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Wyszukujesz frazę "Brzezinski, J." wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Comparison of Cupola Furnace and Blast Furnace Slags with Respect to Possibilities of Their Utilization
Autorzy:
Pribulová, A.
Futáš, P.
Petrík, J.
Pokusová, M.
Brzeziński, M.
Jakubski, J.
Powiązania:
https://bibliotekanauki.pl/articles/350993.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
cupola furnace slag
blast furnace slag
chemical composition
melting temperature
microstructure of slag
Opis:
Blast furnace and cupola furnace are furnace aggregates used for pig iron and cast iron production. Both furnace aggregates work on very similar principles: they use coke as the fuel, charge goes from the top to down, the gases flow against it, etc. Their construction is very similar (cupola furnace is usually much smaller) and the structures of pig iron and cast iron are very similar too. Small differences between cast iron and pig iron are only in carbon and silicon content. The slags from blast furnace and cupola furnace are very similar in chemical composition, but blast furnace slag has a very widespread use in civil engineering, primarily in road construction, concrete and cement production, and in other industries, but the cupola furnace slag utilization is minimal. The contribution analyzes identical and different properties of both kinds of slags, and attempts to explain the differences in their uses. They are compared by the contribution of the blast furnace slag cooled in water and on air, and cupola furnace slag cooled on air and granulated in water. Their chemical composition, basicity, hydraulicity, melting temperature and surface were compared to explain the differences in their utilization.
Źródło:
Archives of Metallurgy and Materials; 2018, 63, 4; 1865-1873
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Prediction of Moulding Sand Moisture Content Based on the Knowledge Acquired by Data Mining Techniques
Autorzy:
Regulski, K.
Jakubski, J.
Opaliński, A.
Brzeziński, M.
Głowacki, M.
Powiązania:
https://bibliotekanauki.pl/articles/355982.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
application of information technology to the foundry industry
moulding sands
decision trees
ANOVA
data mining
Opis:
The subject of the study is the improvement of the quality of moulding sand preparation. An exploration research performed on the data concerning moulding sand quality parameters was described. The aim of the research was to find relationships between various factors determining the properties of moulding sands and, based on the results obtained, build models predicting the sand moisture content with the induction of classification and regression trees. A two-match prediction approach was demonstrated and its effectiveness in evaluating the moulding sand moisture content was discussed. The knowledge in the form of rules acquired in this way can be used in the creation of knowledge bases for systems supporting decisions in the diagnostics of the moulding sand rebonding process. Formalized knowledge also facilitates further processing of the measurement data.
Źródło:
Archives of Metallurgy and Materials; 2016, 61, 3; 1709-1714
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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