Modeling of Copper Converter Foamover and Operational Improvements

2012 ◽  
pp. 787-799 ◽  
Author(s):  
Pengfu Tan ◽  
Jared Ball ◽  
Ben Hogg ◽  
Darren Snashall ◽  
Paul Telford
Keyword(s):  
2008 ◽  
Vol 32 (9) ◽  
pp. 1696-1710 ◽  
Author(s):  
Eduardo Godoy ◽  
Axel Osses ◽  
Jaime H. Ortega ◽  
Alvaro Valencia

1988 ◽  
Vol 27 (1) ◽  
pp. 7-21 ◽  
Author(s):  
A. A. Bustos ◽  
J. K. Brimacombe ◽  
G. G. Richards
Keyword(s):  

2003 ◽  
Vol 119 (2) ◽  
pp. 55-60 ◽  
Author(s):  
Harumasa KUROKAWA ◽  
Nobumasa KEMORI

Author(s):  
N Aminizadeh ◽  
S. H. Mansouri

A thermo-chemical model of the Pierce-Smith copper converter has been developed to predict the melt temperature. The primary assumption of the model was that all the matte, the slag, and the gaseous phases in the converter were in thermal and chemical equilibrium. In this model, the matte components considered were copper, iron, and sulphur elements. In the slag-making stage, all the reacted iron was converted to fayalite. On the basis of the model prediction and comparison with the plant data, the reaction rates of iron and oxygen in the slag-making stage and sulphur and oxygen in the blowing copper stage were assumed to be mixing controlled. The converter temperature was calculated by heat balance over time. The model was validated by detailed comparisons with measured industrial data. Good agreements between predicted and measured data were obtained. The results of parametric studies show that the melt temperature in the converter depends on the process parameters such as oxygen efficiency, melt emissivity, and oxygen enrichment. The results of this research can be used for process automation and optimizing.


1996 ◽  
Vol 37 (4) ◽  
pp. 912-915 ◽  
Author(s):  
Fumihiko Ogino ◽  
Keisuke Nishimura ◽  
Susumu Okabe ◽  
Etsuji Kimura

ACS Omega ◽  
2020 ◽  
Vol 5 (32) ◽  
pp. 20090-20099
Author(s):  
Wen Tao ◽  
Chuncheng Zhu ◽  
Qian Xu ◽  
Shenggang Li ◽  
Xiaolu Xiong ◽  
...  

2012 ◽  
Vol 119-120 ◽  
pp. 40-46 ◽  
Author(s):  
Maxim I. Muravyov ◽  
Natalya V. Fomchenko ◽  
Alexey V. Usoltsev ◽  
Evgeniy A. Vasilyev ◽  
Tamara F. Kondrat'eva

2012 ◽  
Vol 568 ◽  
pp. 103-106
Author(s):  
Xiao Long Zhang ◽  
Shi Wen Yao ◽  
Jian Hang Hu ◽  
Hua Wang

The process of copper converter smelting has very complex nonlinear relations, so that its mathematical model can not be created accurately. In this paper, considering that the LS-SVM has strong nonlinear approximation ability, the organization and optimization model based on LS-SVM to assist copper smelting production is proposed, namely compensating the original model and improving the precision of the model using LS-SVM. To simulate using real production data of a copper smelting company, the result shows that this model’s precision is high, this can be used to guide the practice production and it is very effective in civil engineering


1984 ◽  
Vol 48 (347) ◽  
pp. 243-249 ◽  
Author(s):  
E. Wearing

AbstractThe chemistry of opaque spinel, delafossite (Cu2O·Fe2O3), cuprite (Cu2O), cassiterite, nickel-olivine (Ni2SiO4), and bunsenite (NiO) from some copper converter slags has been investigated by electron microprobe analysis. The spinel has a complex composition containing up to 33.89% NiO and 47.69% SnO2, ranging from essentially Ni2SnO4 to (Ni,Fe2+)O4. The associated delafossite contains up to 19.18% NiO and 38.15% SnO2. The chemical variation of the mineral phases is evaluated, and it appears that Ni2+ enters the spinel and delafossite to charge-balance the octahedrally coordinated Sn4+.


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