يعرض 1 - 10 نتائج من 779 نتيجة بحث عن '"Molten iron"', وقت الاستعلام: 0.92s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Detection Method of Molten Iron Flow Velocity at Blast Furnace Taphole Combining Visual Perception and Jet Mechanism

    المؤلفون: Jiang, Z., Chang, Z., Xu, C., Pan, D., Yu, H., Gui, W.

    المصدر: IEEE Transactions on Instrumentation and Measurement IEEE Trans. Instrum. Meas. Instrumentation and Measurement, IEEE Transactions on. 73:1-11 2024

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  2. 2
    دورية أكاديمية
    One-Sided Relational Autoencoder With Seasonal-Trend Decomposition to Extract Process Correlations for Molten Iron Quality Prediction

    المؤلفون: Yan, D., Yang, C., Sun, S., Lou, S., Kong, L., Zhang, Y.

    المصدر: IEEE Transactions on Instrumentation and Measurement IEEE Trans. Instrum. Meas. Instrumentation and Measurement, IEEE Transactions on. 73:1-13 2024

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  3. 3
    مؤتمر
    Online Robust RVFLN for Quality Prediction of Blast Furnace Ironmaking

    المؤلفون: Wen, Chaoyao, Zhou, Ping

    المصدر: 2022 34th Chinese Control and Decision Conference (CCDC) Control and Decision Conference (CCDC), 2022 34th Chinese. :218-223 Aug, 2022

    Relation: 2022 34th Chinese Control and Decision Conference (CCDC)

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  4. 4
    دورية أكاديمية
    Simulation study on fluid flow performance of injection stirring composite process in molten iron desulfurization process

    المؤلفون: Lv, ChaoAff1, Aff2, IDs4224302300948y_cor1, Chen, Xu-xin, Zhang, Hai-wei, Zhao, Hong-liangAff3, IDs4224302300948y_cor4, Yu, Lin-hui, Guo, Wen-ming

    المصدر: Journal of Iron and Steel Research International. 30(12):2403-2415

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  5. 5
    دورية أكاديمية
    Polymorphic Temperature Measurement Method of Molten Iron After Skimmer in Ironmaking Process

    المؤلفون: Pan, D., Jiang, Z., Xu, C., Gui, W.

    المصدر: IEEE Transactions on Instrumentation and Measurement IEEE Trans. Instrum. Meas. Instrumentation and Measurement, IEEE Transactions on. 71:1-11 2022

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  6. 6
    دورية أكاديمية
    Prediction of Multiple Molten Iron Quality Indices in the Blast Furnace Ironmaking Process Based on Attention-Wise Deep Transfer Network

    المؤلفون: Jiang, K., Jiang, Z., Xie, Y., Pan, D., Gui, W.

    المصدر: IEEE Transactions on Instrumentation and Measurement IEEE Trans. Instrum. Meas. Instrumentation and Measurement, IEEE Transactions on. 71:1-14 2022

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  7. 7
    مؤتمر
    Prediction of Silicon Content of Molten Iron in Blast Furnace Based on Particle Swarm - Random Forest

    المؤلفون: Zhou, Kecheng, Hu, Fei, Gong, Jun

    المصدر: 2021 33rd Chinese Control and Decision Conference (CCDC) Control and Decision Conference (CCDC), 2021 33rd Chinese. :2814-2819 May, 2021

    Relation: 2021 33rd Chinese Control and Decision Conference (CCDC)

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  8. 8
    دورية أكاديمية
    Fragmentation and solidification of fuel–coolant interaction of columnar molten iron and water

    المؤلفون: Li, ManhouAff1, Aff2, IDs10973023124193_cor1, Chen, LongAff1, Aff2, Liu, ZijianAff1, Aff2, Shen, ZhiheAff1, Aff2, Wang, ChangjianAff1, Aff2, IDs10973023124193_cor5

    المصدر: Journal of Thermal Analysis and Calorimetry: An International Forum for Thermal Studies. 148(20):10897-10906

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  9. 9
    دورية أكاديمية
    A novel hybrid intelligent model for molten iron temperature forecasting based on machine learning

    المؤلفون: Wei Xu, Jingjing Liu, Jinman Li, Hua Wang, Qingtai Xiao

    المصدر: AIMS Mathematics, Vol 9, Iss 1, Pp 1227-1247 (2024)

    مصطلحات موضوعية: molten iron temperature, intelligent prediction, k-means, empirical mode decomposition, machine learning, Mathematics, QA1-939

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/2473-6988

    URL الوصول: https://doaj.org/article/132b8e0caab748328d32be57dd7b0f59

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  10. 10
    دورية أكاديمية
    A Novel Multiple-Input–Multiple-Output Random Vector Functional-Link Networks for Predicting Molten Iron Quality Indexes in Blast Furnace

    المؤلفون: Li, J., Hua, C., Yang, Y.

    المصدر: IEEE Transactions on Industrial Electronics IEEE Trans. Ind. Electron. Industrial Electronics, IEEE Transactions on. 68(11):11309-11317 Nov, 2021

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