烧结矿

shāo jié kuànɡ
  • Sinter ore;agglomerate;ore agglomerate
烧结矿烧结矿
  1. 人工判断方法是看火工师傅直接观察机尾图像,对烧结矿中各参数定性分析,控制生产过程的进行。

    The firers control the process of production by observing the images at the end of the machine directly and analyzing all the parameters of agglomerate .

  2. 其次,利用训练完成的BP神经网络就可以对未分类烧结矿进行等级预测。

    Then , use BP after training to forecast the non-classified agglomerate .

  3. 用BP网络模型对烧结矿质量预测

    Using BP network module to forecast quality of sintered ore

  4. F、K和Na对烧结矿组成与结构的影响

    Influence of F-K-Na on Mineral Composition and Microstructure of the Sinter

  5. 能散X荧光分析仪分析烧结矿

    Analysis of chemical composition of sinter by using fj-2810g energy dispersion X-ray fluorescence spectrometer

  6. BP神经网络在烧结矿技术经济指标的应用

    The Application of BP Neural Network in Technical and Economic Index of Sintering Ore

  7. 包钢烧结矿是含有K、Na和F的特殊矿。

    Bao Steel sinter is special which contains K , Na and F .

  8. Al2O3含量对烧结矿性能的影响

    Effect of al_2o_3 content of sinter on its properties

  9. Al2O3含量对烧结矿平衡相组成及特性的影响

    Influence of Al_2O_3 on Sinter for Its Phase Compositions and Properties in Equilibrium

  10. MgO对烧结矿质量的影响及MgO与B2O3的交互作用

    Effect of MgO on Sinter Quality and Interaction of MgO and B _2O_3

  11. X荧光光谱法测定烧结矿中SiO2等7个成分的含量

    Determination of Seven Components in Sinter by X-ray Fluorescence Spectrometry

  12. 用Excel建立烧结矿配料计算表

    Establishing Design Schedule of Sintered Ore Mixture by Excel

  13. 基于SEM图像的烧结矿分形维数程序化计算

    The Calculation of Fractal Dimension with programm According to the Characters of the Sinter ' SEM

  14. 合理烧结矿碱度的探讨不同层次土壤总盐与总碱度为中等程度变异水平,pH为弱变异水平;

    The variation between soil layers in total salt and total alkalinity is moderate , and rather minor in pH ;

  15. 提高烧结矿MgO含量的途径及高炉冶炼效果

    Measurements for increasing sinter MgO content and the BF metallurgical effect

  16. MgO对烧结矿矿相组成的影响

    Effect of MgO on Composition of the Sinter Mineral Phase

  17. w(MgO)对含钒、钛烧结矿强度和烧结过程的影响

    Influence of w ( MgO ) on sinter strength and sintering process of vanadium-titanium magnetite

  18. 利用BP神经网络,建立了烧结矿质量预测模型,预测烧结矿FeO含量和碱度R指标。

    The BP neural network has been adopted to establish prediction model for sinter quality control .

  19. 对FeAlCr耐热烧结矿进行了制备与结构性质分析。

    The preparing method of Fe-Al-Cr heat resistance sinters was introduced , and structure and properties of the sinters were analyzed .

  20. 本文介绍使用瓶装标准CO还原气和自制CO还原气进行的烧结矿低温还原粉化和还原性两项对比试验。

    Comparative tests of bottled standard CO reducing gas and the gas generated on site for sinter RI and RDI measurement were conducted .

  21. 应用BP神经网络技术和遗传优化技术分别建立烧结矿质量模拟模型和烧结寻优配矿模型;

    Sinter quality simulating model and optimizing iron ores matching model were built by using BP neural network technology and genetic algorithms technology , respectively .

  22. 提高烧结矿的SiO2/TiO2比及配加辅料的烧结试验

    Sintering test on improving sio_2 / tio_2 and adding auxiliary charges during sintering sintering production

  23. 低TiO2含量烧结矿冶金性能研究

    Metallurgical properties of low tio_2 sinter

  24. 改善低SiO2烧结矿性能

    Improving the properties of low-sio_2 sinter

  25. 碱度、MgO含量和白云石粒度对烧结矿常温强度的影响

    Effects of basicity and MgO content of sinter and partical size of dolomite on ambient strength properties of sinter

  26. 烧结矿FeO含量智能检测仪的开发

    Development of the intelligent detector of FeO content in sinter

  27. 钒钛烧结矿适宜FeO含量的研究

    The Reasonable Content of FeO in Vanadium - titanium Sinter

  28. 烧结矿TFe、碱度稳定性影响因素的探讨

    Research about the influence factors of sinter TFE and basicity stability

  29. SiO2/TiO2比值及辅料对钒钛烧结矿软熔滴落性能的影响

    Impact of sio_2 / tio_2 ratio and addition of auxiliary materials on softening dropping of V-bearing Titaniferous Magnetite Sinter

  30. 基于LS-SVM的烧结矿化学成分软测量模型研究与应用

    Research and Application of Soft Sensoring Model of Chemical Composition in Sintering Process Based on LS-SVM