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1)  LF refining
LF炉精炼
2)  LF refining furnace
LF精炼炉
1.
The unfired magnesia-calcium brick has been developed and used in 90t LF refining furnace in centain steelplant.
以合成镁钙砂、电熔镁砂为原料,以无水树脂做结合剂,添加适量的添加剂,研制出了LF精炼炉用不烧镁钙砖。
3)  LF finer
LF精炼炉
1.
Research on the alloy burden model based on the LF finer;
基于LF精炼炉合金配料模型的研究
2.
The paper processed the real data of the alloy feed of LF finer and established the alloy feed model of multiple regression using the method of principal component analysis, then forecasted and tested the model using other 30 groups of real sample data.
用主成分分析的方法,对LF精炼炉合金加料的实际数据进行处理,建立合金加料多元线性回归模型,用另外的30组实际样本数据对模型进行预测验证,将预测结果同未进行数据处理所建立的合金加料多元线性回归模型预测结果进行比较,显示主成分分析后所建模型具有较好的预测效果。
4)  Ladle Furnace
LF精炼炉
1.
The Investigation of Dust Exhaustion Efficiency in Ladle Furnace of Chongqing Iron and Steel Corporation;
重钢LF精炼炉除尘效能的研究
5)  LF refined slag
LF炉精炼渣
6)  LF furnace
LF钢包精炼炉
1.
Design and application of the 70t LF furnace electrode control system based on the software WinAC;
基于WinAC的70t LF钢包精炼炉电极控制系统设计及应用
2.
In accordance with the characters of the electrode system controller in LF furnace such as the high nonlinearity,time-variant,uncertainty and multivariable input and output coupling,a control strategy based on the controller of fuzzy adaptive decoupline,which applies RBF neural network real-time identification on line and neural network decoupline,is presented.
针对LF钢包精炼炉电极控制系统具有非线性、时变、模型不确定、多输入多输出强耦合的特点,提出一种基于RBF神经网络实时在线辨识和神经网络解耦的模糊自适应控制方案,并进行了控制器设计。
补充资料:LF钢包精炼炉(上海第五钢铁厂)


LF钢包精炼炉(上海第五钢铁厂)


谕LF钢包精炼炉(上海第五钢铁厂)
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