共 47 条
Sticking Behavior of Pellets During Direct Reduction Based on Hydrogen Metallurgy: An Optimization Approach Using Response Surface Methodology
被引:14
作者:
Feng, Jinge
[1
,2
,3
]
Tang, Jue
[1
,4
]
Chu, Mansheng
[3
,4
]
Liu, Peijun
[1
,2
,3
]
Zhao, Zichuan
[1
,2
,3
]
Zheng, Aijun
[5
]
Wang, Xiaoai
[6
]
Han, Tao
[7
]
机构:
[1] Northeastern Univ, Sch Met, Shenyang, Peoples R China
[2] Northeastern Univ, Inst Frontier Technol Low Carbon Steelmaking, Shenyang, Peoples R China
[3] Northeastern Univ, Liaoning Low Carbon Steelmaking Technol Engn Res C, Shenyang, Peoples R China
[4] Minist Educ, Engn Res Ctr Frontier Technol Low Carbon Steelmaki, Shenyang, Peoples R China
[5] Zhang Xuan Technol HBIS Grp Co Ltd, Shijiazhuang, Hebei, Peoples R China
[6] Iron & Steel Res Inst HBIS Grp Co Ltd, Shijiazhuang 050000, Peoples R China
[7] Xuanhua Iron & Steel Grp Co Ltd, Shijiazhuang 075100, Hebei, Peoples R China
基金:
中国国家自然科学基金;
关键词:
Sticking behavior;
Hydrogen metallurgy;
Direct reduction;
Optimization;
Response surface methodology;
IRON-ORE PELLETS;
SWELLING BEHAVIOR;
OXIDIZED PELLETS;
MECHANISM;
D O I:
10.1007/s40831-023-00712-2
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Sticking of pellets occurs in the direct reduction process of gas-based shaft furnace. This phenomenon has negative effects on the smooth flow of raw materials and continuous operation of production, leading to lower product quality and productivity. The objective of this study is to determine the optimal process conditions for direct reduction process with minimized sticking index (SI) and maximized metallization rate (MR) based on response surface method (RSM), through studying the effects of single and multiple factors during the reduction process on SI and MR of pellets. Based on the single factor of reduction experiment, the RSM and central composite design (CCD) were used to optimize SI and MR, and the experimental parameters included TiO2 addition, reduction temperature, reduction time, and load. The analysis of variance ( ANOVA) evaluation technique was used to analyze the fitted quadratic regression model and the significance of each item in the model, which clearly revealed the linear, interaction, and squared effects of each parameter. The optimum process parameters were as follows: the TiO2 addition was 3.28%, the reduction temperature was 1027.53 degrees C, the reduction time was 68.91 min, and the load was 0.40 kg/cm(2). The optimum responses corresponding to these optimized operating conditions were found as 19.57% (< 20%) and 90.26% (> 90%) for SI and MR, respectively. The optimized responses were validated experimentally at optimum experimental parameters and found to be within acceptable error levels.
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页码:1139 / 1154
页数:16
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