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Research of Digital Platform and Process Guidance Model in EAF Steelmaking Process

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9th International Symposium on High-Temperature Metallurgical Processing (TMS 2018)

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Abstract

As a shortage of information technology support, steel plant is unable to real-time tracking production cost of each working procedure, and can’t form the information feedback in time. Information integration technology for dynamic monitoring becomes a development trend of process control in advanced iron and steel enterprise. The paper based on the characteristics of EAF steelmaking process and requirements build the digital platform and process guidance model, which is designed to solve for smelting composition control, cost control, and optimizing guide in EAF steelmaking process. The model is including: data acquisition module, cost monitoring and calculation module, EAF endpoint carbon control module, alloy material optimization module, component monitoring and forecast module, process guidance module, data maintenance and query module.

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References

  1. Ekmekci Ī et al (2007) Mass balance modeling for electric arc furnace and ladle furnace system in steelmaking facility in Turkey. J Iron Steel Res Int 14(5):1–55

    Google Scholar 

  2. Brusa E, Franceschinis S, Morsut S (2009) Compact modelling of electric arc furnace electrodes for vibration analysis, detection and suppression. Compu Model Eng Sci 42(2):75–106

    Google Scholar 

  3. Zhao HG (2013) An adaptive approximate model neural network controller for EAF electrode regulator system. App Mech Mater 373–375:1432–1436

    Google Scholar 

  4. Yang LZ, Tao J, Li GH, Guo YF Discussion of carbon emissions for charging hot metal in EAF steelmaking process. High temperature materials and processes. https://doi.org/10.1515/htmp-2015-0292

  5. Ma GH, Zhu R, Dong K et al (2016) Wei development and application of electric arc furnace combined blowing technology. Ironmaking Steelmaking 43(8):594–599

    Google Scholar 

  6. Yang LZ, Ma GH, Zhang YB et al (2015) Multi-scale control model of the EAF steelmaking process research. Ind Heating 02:4–7

    Google Scholar 

  7. Yang LZ, Zhu R, Dong K et al (2011) Research on steelmaking cost control model of 70t converter in Xining Special Steel Co., Ltd. Metall Indu Autom 35(6):59–62

    Google Scholar 

  8. Yang LZ et al (2014) Alloy charging optimization model based on the yield dynamic libraries. J Univ Sci Technol Beijing 36(s1):104–109

    Google Scholar 

  9. Luo RH et al (2011) A study on prediction models for alloying charging and end analysis during ladle furnace refining. Spec Steel 32(2):8–10

    Google Scholar 

  10. Yang LZ et al (2017) Alloy yield prediction model based on the data analysis in EAF steelmaking process. In: 8th International symposium on high-temperature metallurgical processing, Springer, Chalm

    Google Scholar 

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Correspondence to Ling-zhi Yang .

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© 2018 The Minerals, Metals & Materials Society

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Yang, Lz., Zhu, R., Dong, K., Wei, Gs. (2018). Research of Digital Platform and Process Guidance Model in EAF Steelmaking Process. In: Hwang, JY., et al. 9th International Symposium on High-Temperature Metallurgical Processing. TMS 2018. The Minerals, Metals & Materials Series. Springer, Cham. https://doi.org/10.1007/978-3-319-72138-5_57

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