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  • 1. Arzpeyma, N.
    et al.
    Alam, Moudud
    Dalarna University, School of Information and Engineering, Statistics.
    Gyllenram, R.
    Jönsson, P. G.
    Model development to study uncertainties in electric arc furnace plants to improve their economic and environmental performance2021In: Metals, ISSN 2075-4701, Vol. 11, no 6, article id 892Article in journal (Refereed)
    Abstract [en]

    A statistical model is developed in order to simulate the melt composition in electric arc furnaces (EAFs) with respect to uncertainties in 1) scrap composition, 2) scrap weighing and 3) element distribution factors. The tramp element Cu and alloying element Cr are taken into account. The model enables simulations of a charge program as well as backwards estimations of the element concentrations and their variance in scrap. In the backwards calculation, the maximum likelihood method is solved by considering three cases corresponding to the involved uncertainties. It is shown that the model can estimate standard deviations for elements so that the real values lie within the estimated 95% confidence interval. Moreover, the results of the model application in each target product show that the estimated scrap composition results in a melt composition, which is in good agreement with the measured one. The model can be applied to increase our understanding of scrap chemical composition and lower the charged material cost and carbon footprint of the products. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

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  • 2.
    Pirouznia, Pouyan
    et al.
    Dalarna University, School of Technology and Business Studies, Materials Technology. KTH; Voestalpine Precis Strip AB, .
    Andersson, Nils Å. I
    KTH Royal Inst Technol, Dept Mat Sci & Engn, Div Proc, SE-10044 Stockholm, Sweden..
    Tilliander, Anders
    KTH Royal Inst Technol, Dept Mat Sci & Engn, Div Proc, SE-10044 Stockholm, Sweden..
    Jonsson, Par G.
    KTH Royal Inst Technol, Dept Mat Sci & Engn, Div Proc, SE-10044 Stockholm, Sweden..
    An investigation of the temperature distribution of a thin steel strip during the quenching step of a hardening process2019In: Metals, ISSN 2075-4701, Vol. 9, no 6, p. 1-14Article in journal (Refereed)
    Abstract [en]

    The dimension quality of the strip within the hardening process is an essential parameter, which great attention needs to be paid. The flatness of the final product is influenced by the temperature distribution of the strip, specifically across the width direction. Therefore, based on physical theories, a numerical model was established. The temperature of the strip for the section before the martensitic transformation was objected in the predicted model by using a steady state approach. In addition an infrared thermal imaging camera was applied in the real process in order to validate the results and to improve the boundary conditions of the numerical model. The results revealed that the temperature of strip decreased up to 250 degrees C within the area between the furnace and the quenching bath. This, in turn, resulted in significant temperature difference across the width of the strip. This difference can be up to 69 degrees C and 41 degrees C according to the numerical results and thermal imaging data, respectively. Overall, this study gave a better insight into the cooling step in the hardening process. In addition, this investigation can be used to improve the hardening process as well as an input for future thermal stress investigations.

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