Temat: ciągłe odlewanie stali - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Modeling of the formation of AlN precipitates during solidification of steel
Autorzy:: Kalisz, D.
Rzadkosz, S.
Powiązania:: https://bibliotekanauki.pl/articles/381716.pdf
Data publikacji:: 2013
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: computer simulation
aluminum nitride
solidification of steel
continuous casting of steel
silicon steel
symulacja komputerowa
azotek glinu
krzepnięcie stali
ciągłe odlewanie stali
stal krzemowa
Opis:: The study was carried out computer simulations of the formation process of AlN precipitates in the solidification of steel. The chemical composition of steel and non-metallic inclusions formed was determined using the commercial software FactSage. Calculated amount of precipitates formed during cooling of steel between the liquidus and solidus temperatures under conditions of thermodynamic equilibrium. In parallel, the computations were performed using your own computer program. It was found that aluminum nitride is formed at the final stage of solidification, and the condition of its formation is low oxygen content in steel.
Źródło:: Archives of Foundry Engineering; 2013, 13, 1; 63-68
1897-3310
2299-2944
Pojawia się w:: Archives of Foundry Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 2.

Tytuł:: Application of Time-Series Analysis for Predicting Defects in Continuous Steel Casting Process
Autorzy:: Rodziewicz, A.
Perzyk, M.
Powiązania:: https://bibliotekanauki.pl/articles/380643.pdf
Data publikacji:: 2016
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: information technology
foundry industry
quality management
continuous steel casting
time series analysis
naïve Bayesian classifier
technologia informatyczna
przemysł odlewniczy
zarządzanie jakością
ciągłe odlewanie stali
analiza szeregów czasowych
naiwny klasyfikator Bayesa
Opis:: The purpose of this paper was testing suitability of the time-series analysis for quality control of the continuous steel casting process in production conditions. The analysis was carried out on industrial data collected in one of Polish steel plants. The production data concerned defective fractions of billets obtained in the process. The procedure of the industrial data preparation is presented. The computations for the time-series analysis were carried out in two ways, both using the authors’ own software. The first one, applied to the real numbers type of the data has a wide range of capabilities, including not only prediction of the future values but also detection of important periodicity in data. In the second approach the data were assumed in a binary (categorical) form, i.e. the every heat(melt) was labeled as ‘Good’ or ‘Defective’. The naïve Bayesian classifier was used for predicting the successive values. The most interesting results of the analysis include good prediction accuracies obtained by both methodologies, the crucial influence of the last preceding point on the predicted result for the real data time-series analysis as well as obtaining an information about the type of misclassification for binary data. The possibility of prediction of the future values can be used by engineering or operational staff with an expert knowledge to decrease fraction of defective products by taking appropriate action when the forthcoming period is identified as critical.
Źródło:: Archives of Foundry Engineering; 2016, 16, 4; 125-130
1897-3310
2299-2944
Pojawia się w:: Archives of Foundry Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Informacja

Wyszukujesz frazę "ciągłe odlewanie stali" wg kryterium: Temat

Źródło danych

Dostawca treści

Kolekcja

Rok wydania

Wydawca

Temat

Autor

Typ dokumentu

Język