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基于RBF神經(jīng)網(wǎng)絡(luò )的轉爐冶煉中低碳鉻鐵終點(diǎn)磷含量預報模型的研究
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(長(cháng)春工業(yè)大學(xué) 電氣與電子工程學(xué)院,長(cháng)春 130012)

作者簡(jiǎn)介:

邱 東(1969-),男,吉林長(cháng)春人,博士,副教授,碩士研究生導師,主要從事智能測控與優(yōu)化方向的研究。[FQ)]

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中圖分類(lèi)號:

TP183

基金項目:

吉林省科技發(fā)展計劃項目(20120420)。


Research on Prediction Model of End-point Phosphorus Converter for Content Smelting Medium-Low Carbon Ferrochrome Based on RBF Neural Network
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(Schol of Elecerical and Electronic Engineering, Changchun Unwersity ofTechnology, Changdun 130012, China)

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    摘要:

    中低碳鉻鐵冶煉工藝復雜,雜質(zhì)磷含量的高低是影響鉻鐵產(chǎn)品質(zhì)量的重要因素;通過(guò)研究轉爐冶煉中低碳鉻鐵鐵水脫磷預處理的反應特性及熱力學(xué)條件,分析了影響中低碳鉻鐵合金終點(diǎn)磷含量的重要因素;基于中鋼吉鐵遼陽(yáng)公司轉爐冶煉中低碳鉻鐵的生產(chǎn)工藝及樣本數據,建立了基于RBF人工神經(jīng)網(wǎng)絡(luò )的轉爐冶煉中低碳鉻鐵終點(diǎn)磷含量預報模型,實(shí)現了對冶煉過(guò)程終點(diǎn)中低碳鉻鐵磷含量的在線(xiàn)預報與分析;仿真結果表明,該模型預報精度在±0.003%范圍內命中率達到85.7%,為改進(jìn)冶煉工藝、提高產(chǎn)品質(zhì)量提供了重要的理論依據。

    Abstract:

    Medium-Low Carbon ferrochrome smelting is a complex process. The discretion of the impurity content of phosphorus is an important factor affecting the quality of Ferrochrome products. The important influence factors of converter smelting ferrochrome end-point phosphorus content was concluded based on analyzing response characteristics of hot metal dephosphorization pretreatment and thermodynamic condition, the control variables of the end phosphorus content was fixed; According to Sinosteel Jilin Ferroalloys co., Ltd converter smelting medium and low carbon ferrochrome technology and production data, a prediction model for converter smelting ferrochrome end-point phosphorus content has been established based on RBF artificial neural network in accordance with the ferrochrome smelting process for online prediction of end phosphorus content. Results show that the hit rate of the prediction model is 85.7% with the error ±0.003%, provides important theoretical basis for the improvement of smelting process and product quality.

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邱東,戴文娟.基于RBF神經(jīng)網(wǎng)絡(luò )的轉爐冶煉中低碳鉻鐵終點(diǎn)磷含量預報模型的研究計算機測量與控制[J].,2014,22(9):3020-3023.

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  • 收稿日期:2014-04-21
  • 最后修改日期:2014-06-09
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  • 在線(xiàn)發(fā)布日期: 2014-12-18
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