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立弯式奥氏体不锈钢220 mmx220 mm铸坯动态二冷控制和应用
引用本文:杜辰伟,李聿军,张家泉,田观清,吕龙厅,郑新国,李靖宇. 立弯式奥氏体不锈钢220 mmx220 mm铸坯动态二冷控制和应用[J]. 特殊钢, 2015, 36(6): 26-29
作者姓名:杜辰伟  李聿军  张家泉  田观清  吕龙厅  郑新国  李靖宇
作者单位:1北京科技大学冶金与生态工程学院,北京100083 ;2上海新中冶金设备厂,上海201803;3山西太钢不锈钢股份有限公司炼钢一厂,太原030003
基金项目:钢铁冶金新技术国家重点实验室资助项目
摘    要:根据奥氏体不锈钢的热物理参数和二冷区各区出口目标温度,建立了不锈钢220mm×220 mm铸坯动态二冷综合控制模型和末端拉速电磁搅拌-拉速优化模型。304奥氏体不锈钢连铸生产应用结果表明,在该钢正常工作拉速0.8~1.1 m/min,根据目标温度(足辊1080℃,一区1 070℃,二区1060℃,三区1045℃,进拉矫机980℃)制定相应比水量(0.30~0.33 L/kg),模型实时计算表面温度与目标温度对比,进行在线控制,铸坯温度均匀、稳定,冶金质量良好。

关 键 词:奥氏体不锈钢  220mmX220mm坯  立弯式连铸  动态二冷控制  模型  应用  
收稿时间:2015-06-08

Control of Dynamic Secondary Cooling Process for Vertical-Bending 220 mm x 220 mm Casting Bloom of Austenite Stainless Steel
Du Chenwei,Li Yujun,Zhang Jiaquan,Tian Guanqing,Lii Longting,Zheng Xinguo,Li Jingyu. Control of Dynamic Secondary Cooling Process for Vertical-Bending 220 mm x 220 mm Casting Bloom of Austenite Stainless Steel[J]. Special Steel, 2015, 36(6): 26-29
Authors:Du Chenwei  Li Yujun  Zhang Jiaquan  Tian Guanqing  Lii Longting  Zheng Xinguo  Li Jingyu
Affiliation:1 School of Metallurgical and Ecological Engineering, University of Science and Technology, Beijing 100083 ;2 Shanghai Xinzhong Metallurgical Equipment Factory, Shanghai 201803 ;3 No.1 Steelmaking Works, Shanxi Taigang Stainless Steel Co Ltd, Taiyuan 030003
Abstract:According to thermal physical parameters of austenite stainless steel and aim temperature at outlet of each section of secondary cooling area, the comprehensive control model for dynamic secondary cooling process of 220 mm X 220 mm casting bloom of stainless steel and the end electromagnetic stirring-casing speed optimized model have been established. The application results of casting production of 304 austenite stainless steel show that at normal casting speed 0.8-1.1 m/min for the steel, according to aim temperature (foot rolls 1080 ℃,Ⅰ section 1070 ℃, Ⅱ section 1060 °C,Ⅲsection 1045 °C and entering straightening machine 980 ℃ ) to defining corresponding water rate (0.30-0.33 L/kg), the secondary cooling process is controlled based on comparison between calculated surface temperature by model in time and aim temperature value, as a results the temperature of casting bloom is even and stable with nice metallurgical quality.
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