Models using in metallurgical process management

• Autorzy: Pustĕjovska Pavlina , Kardas Edyta , Toman Radek , Bařina Dominik , Jursova Simona

Identyfikatory

DOI

10.25961/ent.manag.23.03.03

• Języki publikacji: EN

Abstrakty

EN

The paper presents the possibilities of the application of different models for blast furnace operation management: thermodynamic and kinetic models and also coke degradation model. Thermodynamic and kinetic approaches in modelling metallurgical processes form are necessary basis for continuous analysis of the conditions under which the evaluated iron technology can actually work while achieving the highest productivity. They can be also useful for estimating of maximal rate of auxiliary fuels in specific conditions of the blast furnace iron making, what can help to optimize the cost of fuels. The aim of the article is to present the possibility of reducing the costs of pig iron production using models, especially the coke degradation model, which was used for Czech conditions. The model was developed in two options: a regressive non-linear statistical model, and a selflearning neuron network. Subsequently, both predictive model variants are compared.

Słowa kluczowe

EN

coal; iron ore; thermodynamic model; kinetic model; coke degradation model

PL

węgiel; ruda żelaza; model termodynamiczny; model kinetyczny; model degradacji koksu

• Wydawca: Polskie Towarzystwo Zarządzania Produkcją
• Czasopismo: Zarządzanie Przedsiębiorstwem
• Rocznik: 2020
• Tom: Vol. 23, nr 3
• Strony: 16--19
• Opis fizyczny: Bibliogr. 11 poz., il. kolor., wykr.

Twórcy

autor

Pustĕjovska Pavlina

• VŠB - Technical University of Ostrava, 17 listopadu 15, Ostrava-Poruba, Czech Republic

autor

Kardas Edyta

• Częstochowa University of Technology, Poland

autor

Toman Radek

• VŠB - Technical University of Ostrava, Czech Republic

autor

Bařina Dominik

• VŠB - Technical University of Ostrava, Czech Republic

autor

Jursova Simona

• VŠB - Technical University of Ostrava, Czech Republic

Bibliografia

• [1] Babich A., Senk D., Coal use in iron and steel metalurgy, The Coal Handbook: Towards Cleaner Production, Vol. 2, Coal utilization, New Delhi, pp. 267-305, 2013.
• [2] Bernasowski M., Theoretical study of the hydrogen influence on iron oxides reduction at the blast furnace process, Steel Research International, 85, 4, 670-678, 2014, doi: 10.1002/srin.201300141.
• [3] Bilík J., Mathematical model of coke degradation in blast furnace, Hutnick´e listy, No. 4, pp. 225-230, 1990.
• [4] Bilík J., Schüztenhöfer W., Hiebler H., Einsatz der mathematischen Modellierung in der Reduktionsmetallurgie, Berg und Hüttenmännische Monatshefte, 143. Jg., Heft 5, s. 166-169, 1998.
• [5] Bilík J., Roubíček V., Vilamová Š., Pustĕjovská P., Actual possibilities of coal utilization in metallurgical industry, Metalurgija,42, 2, 107-111, 2002.
• [6] Kardas E., The analysis of coke used in blast furnace process, Acta Metallurgica Slovaca Conference, 1, 4, 66-69, 2010.
• [7] Kardas E., Pustĕjovská P., Brožová S., Statistical analysis of quality parameters of pig iron, CzOTO, 1, 1, 616-623, 2019, doi: 10.2478/czoto-2019-0078.
• [8] Konstanciak A., The selection of coal mixes for the production of blast-furnace coke, Acta Metallurgica Slovaca Conferenca, 1, 4, 62-65, 2010.
• [9] Pustĕjovská P., Tůma J., Stanĕk V., Kristal J., Jursová, S., Bilík J., Using a mathematical model of counter-current flow in a blast furnace to evaluate reducibility of iron-ore-bearing raw materials, Steel Research Int., 86, 2015, doi: 10.1002/srin201400055.
• [10] Roubíček V., Janík, I., Bilík, J., Kret J., Utilization of coal in the steel industry, Eighteenth Annual International Pittsburgh Coal Conference Proceedings, Australia, 2001.
• [11] Steel industry portal: https://www.steelonthenet.com/ commodity-prices.html, 2020.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).