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连铸保护渣的结晶性能及其模型预测
引用本文:刘承军,陈菡,孙丽枫,姜茂发.连铸保护渣的结晶性能及其模型预测[J].钢铁研究学报,2007,19(6):34-0.
作者姓名:刘承军  陈菡  孙丽枫  姜茂发
作者单位:东北大学材料与冶金学院,辽宁,沈阳,110004;钢铁研究总院科技信息室,北京,100081
摘    要: 利用差热分析仪,研究连铸保护渣的结晶温度与碱度、Na2CO3含量、CaF2含量、Al2O3含量和MgO含量之间的关系,进而通过建立非线性规划模型,对连铸保护渣的结晶性能进行优化设计和模型预测。在本实验渣系条件下,连铸保护渣的结晶温度随着碱度、综合碱度、Na2CO3含量、CaF2含量和MgO含量的增加而升高,随着Al2O3含量的增加而降低。

关 键 词:结晶温度  连铸保护渣  非线性规划  碱度  综合碱度
文章编号:1001-0963(2007)06-0034-04
收稿时间:1900-01-01;
修稿时间:2007-02-08

Crystallization Characteristics of Mold Powder and Their Prediction
LIU Cheng-jun,CHEN Han,SUN Li-feng,JIANG Mao-fa.Crystallization Characteristics of Mold Powder and Their Prediction[J].Journal of Iron and Steel Research,2007,19(6):34-0.
Authors:LIU Cheng-jun  CHEN Han  SUN Li-feng  JIANG Mao-fa
Affiliation:1. School of Materials and Metallurgy, Northeastern University, Shenyang 110004, Liaoning, China; 2. Department of Science and Technology Information, Central Iron and Steel Research Institute, Beijing 100081, China
Abstract:Crystallization temperature of mold powder was measured by DTA. The effects of R, Na2CO3 content, CaF2 content, Al2O3 content and MgO content on crystallization temperature were determined. Via nonlinear programming, crystallization characteristics of mold powder could be optimized and predicted accurately. Crystallization temperature increased with increasing R, BI, Na2 CO3 content, CaF2 content, MgO content and decreasing Al2O3 content.
Keywords:crystallization temperature  mold powder  nonlinear programming  R  B I
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