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Classification of BOF Slag by Data Mining Techniques According to Chemical Composition

Author

Listed:
  • Sara M. Andrés-Vizán

    (Project Engineering Area, University of Oviedo, 33004 Oviedo, Spain)

  • Joaquín M. Villanueva-Balsera

    (Project Engineering Area, University of Oviedo, 33004 Oviedo, Spain)

  • J. Valeriano Álvarez-Cabal

    (Project Engineering Area, University of Oviedo, 33004 Oviedo, Spain)

  • Gemma M. Martínez-Huerta

    (Project Engineering Area, University of Oviedo, 33004 Oviedo, Spain)

Abstract

In the process of converting pig iron into steel, some co-products are generated—among which, basic oxygen furnace (BOF) slag is highlighted due to the great amount generated (about 126 kg of BOF slag per ton of steel grade). Great efforts have been made throughout the years toward finding an application to minimize the environmental impact and to increase sustainability while generating added value. Finding BOF slag valorization is difficult due to its heterogeneity, strength, and overall swallowing, which prevents its use in civil engineering projects. This work is focused on trying to resolve the heterogeneity issue. If many different types of steel are manufactured, then different types of slag could also be generated, and for each type of BOF slag, there is an adequate valorization option. Not all of the slag can be valorized, but it can be a tool for reducing the amount that must go to landfill and to minimize the environmental impact. An analysis by means of data mining techniques allows a classification of BOF slag to be obtained, and each one of these types has a better adjustment to certain valorization alternatives. In the plant used as an example of the application of these studies, eight different slag clusters were obtained, which were then linked to their different potential applications with the aim of increasing the amount valorized.

Suggested Citation

  • Sara M. Andrés-Vizán & Joaquín M. Villanueva-Balsera & J. Valeriano Álvarez-Cabal & Gemma M. Martínez-Huerta, 2020. "Classification of BOF Slag by Data Mining Techniques According to Chemical Composition," Sustainability, MDPI, vol. 12(8), pages 1-10, April.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:8:p:3301-:d:347328
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    References listed on IDEAS

    as
    1. Taehoon Koh & Sung-Woo Moon & Hyuksang Jung & Yeonung Jeong & Sukhoon Pyo, 2018. "A Feasibility Study on the Application of Basic Oxygen Furnace (BOF) Steel Slag for Railway Ballast Material," Sustainability, MDPI, vol. 10(2), pages 1-12, January.
    2. Jun Kono & York Ostermeyer & Holger Wallbaum, 2018. "Trade-Off between the Social and Environmental Performance of Green Concrete: The Case of 6 Countries," Sustainability, MDPI, vol. 10(7), pages 1-14, July.
    3. Hanbing Liu & Bing Zhu & Haibin Wei & Chao Chai & Yu Chen, 2019. "Laboratory Evaluation on the Performance of Porous Asphalt Mixture with Steel Slag for Seasonal Frozen Regions," Sustainability, MDPI, vol. 11(24), pages 1-17, December.
    4. Stefano Maschio & Eleonora Aneggi & Lorenzo Fedrizzi & Francesco Andreatta & Maria Lekka & Alex Lanzutti & Erika Furlani, 2017. "Production and Compression Strength of Mortars Containing Unprocessed Waste Powdered Steel Slag," Sustainability, MDPI, vol. 9(12), pages 1-11, December.
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