532c327b46e43e190799d2e5d0b9e24 |
| institution | DOAJ |
| issn | 2053-1591 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Materials Research Express |
| spelling | doaj-art-d532c327b46e43e190799d2e5d0b9e242025-08-20T03:02:18ZengIOP PublishingMaterials Research Express2053-15912025-01-0112808650310.1088/2053-1591/adec3eTemperature control strategy and simulation analysis of a walking beam reheating furnaceXiaobo Qu0Ruowei Li1https://orcid.org/0009-0004-8685-5102Caiyi Liu2Silvia Barella3Zhihao Ni4Yang Liu5https://orcid.org/0000-0001-5080-2034Shuo Guo6Shicheng Liang7Sunrui Tao8Yan Peng9https://orcid.org/0000-0003-3679-3893De Li10Andrea Gruttadauria11Marco Belfi12https://orcid.org/0000-0002-7199-4458Pietro Cetto13Marawan Abdelwahed14Carlo Mapelli15State Key Laboratory of Crane Technology, Yanshan University , Qinhuangdao, 066004, People’s Republic of ChinaState Key Laboratory of Crane Technology, Yanshan University , Qinhuangdao, 066004, People’s Republic of China; Department of Mechanical Engineering, Politecnico di Milano, Milan 20156, ItalyState Key Laboratory of Crane Technology, Yanshan University , Qinhuangdao, 066004, People’s Republic of ChinaDepartment of Mechanical Engineering, Politecnico di Milano, Milan 20156, ItalyState Key Laboratory of Crane Technology, Yanshan University , Qinhuangdao, 066004, People’s Republic of ChinaJiangsu Yonggang Group Co., Ltd, Zhangjiagang, Jiangsu 215628, People’s Republic of ChinaState Key Laboratory of Crane Technology, Yanshan University , Qinhuangdao, 066004, People’s Republic of China; Department of Mechanical Engineering, Politecnico di Milano, Milan 20156, ItalyState Key Laboratory of Crane Technology, Yanshan University , Qinhuangdao, 066004, People’s Republic of ChinaState Key Laboratory of Crane Technology, Yanshan University , Qinhuangdao, 066004, People’s Republic of ChinaState Key Laboratory of Crane Technology, Yanshan University , Qinhuangdao, 066004, People’s Republic of ChinaState Key Laboratory of Crane Technology, Yanshan University , Qinhuangdao, 066004, People’s Republic of ChinaDepartment of Mechanical Engineering, Politecnico di Milano, Milan 20156, ItalyDepartment of Mechanical Engineering, Politecnico di Milano, Milan 20156, ItalyDepartment of Mechanical Engineering, Politecnico di Milano, Milan 20156, ItalyDepartment of Design and Production Engineering, Ain Shams University , Cairo, 11535, EgyptDepartment of Mechanical Engineering, Politecnico di Milano, Milan 20156, ItalyAs a critical intermediate stage in the continuous casting and rolling process for bar production, the heating quality of a walking beam reheating furnace significantly affects billet shaping and the performance of the finished bars. To address issues such as uneven billet temperature distribution during heating, which leads to non-uniform deformation resistance in the rolling process, causing bending deformation, excessive thermal stress, and the initiation of microcracks and propagation of inherited casting cracks, this study uses 20CrNiMoA steel billets as the research object. The temperature field distribution inside the walking beam reheating furnace was simulated with ABAQUS finite element software. The accuracy of the simulation results was verified through ‘black box’ experiments, which demonstrated that the simulation precision meets the standards required for industrial applications. On this basis, the study systematically investigated the effects of temperature and time parameter settings in different heating zones of the furnace on billet temperature distribution and stress evolution. The results show that increasing the charging temperature improves temperature distribution and peak stress during the preheating stage, while lower furnace temperatures during the preheating phase reduce excessive thermal stress, and optimal furnace settings in heating zone I and II enhance heating efficiency and uniformity. The findings provide theoretical foundations and data support for optimizing on-site production heating process parameters and improving billet heating quality.https://doi.org/10.1088/2053-1591/adec3ewalking beam reheating furnace20CrNiMoA steel billetfinite element simulationtemperature field distribution; stress evolution |
| spellingShingle | Xiaobo Qu Ruowei Li Caiyi Liu Silvia Barella Zhihao Ni Yang Liu Shuo Guo Shicheng Liang Sunrui Tao Yan Peng De Li Andrea Gruttadauria Marco Belfi Pietro Cetto Marawan Abdelwahed Carlo Mapelli Temperature control strategy and simulation analysis of a walking beam reheating furnace Materials Research Express walking beam reheating furnace 20CrNiMoA steel billet finite element simulation temperature field distribution; stress evolution |
| title | Temperature control strategy and simulation analysis of a walking beam reheating furnace |
| title_full | Temperature control strategy and simulation analysis of a walking beam reheating furnace |
| title_fullStr | Temperature control strategy and simulation analysis of a walking beam reheating furnace |
| title_full_unstemmed | Temperature control strategy and simulation analysis of a walking beam reheating furnace |
| title_short | Temperature control strategy and simulation analysis of a walking beam reheating furnace |
| title_sort | temperature control strategy and simulation analysis of a walking beam reheating furnace |
| topic | walking beam reheating furnace 20CrNiMoA steel billet finite element simulation temperature field distribution; stress evolution |
| url | https://doi.org/10.1088/2053-1591/adec3e |
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