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Wyszukujesz frazę "Perzyk, M. A." wg kryterium: Wszystkie pola

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    Wyświetlanie 1-9 z 9
    Tytuł:
    Effectiveness of SCADA Systems in Control of Green Sands Properties
    Autorzy:
    Ignaszak, Z.
    Sika, R.
    Perzyk, M.
    Kochański, A.
    Kozłowski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/381589.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    computer aided foundry production
    SCADA systems
    data acquisition
    green sands
    green sand properties
    wspomaganie komputerowe produkcji
    produkty odlewnicze
    system SCADA
    pozyskiwanie danych
    piasek formierski
    Opis:
    The paper undertakes an important topic of evaluation of effectiveness of SCADA (Supervisory Control and Data Acquisition) systems, used for monitoring and control of selected processing parameters of classic green sands used in foundry. Main focus was put on process studies of properties of so-called 1st generation molding sands in the respect of their preparation process. Possible methods of control of this processing are presented, with consideration of application of fresh raw materials, return sand (regenerate) and water. The studies conducted in one of European foundries were aimed at pointing out how much application of new, automated plant of sand processing incorporating the SCADA systems allows stabilizing results of measurement of selected sand parameters after its mixing. The studies concerned two comparative periods of time, before an implementation of the automated devices for green sands processing (ASMS - Automatic Sand Measurement System and MCM – Main Control Module) and after the implementation. Results of measurement of selected sand properties after implementation of the ASMS were also evaluated and compared with testing studies conducted periodically in laboratory.
    Źródło:
    Archives of Foundry Engineering; 2016, 16, 1; 5-12
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A rheological model of polymeric materials and identification of its parameters
    Autorzy:
    Klasztorny, M.
    Wilczyński, A.
    Witemberg-Perzyk, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/280578.pdf
    Data publikacji:
    2001
    Wydawca:
    Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
    Tematy:
    polymers
    rheology
    constitutive equations
    combined numerical and experimental methods
    Opis:
    A new rheological model of polymeric materials has been proposed, based on experimental data concerning creep of tensile samples. A mechanical model of the material consists of four elements connected in series, formulated by Hooke, Wilczyński, Kelvin and Newton. Constitutive equations of rheology of the polymeric material have been formulated, both in uncoupled and coupled form, with the analitycal generating functions weel-fitting the experiments. A method for the identification of the elastic, viscoelastic and viscous material constans, based on the creep of the tensile samples, has been developed and computerised. The introductory experiments have been carried out on samples made of POLIMAL 109 polyester resin and the results of identification of the material constans have been given.
    Model reologiczny materiałów polimerowych oraz identyfikacja jego parametrów. Zaproponowano nowy model reologiczny materiałów polimerowych, oznaczony symbolem H-W-K-N. Model machaniczny materiału składa się z czterech elementów połączonych szeregowo, sformułowanych przez Hooke'a, Wilczyńskiego, Kelvina i Newtona. Sformułowano równania konstytutywne reologii opisujące model H-W-K-N, w postaci niesprzężonej i sprzężonej, z funkcjami tworzącymi dobrze aproksymującymi eksperymentalne przebiegi pełzania. Opracowano metodę identyfikacji 14 stałych materiałowych, opisujących model H-W-K-N. Algorytm identyfikacji zaprogramowano w języku PASCAL. Podano wyniki identyfikacji stałych materiałowych żywicy polestrowej (POLIMAL 109), bazujące na pomiarach pełzania wzdłużnego i poprzecznego próbek przy rozciąganiu jednokierunkowym.
    Źródło:
    Journal of Theoretical and Applied Mechanics; 2001, 39, 1; 13-32
    1429-2955
    Pojawia się w:
    Journal of Theoretical and Applied Mechanics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Zastosowanie PLA jako spoiwa w masach formierskich i rdzeniowych
    Application of PLA as a Binder in Molding and Core Sands
    Autorzy:
    Kozłowski, J.
    Kochański, A.
    Perzyk, M.
