Rapid Identification of Liquid Steel Temperature in Tundish Based on Blackbody Cavity Sensor

IF 1.6 4区 材料科学 Q2 METALLURGY & METALLURGICAL ENGINEERING
Jiaocheng Ma, Linghui Meng, Zhendong Liu, Xin Zhao
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引用次数: 0

Abstract

In the continuous casting process, the temperature of liquid steel in tundish determines the casting speed and secondary cooling conditions, and then influences the billet quality. It's very important to measure the temperature of liquid steel in tundish quickly and accurately. However, the initial response lag of blackbody cavity sensor is inevitable since the time is required for the sensor inner wall and the liquid steel reaching thermal equilibrium by heat transfer. In this paper, in order to eliminate the initial response lag of sensor, a heat transfer model of sensor is established. The heat transfer characteristics and cavity integral emissivity of sensor with different depths immersed into liquid steel are analyzed. The analytical solution of sensor temperature is derived by separation of variables method and superposition principle, and is verified by the actual temperature measurement data. Then an innovative method of liquid steel temperature rapid identification is deduced and validated by the actual measurement data. The results show that the initial response lag of sensor is greatly shortened and the temperature measurement efficiency is improved. This study provides a theoretical method for improving the initial response speed of sensor.

基于黑体空腔传感器快速识别钢包中的液态钢温度
在连铸过程中,中间包内钢液的温度决定了浇铸速度和二次冷却条件,进而影响钢坯质量。快速、准确地测量连铸机中钢液的温度非常重要。然而,黑体空腔传感器的初始响应滞后是不可避免的,因为传感器内壁和钢液通过热传导达到热平衡需要一定的时间。为了消除传感器的初始响应滞后,本文建立了传感器的传热模型。分析了传感器浸入钢液不同深度时的传热特性和腔体积分发射率。通过变量分离法和叠加原理得出了传感器温度的解析解,并通过实际温度测量数据进行了验证。然后推导出一种创新的液态钢温度快速识别方法,并通过实际测量数据进行了验证。结果表明,传感器的初始响应滞后大大缩短,温度测量效率得到提高。本研究为提高传感器的初始响应速度提供了一种理论方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Isij International
Isij International 工程技术-冶金工程
CiteScore
3.40
自引率
16.70%
发文量
268
审稿时长
2.6 months
期刊介绍: The journal provides an international medium for the publication of fundamental and technological aspects of the properties, structure, characterization and modeling, processing, fabrication, and environmental issues of iron and steel, along with related engineering materials.
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