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发表于 2009-7-21 15:24:58
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来自： 中国河南郑州
有色金属(冶炼部分) 2008 年2 期7 g1 T7 d# l/ S* Z9 @5 J! V
汪金良1 ,卢宏2 ,汪仁良3 ,曾青云1
: B& u# e5 | x1 w; p(11 江西理工大学材料与化学工程学院,赣州341000 ;21 江西理工大学信息工程学院,赣州341000 ;
$ I; w& F2 d0 }, X31 贵溪冶炼厂,江西贵溪335424)0 A) C' o+ e* \3 S7 z
摘要:基于已建立的神经网络模型,研究了富化率、吨矿氧量、熔剂率以及铜精矿主要成分对铜闪速熔炼
$ @. J$ ]# O+ B& N4 C+ Q1 b/ B过程的影响。结果表明:富化率的增大会使铜锍品位降低、铜锍温度升高,而对渣含Fe/ SiO2 影响不大;8 K* ~* x* e4 Z/ s8 b5 _; N9 H' b2 f7 z
吨矿氧量的增加会使铜锍品位、铜锍温度及渣含Fe/ SiO2 都升高;熔剂率的增加会使渣含Fe/ SiO2 明显
' r- @: m0 r! k) T5 g' q B下降;精矿中Cu 含量的增大会使铜锍品位升高,铜锍温度稍微降低;而Fe 的影响与Cu 相反;S/ Cu 一般* u$ f# \- o# ]/ D6 N
控制在110 ±012 ,自热熔炼应控制在1134 以上。
# h+ r/ W# F9 t+ P1 n7 R* W2 z6 c关键词:神经网络;闪速熔炼;铜;因素
7 p+ m9 I) X5 ~2 s中图分类号: TF811 文献标识码:A 文章编号:1007 - 7545 (2008) 02 - 0002 - 04
4 B5 z$ ^* K0 Y" ?9 J) s: D) ZAnalysis of the Effect Factors of Copper Flash Smelting
6 v) Y4 k/ t) u5 j3 ~Based on Neural Network
+ R* K- L* I* I3 fWAN GJ in2liang1 , LU Hong2 , WAN G Ren2liang3 , ZEN G Qing2yun1+ K1 L+ a, d# g0 }- {( }
(11 Faculty of Material and Chemist ry Engineering , Jiangxi University of Science and Technology ,. J! a. C" H' p& t0 g/ e+ ~
Ganzhou 341000 , China ; 21 Faculty of Information Engineering , Jiangxi University of Science and Technology ,
6 a1 H2 w% V' r1 PGanzhou 341000 , China ; 31 Guixi Smelter , Guixi 335424 , China)+ `* d* D8 D1 t6 `
Abstract :The effect s of t he oxygen grade , t he oxygen volume per ton concent rate , t he flux rate and t he el2! s6 V! L5 M; o3 h3 ]" E
ement s content in copper concent rate on the copper flash smelting process are st udied based on the built
% j6 v6 i5 q& Z! Y. Y. ^& tneural network model1 Result s show t hat the mat te grade reduces , t he matte temperat ure increases but t he
8 s) X2 e: a0 e' yFe/ SiO2 in slag changes lit tle when t he oxygen grade increases ; the mat te grade , the mat te temperat ure
( `1 m8 D- R, G% |# y+ ~ T" _and t he Fe/ SiO2 in slag increase all when t he oxygen volume per ton concent rate increases ; t he Fe/ SiO2 in
( q$ m. w S( z Rslag drop s clearly when t he flux ratio increases ; t he increment of t he Cu content in concent rate makes t he
7 S; N$ n/ E/ Y" O0 y" wmat te grade increase but t he mat te temperature drop lit tle ; t he effect of the Fe content in concent rate is op2
% ~; \1 {, {3 O! d: `& `( kposite to t he Cu content ; S/ Cu should be cont rolled f rom 018 to 112 generally , but more than 1134 for6 @( m1 u- i# J0 A( Z
self2heat smelting1
: w9 |( B, W3 F# {: SKeywords :Neural network ; Flash Smelting ; Copper ; Factors |
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发表于 2009-7-20 17:43:03
