高爐硅鐵 的英文怎麼說

中文拼音 [gāolúguītiě]
高爐硅鐵 英文
silvery pig iron
  • 高 : Ⅰ形容詞1 （從下向上距離大; 離地面遠） tall; high 2 （在一般標準或平均程度之上; 等級在上的） above...
  • 硅 : 名詞[化學] silicon （14號元素符號 si）
  • 鐵 : Ⅰ名詞1 （金屬元素） iron （fe） 2 （指刀槍等） arms; weapon 3 （姓氏） a surname Ⅱ形容詞1 （形容...
  1. Study of silicon for quick analysis of bf iron

    高爐鐵水快速定硅傳感器的研究
  2. The silicon content in hot metal tapped from blast furnace is a very important factor which should be controlled in iron making process. it is not only a very important criteria in evaluating the quality of hot metal, but also an index of the thermal level in blast furnace. so, it is essential to keep its stabilization for the blast furnace manufacturing

    高爐鐵水硅含量是高爐生產過程中需要控制的重要因素之一，它不但是反映生鐵質量的重要指標，而且還可以反映高爐的爐溫水平，同時也是表徵高爐內熱狀態的一個重要指標，對維持高爐的穩定、順行、高產尤為重要。
  3. A nueral network model for predicting the silicon content of the hot metal at no. 3 blast furnace in tangshan iron and steel co

    唐鋼二煉鐵廠3號高爐鐵水硅含量神經網路預報模型
  4. Guimeng alloys, an electric high - carbon, ferromanganese, low ferromanganese smelting sales

    硅錳合金、電爐高碳、錳鐵、低度錳鐵冶煉銷售。
  5. Abstract : it analyses reduction machanism of silicon in femn blast furnace ， basic conditions, ways and technological measures to smelt low silicon blast furnace femn, points out the technical and economical advantages of smelting low silicon femn in blast furnace

    文摘:分析了錳鐵高爐內硅還原機理、冶煉低硅高爐錳鐵的基本條件、途徑和工藝措施，指出了高爐冶煉低硅錳鐵的技術經濟優勢。
  6. However, existing models used for prediction of silicon content in hot metal can not meet the requirement of process control of blast furnace for the model

    維持合理的爐溫水平是高爐生產穩定順行的關鍵之一。高爐鐵水硅含量可以間接反映爐溫變化。
  7. In this thesis, a new model used for prediction of silicon content in hot metal based on self - organized experience evolution approach has been investigated by developing prototype of the model with software engineering methodology, optimizing model parameters and testing it with process data of blast furnace in tianjin iron plant

    針對目前鐵水硅含量預測方法尚不能滿足高爐過程式控制制需要的現狀，根據所提出的高爐鐵水硅含量自組織經驗進化預測模型原理，用軟體工程方法學設計和開發了相應軟體原型，並從理論和實踐角度對這種新的智能預測模型進行了研究。
  8. Experimental study on desiliconization of blast furnace ferromanganese by baco3 baf2 mno2 flux

    2渣系對高爐錳鐵脫硅的實驗研究
  9. Expert system is mainly used to analyzing the result of the silicon content prediction anns and giving blast operators some reasonable operating guidance which can insure the silicon content is in a certain range. in order to make the communication between the operators and software, a slinky and appropriate interface was also developed

    專家系統模塊主要是利用所收集的大量的專家知識對鐵水硅含量預報神經網路的輸出結果進行分析，根據各個參數之間的關系進行計算，並向高爐操作者提出定性的操作指導和定量的操作建議，以確保高爐鐵水硅含量保持在正常范圍。
  10. Ferromanganese and blast furnace ferromanganese - determination of silicon content - gravimetric method after perchloric acid dehydration

    錳鐵及高爐錳鐵硅含量的測定高氯酸脫水重量法
  11. In addition, time delay of impact of irregular coke charge to silicon content in hot metal has been analyzed statistically. it is shown that silicon content in hot metal of 60. 24 % tapping increases after six hours of irregular coke charging

    對凈焦加入量（或次數）對鐵水含硅量的作用時間進行的統計分析結果表明：加入凈焦6小時以後， 60 . 24 %爐次會出現爐溫升高現象。
  12. In order to obtain the mn - zn ferrite that has the superior property of the absorbing microwave the precursor powder is sintered in the sic furnace control system

    利用硅碳棒高溫爐對具有吸波性能的錳鋅鐵氧體前驅體粉末進行了燒結制備。
  13. The predicting and controlling model of silicon content in hot metal tapped from blast furnace is composed of following components or sub - models : anns prediction model, expert model and interface

    高爐鐵水硅含量預報、控制神經網路、專家系統主要由神經網路模塊、專家系統模塊以及人機介面所組成。
  14. Abstract : it is pointed out that selecting rational reductants and silica, adopting appropriate technological parameter, proper proportions of reductants and sizes, strengthening smelting operation are the ways to increase fesi production, quality and heat efficiency, and to reduce electricity consumption

    文摘:選擇合理的還原劑和硅石，採用合適的電爐參數並通過還原劑品種、粒度的合理搭配和加強冶煉操作是提高75硅鐵產量、質量及熱效率，降低電耗的方向。
  15. Neural networks used in prediction of si content in molten iron of blast furnace

    神經網路方法在高爐鐵水硅含量預報中的應用
  16. As a result the prototype that was function satisfactory and user friendly, has developed with vb and matlab commercial software. because the numeric calculations are all done by anns, the software is able to transplanted and embedded in different blast furnaces and different software

    利用數據庫中30組數據對系統進行輸入以訓練神經網路，當顯示訓練完畢后，將數據庫中剩餘的27組數據輸入以對神經網路對高爐鐵水硅含量預測結果的命中率進行檢測。
  17. After training, the anns sub - model could be used to forecast, at two - hour interval, the possibility of silicon content in the next two hours and figuring the non - linear mathematic relationship between silicon content and the other parameters as the foundation of the numerical operating guidance

    其中神經網路模塊主要被用於對高爐鐵水硅含量以一定的時間間隔進行預測並對鐵水硅含量及其影響因素間的關系進行學習，以作為專家系統定量化計算的依據。
  18. The prediction model of silicon content in hot metal tapped from blast furnace based on self - organized experience evolution is composed of following components : feature extraction and vector quantification of temporal process data, memory, storage, accumulation and evolution of the prediction experience

    高爐鐵水硅含量自組織經驗進化預測系統主要由動態數據特徵提取、動態模式自組織分類量化以及預測經驗的記憶、存儲、積累和進化三部分組成。
  19. Chemical analysis methods for acid slay of cupola. determination of silica by gravimetric method using perchloric acid dewatering

    鑄造化鐵爐酸性爐渣化學分析方法.高氯酸脫水重量法測定二氧化硅量
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