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基体层流冷却过程中钢板传热特性的研究

A Study on the Heat Transfer Characteristics of Steel Plate in the Matrix Laminar Cooling Process.

作者信息

Xu Jing, Chen Guang, Bao Xiangjun, He Xin, Duan Qingyue

机构信息

School of Metallurgical Engineering, Anhui University of Technology, Ma'anshan 243032, China.

School of Energy and Environment, Anhui University of Technology, Ma'anshan 243032, China.

出版信息

Materials (Basel). 2021 Sep 29;14(19):5680. doi: 10.3390/ma14195680.

DOI:10.3390/ma14195680
PMID:34640073
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8510041/
Abstract

Accurate prediction and control of the steel plate temperature in the laminar cooling process are very challenging. In this research, an experimental platform was built to measure the heat transfer characteristics of the steel plate in the process of matrix laminar spray cooling when the steel plate is one millimeter away from the upper surface. The "buried couple method" was used, including the cooling temperature and cooling rate. Then, the temperature and the integrated heat transfer coefficient at the steel plate surface were calculated by the time-sequential function method (TSFM). The obtained results show that the fast cooling stage under the water cooling condition occurred in the first 1.5 s, and the measuring point temperature decreased by 8%. The "re-reddening" phenomenon of the steel plate appeared with time, and the measuring point temperature increased by 37%. Second, the maximum calculated difference between the surface temperature and the measuring point temperature was 0.75 °C, and the integrated heat transfer coefficient conformed to the periodic boundary features. The comprehensive convective heat transfer coefficient on the surface was in agreement with the periodic boundary characteristics, and its value exhibited oscillatory attenuation with the cooling process, and the oscillatory peak period was about 6 seconds. Two methods, sequential function method (SFM) and finite difference method (FDM), were used to verify the correctness of TSFM.

摘要

在层流冷却过程中,准确预测和控制钢板温度极具挑战性。本研究搭建了一个实验平台,用于测量钢板在距上表面1毫米的基体层流喷雾冷却过程中的传热特性。采用“埋偶法”,测量了冷却温度和冷却速率。然后,通过时间序列函数法(TSFM)计算了钢板表面的温度和综合传热系数。结果表明,水冷条件下的快速冷却阶段发生在前1.5秒,测量点温度下降了8%。钢板随时间出现“再发红”现象,测量点温度升高了37%。其次,表面温度与测量点温度的最大计算差值为0.75℃,综合传热系数符合周期性边界特征。表面的综合对流换热系数与周期性边界特征相符,其值随冷却过程呈振荡衰减,振荡峰值周期约为6秒。采用序列函数法(SFM)和有限差分法(FDM)两种方法验证了TSFM的正确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/aa185dffb340/materials-14-05680-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/715557fab317/materials-14-05680-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/489c8b3e733d/materials-14-05680-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/ca6014b1c7f0/materials-14-05680-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/fef63012c656/materials-14-05680-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/f537c686a794/materials-14-05680-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/518a442eb981/materials-14-05680-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/c192b3f344ad/materials-14-05680-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/c1eb7c7b5d46/materials-14-05680-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/65a48044959d/materials-14-05680-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/aa185dffb340/materials-14-05680-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/715557fab317/materials-14-05680-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/d05b8484cc0f/materials-14-05680-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/09b950bc06a7/materials-14-05680-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/489c8b3e733d/materials-14-05680-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/ca6014b1c7f0/materials-14-05680-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/fef63012c656/materials-14-05680-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/f537c686a794/materials-14-05680-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/518a442eb981/materials-14-05680-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/c192b3f344ad/materials-14-05680-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/c1eb7c7b5d46/materials-14-05680-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/65a48044959d/materials-14-05680-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec4/8510041/aa185dffb340/materials-14-05680-g012.jpg

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