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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
3 h1 |/ E4 r- W汪金良1 ,卢宏2 ,汪仁良3 ,曾青云1
9 t) [' a) F9 [: O1 H: X, _1 ~7 k(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 ;9 |4 y8 |- f+ b9 [
31 贵溪冶炼厂,江西贵溪335424): L% P+ J3 ^. C, y0 \
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
8 `4 m+ C5 U8 Z: h5 V5 N7 N0 {! e' e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 g: W9 P* ~3 n/ r( E; R/ c, ~1 x
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
9 K( w5 O" U- }1 y/ G6 d) X+ B0 P9 m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% l. @: a$ u* ^) G- v" v
控制在110 ±012 ,自热熔炼应控制在1134 以上。# {) u2 V. a5 g$ h0 `
关键词:神经网络;闪速熔炼;铜;因素8 x' p: B- M, X, V
中图分类号: TF811 文献标识码:A 文章编号:1007 - 7545 (2008) 02 - 0002 - 04( f- O* L4 `7 n5 V$ P
Analysis of the Effect Factors of Copper Flash Smelting% k5 t# c0 V9 r6 ]2 p) T8 O5 d
Based on Neural Network$ R# I5 X/ R" j5 t0 T) _ h
WAN GJ in2liang1 , LU Hong2 , WAN G Ren2liang3 , ZEN G Qing2yun18 ]: ^: Q2 \: }! ]
(11 Faculty of Material and Chemist ry Engineering , Jiangxi University of Science and Technology ,) [: m8 l: q6 W6 q- j
Ganzhou 341000 , China ; 21 Faculty of Information Engineering , Jiangxi University of Science and Technology ,) ?, ^; \" L8 _* h+ s* H1 H! v6 Q
Ganzhou 341000 , China ; 31 Guixi Smelter , Guixi 335424 , China)
. a+ \! f! F; M. W bAbstract :The effect s of t he oxygen grade , t he oxygen volume per ton concent rate , t he flux rate and t he el28 R4 q. v! b y' I) Z- _
ement s content in copper concent rate on the copper flash smelting process are st udied based on the built
3 ~2 X- e$ q2 mneural network model1 Result s show t hat the mat te grade reduces , t he matte temperat ure increases but t he, y! @/ E8 s, L! |" w, E
Fe/ SiO2 in slag changes lit tle when t he oxygen grade increases ; the mat te grade , the mat te temperat ure
, N% x. h4 i# [0 _6 Band t he Fe/ SiO2 in slag increase all when t he oxygen volume per ton concent rate increases ; t he Fe/ SiO2 in
/ d6 w2 B: j/ e" a5 I9 Hslag drop s clearly when t he flux ratio increases ; t he increment of t he Cu content in concent rate makes t he
4 V! f' z& j# Q* [' omat te grade increase but t he mat te temperature drop lit tle ; t he effect of the Fe content in concent rate is op2
& F- o) P s2 S( V( H$ Lposite to t he Cu content ; S/ Cu should be cont rolled f rom 018 to 112 generally , but more than 1134 for3 m; P! `! o# g
self2heat smelting1, q: N8 S6 k( d8 u5 c
Keywords :Neural network ; Flash Smelting ; Copper ; Factors |
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发表于 2009-7-20 17:43:03
