Hierarchical Prediction Model Based on BP Neural Network for Predicting CO/CO2in Iron Ore Sintering Process

Author(s):  
Ben Xu ◽  
Xin Chen ◽  
Yang Zhou
2021 ◽  
Vol 106 ◽  
pp. 44-53
Author(s):  
Kailong Zhou ◽  
Xin Chen ◽  
Min Wu ◽  
Yosuke Nakanishi ◽  
Weihua Cao ◽  
...  

2018 ◽  
Vol 58 (2) ◽  
pp. 236-243 ◽  
Author(s):  
Wei Lv ◽  
Xiaohui Fan ◽  
Xiaobo Min ◽  
Min Gan ◽  
Xuling Chen ◽  
...  

2017 ◽  
Vol 57 (4) ◽  
pp. 673-680 ◽  
Author(s):  
Zhiyun Ji ◽  
Xiaohui Fan ◽  
Min Gan ◽  
Qiang Li ◽  
Xuling Chen ◽  
...  

2014 ◽  
Vol 21 (1) ◽  
pp. 59-70 ◽  
Author(s):  
Patrycja Łechtańska ◽  
Grzegorz Wielgosiński

Abstract The main air pollutants in the sintering process of iron ore are polychlorinated dibenzo-p-dioxins, polychlorinated dibenzofurans (PCDD/Fs) and harmful dust. Ore sintering on sinter strands is one of the first technology steps in the ironworks. It is a process in which iron ore is crushed, subjected to annealing and mixed with appropriate additives, and then sintered in order to produce sinter which is the main component of iron in the blast furnace process. PCDD/Fs emissions were measured and the addition of ammonium sulfate as an inhibitor of the synthesis of dioxins in the sintering process of iron ore was studied.


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