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Wyszukujesz frazę "melting process" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Application of time-series analysis in control of chemical composition of grey cast iron
Autorzy:
Perzyk, M.
Rodziewicz, A.
Powiązania:
https://bibliotekanauki.pl/articles/380404.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
technologia informatyczna
przemysł odlewniczy
zarządzanie jakością
analiza szeregów czasowych
proces topienia
żeliwo szare
information technology
foundry industry
quality management
time series analysis
melting process
grey cast iron
Opis:
The aim of the paper was an attempt at applying the time-series analysis to the control of the melting process of grey cast iron in production conditions. The production data were collected in one of Polish foundries in the form of spectrometer printouts. The quality of the alloy was controlled by its chemical composition in about 0.5 hour time intervals. The procedure of preparation of the industrial data is presented, including OCR-based method of transformation to the electronic numerical format as well as generation of records related to particular weekdays. The computations for time-series analysis were made using the author's own software having a wide range of capabilities, including detection of important periodicity in data as well as regression modeling of the residual data, i.e. the values obtained after subtraction of general trend, trend of variability amplitude and the periodical component. The most interesting results of the analysis include: significant 2-measurements periodicity of percentages of all components, significance 7-day periodicity of silicon content measured at the end of a day and the relatively good prediction accuracy obtained without modeling of residual data for various types of expected values. Some practical conclusions have been formulated, related to possible improvements in the melting process control procedures as well as more general tips concerning applications of time-series analysis in foundry production.
Źródło:
Archives of Foundry Engineering; 2012, 12, 4; 171-175
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Numerical modeling of melting process of thin metal films subjected to the short laser pulse
Autorzy:
Majchrzak, E.
Dziatkiewicz, J.
Powiązania:
https://bibliotekanauki.pl/articles/380460.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
technologia informatyczna
przemysł odlewniczy
techniki numeryczne
wymiana ciepła
proces topienia
metoda różnic skończonych
information technology
foundry industry
numerical techniques
micro scale heat transfer
melting process
finite difference method
Opis:
Thin metal film subjected to a short-pulse laser heating is considered. The parabolic two-temperature model describing the temporal and spatial evolution of the lattice and electrons temperatures is discussed and the melting process of thin layer is taken into account. At the stage of numerical computations the finite difference method is used. In the final part of the paper the examples of computations are shown.
Źródło:
Archives of Foundry Engineering; 2012, 12, 4; 105-108
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Diagnosis of Missed Ductile Iron Melts with Process Modelling
Autorzy:
Perzyk, M.
Werlaty, M.
Powiązania:
https://bibliotekanauki.pl/articles/382916.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
quality management
information technology
foundry industry
process fault diagnosis
ductile iron melting
data driven model
zarządzanie jakością
technologia informacyjna
przemysł odlewniczy
diagnostyka uszkodzeń
topienie żeliwa
Opis:
The paper presents an application of advanced data-driven (soft) models in finding the most probable particular causes of missed ductile iron melts. The proposed methodology was tested using real foundry data set containing 1020 records with contents of 9 chemical elements in the iron as the process input variables and the ductile iron grade as the output. This dependent variable was of discrete (nominal) type with four possible values: ‘400/18’, ‘500/07’, ‘500/07 special’ and ‘non-classified’, i.e. the missed melt. Several types of classification models were built and tested: MLP-type Artificial Neural Network, Support Vector Machine and two versions of Classification Trees. The best accuracy of predictions was achieved by one of the Classification Tree model, which was then used in the simulations leading to conversion of the missed melts to the expected grades. Two strategies of changing the input values (chemical composition) were tried: content of a single element at a time and simultaneous changes of a selected pair of elements. It was found that in the vast majority of the missed melts the changes of single elements concentrations have led to the change from the non-classified iron to its expected grade. In the case of the three remaining melts the simultaneous changes of pairs of the elements’ concentrations appeared to be successful and that those cases were in agreement with foundry staff expertise. It is concluded that utilizing an advanced data-driven process model can significantly facilitate diagnosis of defective products and out-of-control foundry processes.
Źródło:
Archives of Foundry Engineering; 2017, 17, 4; 123-126
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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