高炉冷却柱的设计优化与数值模拟

doi:10.13228/j.boyuan.issn0449-749x.20210788

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Abstract When the cooling stave of blast furnace is completely damaged in the later stage of furnace service, the cooling column is generally used to repair it, but the installation quantity and installation position of cooling column almost depend on the practical experience of on-site technicians. Aiming at the arduous problem that how to determine the quantity and position of blast furnace cooling column installed on a furnace shell, an optimized installation method was put forward through analyzing the relationship between installation quantity and position and cooling effect to make full use of cooling performance of cooling column. Firstly, based on the basic principle that the total heat exchange area of cooling column was greater than the total heat exchange area of original cooling stave, by calculating the heat exchange area of cooling column and original cooling stave, the set number of cooling columns installed on a furnace shell was determined to be 11. Secondly, taking the central coordinates of installation positions for 11 cooling columns as the design variables, the optimization mathematical model for calculating the maximum cooling area was established by basic principle of grid method. After setting the constraints, it was solved in MATLAB software by genetic algorithm, and 91.68% of cooling coverage area of cooling columns and the central coordinates of 11 cooling columns were obtained. Finally, a three-dimensional steady-state heat transfer model was established by central coordinates of installation positions for 11 cooling columns, and the model was analyzed by FLUENT software. After full iteration, the temperature field of blast furnace cooling column was obtained, and the surface temperature fields for three types of arrangement of furnace shells were compared. The results showed that the maximum surface temperature and the average temperature of blast furnace shell with optimized arrangement were 73.34 ℃ and 54.29 ℃, respectively. Compared with the other two arrangements, the maximum temperature was reduced by 14.69% and 30.21% respectively, and the average temperature was reduced by 13.33% and 17.42% respectively, which effectively improved the cooling performance and utilization efficiency of cooling column.

Key words： blast furnace cooling column lattice method genetic algorithm numerical simulation

Received: 24 December 2021

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	Articles by authors
	CHEN Shuai
	LI Jia
	LUO Shi-yuan
	CAI Tian
	ZHANG Zheng-dong
	GUO Hong-wei

Cite this article:

CHEN Shuai,LI Jia,LUO Shi-yuan等. Design optimization and numerical simulation of blast furnace cooling column[J]. Iron and Steel, 2022, 57(7): 34-42.

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http://www.chinamet.cn/Jweb_gt/EN/10.13228/j.boyuan.issn0449-749x.20210788 OR http://www.chinamet.cn/Jweb_gt/EN/Y2022/V57/I7/34

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