Control of Dynamic Secondary Cooling Process for Vertical-Bending 220 mm x 220 mm Casting Bloom of Austenite Stainless Steel

杜辰伟; 李聿军; 张家泉; 田观清; 吕龙厅; 郑新国; 李靖宇

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Control of Dynamic Secondary Cooling Process for Vertical-Bending 220 mm x 220 mm Casting Bloom of Austenite Stainless Steel

更新时间：2026-01-21

- Control of Dynamic Secondary Cooling Process for Vertical-Bending 220 mm x 220 mm Casting Bloom of Austenite Stainless Steel
- Special Steel Vol. 36, Issue 6, Pages: 26-29(2015)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Received：08 June 2015，
  
  Online First：12 August 2022，
  
  Published：12 August 2015
- 稿件说明：
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杜辰伟, 李聿军, 张家泉, et al. 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.
DOI：

杜辰伟, 李聿军, 张家泉, et al. 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. DOI：

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。

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

Ⅲ section 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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