    Tryznowski, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/381798.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    materiały innowacyjne
    innowacyjne technologie odlewnicze
    biopolimery
    spoiwa
    piasek otaczany
    metoda HOT-BOX
    innovative materials
    innovative foundry technologies
    polymers
    binder
    sand surrounded
    HOT-BOX method
    Opis:
    Rosnąca popularność polimerów biodegradowalnych, możliwości ich wytwarzania, przetwarzania i wykorzystania, stwarzają szansę opracowania nowych materiałów wiążących, do zastosowania w przemyśle odlewniczym. Nowe spoiwa biopolimerowe, spełniające wymagania z zakresu ochrony środowiska, mogą stanowić alternatywę dla dotychczas stosowanych spoiw do mas formierskich i rdzeniowych, w przypadku uzyskania wymaganych właściwości wytrzymałościowych i technologicznych. Prezentowane rozwiązanie, alternatywne do dotychczas opisywanych w literaturze, obejmujące badania mas otrzymywanych z piasków otaczanych spoiwem biodegradowanlym PLA, dotyczy optymalizacji właściwości wytrzymałościowych, w odniesieniu do procentowej zawartości biopolimeru, temperatury i czasu wytwarzania form i rdzeni metodą HOT-BOX. Uzyskane wyniki pozwalają sądzić, że biopolimery mogą być skutecznym zamiennikiem dotychczas stosowanych spoiw mas formierskich i rdzeniowych, a metoda wytwarzania z użyciem piasków otaczanych, może być równie skuteczna jak metody alternatywne.
    Currently moulding sand with biopolymers as a binding agent appears to be probably the most interesting achievement in the mould production from ecology point of view. New biopolymer materials offer the parameters comparable to those which have been in use up to now. Moulding sands with a biopolymer binder were produced. The moulding process of 2% PLA sandmix involving different fusion temperatures and times was studied and the results presented. The results of observations and ultimate tensile strength tests were offered. The obtained results point to the fact that the new sandmix moulding method offered similar results that obtained in the literature. The issue is viewed as requiring further research.
    Źródło:
    Archives of Foundry Engineering; 2014, 14, 2 spec.; 51-54
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Methodology for Diagnosing the Causes of Die-Casting Defects, Based on Advanced Big Data Modelling
    Autorzy:
    Okuniewska, A.
    Perzyk, M. A.
    Kozłowski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/2126910.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    foundry industry
    die casting
    castings defects
    process control
    data analytics
    application of information technology
    przemysł odlewniczy
    odlewanie ciśnieniowe
    wady odlewów
    kontrola procesu
    analiza danych
    zastosowanie technologii informatycznych
    Opis:
    The purpose of this paper was to develop a methodology for diagnosing the causes of die-casting defects based on advanced modelling, to correctly diagnose and identify process parameters that have a significant impact on product defect generation, optimize the process parameters and rise the products’ quality, thereby improving the manufacturing process efficiency. The industrial data used for modelling came from foundry being a leading manufacturer of the high-pressure die-casting production process of aluminum cylinder blocks for the world's leading automotive brands. The paper presents some aspects related to data analytics in the era of Industry 4.0. and Smart Factory concepts. The methodology includes computation tools for advanced data analysis and modelling, such as ANOVA (analysis of variance), ANN (artificial neural networks) both applied on the Statistica platform, then gradient and evolutionary optimization methods applied in MS Excel program’s Solver add-in. The main features of the presented methodology are explained and presented in tables and illustrated with appropriate graphs. All opportunities and risks of implementing data-driven modelling systems in high-pressure die-casting processes have been considered.
    Źródło:
    Archives of Foundry Engineering; 2021, 21, 4; 103--109
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Application of Special Cause Control Charts to Green Sand Process
    Autorzy:
    Perzyk, M.
