- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- 【Updated on June 30, 2025】Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
A model to predict coil temperature evolution during the whole thermal cycle process of ladle with a novel steel teeming technology
-
- HE Ming
- Key Laboratory of Electromagnetic Processing of Materials (Ministry of Education), Northeastern University
-
- WANG Lianyu
- School of Metallurgy, Northeastern University
-
- LI Yonglin
- State Key Laboratory of Rolling and Automation, Northeastern University
-
- ZHAO Lijia
- Key Laboratory of Electromagnetic Processing of Materials (Ministry of Education), Northeastern University
-
- JIANG Zhouhua
- School of Metallurgy, Northeastern University
-
- WANG Qiang
- Key Laboratory of Electromagnetic Processing of Materials (Ministry of Education), Northeastern University
Description
<p>Electromagnetic induction controlled automated steel teeming (EICAST) is a ladle-sand-free technology applied to the steel teeming process for clean steel practice. The temperature of the induction coil in the EICAST system greatly influence its service life. In this paper, a numerical model was developed to predict the temperature evolution of the induction coil without or with a nano thermal insulation felt (WDS) during the whole thermal cycle of ladle. Industrial experiment was conducted for the model validation. The results indicate that WDS reduces the coil temperature at the ladle baking and secondary refining stages, however it causes a rapid jump in the coil temperature from 309°C to 707°C during the induction heating process. Because the coil temperature is high enough compared to its ambient temperature after the induction heating stage, the temperature of the induction coil using WDS heat insulation material drops to 461°C constantly at the steel teeming stage. The measured temperatures of the nozzle brick and coil in the industrial experiment correspond well with the calculated ones by numerical simulation. The developed model could be used to predict the coil temperature evolution and improve coil cooling strategy at each stage of the whole thermal cycle process of ladle for the industrial application.</p>
Journal
-
- Journal of Thermal Science and Technology
-
Journal of Thermal Science and Technology 17 (3), 22-00259-22-00259, 2022
The Japan Society of Mechanical Engineers and The Heat Transfer Society of Japan
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390012711622819200
-
- ISSN
- 18805566
-
- Text Lang
- en
-
- Data Source
-
- JaLC
- Crossref
-
- Abstract License Flag
- Disallowed