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Wyszukujesz frazę "Pustějovská, P." wg kryterium: Autor

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    Wyświetlanie 1-2 z 2
    Tytuł:
    Process engineering in iron production
    Autorzy:
    Pustejovska, P.
    Jursova, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/184940.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    heat balance
    kinetic model
    carbon consumption
    reducibility
    bilans cieplny
    model kinetyczny
    zużycie węgla
    redukowalność
    Opis:
    Balance, thermodynamic and mainly kinetic approaches using methods of process engineering enable to determine conditions under which iron technology can actually work in limiting technological states, at the lowest reachable fuel consumption (reducing factor) and the highest reachable productivity accordingly. Kinetic simulation can be also used for variant prognostic calculations. The paper deals with thermodynamics and kinetics of iron making process. It presents a kinetic model of iron oxide reduction in a low temperature area. In the experimental part it deals with testing of iron ore feedstock properties. The theoretical and practical limits determined by heat conditions, feedstock reducibility and kinetics of processes are calculated.
    Źródło:
    Chemical and Process Engineering; 2013, 34, 1; 63-76
    0208-6425
    2300-1925
    Pojawia się w:
    Chemical and Process Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Statistical Assessment of Coal Charge Effect on Metallurgical Coke Quality
    Autorzy:
    Pustejovska, P.
    Brozova, S.
    Jursova, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/111678.pdf
    Data publikacji:
    2016
    Wydawca:
    Stowarzyszenie Menedżerów Jakości i Produkcji
    Tematy:
    coke
    blast furnace
    statistical assessment
    koks
    piec hutniczy
    ocena statystyczna
    Opis:
    The paper studies coke quality. Blast furnace technique has been interested in iron ore charge; meanwhile coke was not studied because in those previous conditions seemed to be good enough. Nowadays, the requirements for blast furnace coke has risen, especially, requirements for coke reactivity [1]. The level of reactivity parameter is determined primarily by the composition and properties of coal mixtures for coking. The paper deals with a statistical analysis of the tightness and characteristics of the relationship between selected properties of coal mixture and coke reactivity. Software Statgraphic using both simple linear regression and multiple linear regressions was used for the calculations. Obtained regression equations provide a statistically significant prediction of the reactivity of coke, or its strength after reduction of CO2, and thus their subsequent management by change in composition and properties of coal mixture [2]. There were deter-mined indexes CSR/CRI for coke [3]. Fifty – four results were acquired in the experimental parts where correlation between index CRI and coal components were studied. For linear regresion the determinant was 55.0204%, between parameters CRI – Inertinit 21.5873%. For regression between CRI and coal components it was 31.03%. For multiply linear regression between CRI and 3 feedstock components determinant was 34.0691%. Final correlation has shown the decrease in final coke reactivity for higher ash, higher content of volatile combustible in coal increases the total coke reactivity and higher amount of inertinit in coal increases the reactivity. Generally, coke quality is significantly affected by coal processing, carbonization and maceral content of coal mixture.
    Źródło:
    Production Engineering Archives; 2016, 11, 2; 15-17
    2353-5156
    2353-7779
    Pojawia się w:
    Production Engineering Archives
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-2 z 2

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