    Rodziewicz, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/381885.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    quality management
    information technology
    foundry industry
    statistical process control
    time series analysis
    control charts
    zarządzanie jakością
    technologia informatyczna
    przemysł odlewniczy
    statystyczne sterowanie procesem
    analiza szeregów czasowych
    karta kontrolna
    Opis:
    Statistical Process Control (SPC) based on the well known Shewhart control charts, is widely used in contemporary manufacturing industry, including many foundries. However, the classic SPC methods require that the measured quantities, e.g. process or product parameters, are not auto-correlated, i.e. their current values do not depend on the preceding ones. For the processes which do not obey this assumption the Special Cause Control (SCC) charts were proposed, utilizing the residual data obtained from the time-series analysis. In the present paper the results of application of SCC charts to a green sand processing system are presented. The tests, made on real industrial data collected in a big iron foundry, were aimed at the comparison of occurrences of out-of-control signals detected in the original data with those appeared in the residual data. It was found that application of the SCC charts reduces numbers of the signals in almost all cases It is concluded that it can be helpful in avoiding false signals, i.e. resulting from predictable factors.
    Źródło:
    Archives of Foundry Engineering; 2015, 15, 4; 55-60
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    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:
    Introducing Advanced Data Analytics in Perspective of Industry 4.0 in a Die Casting Foundry
    Autorzy:
    Perzyk, M.
    Dybowski, B.
    Kozłowski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/381424.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    application of information technology
    foundry industry
    mechanical properties
    die casting
    process control
    data analytics
    zastosowanie technologii informatycznych
    przemysł odlewniczy
    właściwości mechaniczne
    odlewanie
    kontrola procesu
    analityka danych
    Opis:
    The paper presents some aspects of a development project related to Industry 4.0 that was executed at Nemak, a leading manufacturer of the aluminium castings for the automotive industry, in its high pressure die casting foundry in Poland. The developed data analytics system aims at predicting the casting quality basing on the production data. The objective is to use these data for optimizing process parameters to raise the products’ quality as well as to improve the productivity. Characterization of the production data including the recorded process parameters and the role of mechanical properties of the castings as the process outputs is presented. The system incorporates advanced data analytics and computation tools based on the analysis of variance (ANOVA) and applying an MS Excel platform. It enables the foundry engineers and operators finding the most efficient process variables to ensure high mechanical properties of the aluminium engine block castings. The main features of the system are explained and illustrated by appropriate graphs. Chances and threats connected with applications of the data-driven modelling in die casting are discussed.
    Źródło:
    Archives of Foundry Engineering; 2019, 1; 53-57
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Selected Principles of Feeding Systems Design: Simulation vs Industrial Experience
    Autorzy:
    Perzyk, M.
    Kochański, A.
    Mazurek, P.
    Karczewski, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/379595.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    solidification process
    castings defects
    simulation software
    feeding flow
    krzepnięcie
    wady odlewów
    przepływ
    oprogramowanie
    Opis:
    Simulation software dedicated for design of casting processes is usually tested and calibrated by comparisons of shrinkage defects distribution predicted by the modelling with that observed in real castings produced in a given foundry. However, a large amount of expertise obtained from different foundries, including especially made experiments, is available from literature, in the form of recommendations for design of the rigging systems. This kind of information can be also used for assessment of the simulation predictions. In the present work two parameters used in the design of feeding systems are considered: feeding ranges in horizontal and vertical plates as well as efficiency (yield) of feeders of various shapes. The simulation tests were conducted using especially designed steel and aluminium castings with risers and a commercial FDM based software. It was found that the simulations cannot predict appearance of shrinkage porosity in horizontal and vertical plates of even cross-sections which would mean, that the feeding ranges are practically unlimited. The yield of all types of feeders obtained from the simulations appeared to be much higher than that reported in the literature. It can be concluded that the feeding flow modelling included in the tested software does not reflect phenomena responsible for the feeding processes in real castings properly. Further tests, with different types of software and more fundamental studies on the feeding process modelling would be desirable.
    Źródło:
    Archives of Foundry Engineering; 2014, 14, 4; 77-82
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    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
      Wyświetlanie 1-9 z 9

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