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    Wyświetlanie 1-11 z 11
    Tytuł:
    The use of optical scanning for analysis of casting shape
    Wykorzystanie skanowania optycznego do analizy kształtu odlewów
    Autorzy:
    Wieczorowski, M.
    Grzelka, M.
    Budzik, G.
    Augustyn-Pieniazek, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/379621.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    information technology
    foundry industry
    quality management
    nondestructive testing
    technologia informatyczna
    przemysł odlewniczy
    zarządzanie jakością
    badania nieniszczące
    Opis:
    In the paper the use of optical scanning for inspection of casting shape and its accuracy was described. Optical system applied to digitization of objects determines all dimensions and shape of inspected object. This technology is used in quality control and reverse engineering. System is based on triangulation: sensor head performs projection of different patterns of fringes onto measured object and scanner tracks their distribution with two cameras. Basing on optical transform equations, a processing unit automatically and with remarkable accuracy calculates 3D coordinates for every pixel of camera. Depending on camera resolution the result of such a scan is a cloud of points with up to 5 million points for every image. In the paper examples of applications for castings with different designation was presented.
    W artykule opisano wykorzystanie skanowania optycznego do kontroli dokładności wykonania odlewów. System optyczny stosowany do digitalizacji obiektów określa wszystkie wymiary i kształt badanego przedmiotu. Technologia ta wykorzystywana jest w kontroli jakości i w inżynierii odwrotnej. System bazuje na zasadzie triangulacji: głowica sensora dokonuje projekcji różnych układów prążków na obiekt mierzony a skaner obserwuje ich przebieg dwoma kamerami. Opierając się na równaniach transformacji optycznej, jednostka przetwarzająca automatycznie i z dużą dokładnością oblicza współrzędne 3D dla każdego piksela kamery. Zależnie od rozdzielczości kamery, wynikiem takiego skanu jest chmura do 4 milionów punktów dla każdego pojedynczego pomiaru. W artykule pokazano przykładowe zastosowanie skanera optycznego do pomiarów odlewów o różnym przeznaczeniu.
    Źródło:
    Archives of Foundry Engineering; 2011, 11, 2 spec.; 217-221
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Applicability of Business Rules to Production Management in Foundries
    Autorzy:
    Stawowy, A.
    Duda, J.
    Wrona, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/383187.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    application of information technology
    foundry industry
    operation management
    business rules
    zastosowanie technologii informatycznych
    przemysł odlewniczy
    zarządzanie operacyjne
    reguły biznesowe
    Opis:
    The size and complexity of decision problems in production systems and their impact on the economic results of companies make it necessary to develop new methods of solving these problems. One of the latest methods of decision support is business rules management. This approach can be used for the quantitative and qualitative decision, among them to production management. Our study has shown that the concept of business rules BR can play at most a supporting role in manufacturing management, but alone cannot form a complete solution for production management in foundries.
    Źródło:
    Archives of Foundry Engineering; 2016, 16, 1; 85-88
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Influence of the training set value on the quality of the neural network to identify selected moulding sand properties
    Autorzy:
    Jakubski, J.
    Dobosz, S. M.
    Major-Gabryś, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/381338.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    information technology
    foundry industry
    quality management
    green moulding sands
    neural network
    technologia informacyjna
    przemysł odlewniczy
    zarządzanie jakością
    masa formierska
    sieć neuronowa
    Opis:
    Artificial neural networks are one of the modern methods of the production optimisation. An attempt to apply neural networks for controlling the quality of bentonite moulding sands is presented in this paper. This is the assessment method of sands suitability by means of detecting correlations between their individual parameters. This paper presents the next part of the study on usefulness of artificial neural networks to support rebonding of green moulding sand, using chosen properties of moulding sands, which can be determined fast. The effect of changes in the training set quantity on the quality of the network is presented in this article. It has been shown that a small change in the data set would change the quality of the network, and may also make it necessary to change the type of network in order to obtain good results.
    Źródło:
    Archives of Foundry Engineering; 2013, 13, 2; 49-52
    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
    Tytuł:
    Shrinkage Porosity Criterion and Its Application to A 5.5 Ton Steel Ingot
    Autorzy:
    Zhang, C.
    Bao, Y.
    Wang, M.
    Zhang, L.
    Powiązania:
    https://bibliotekanauki.pl/articles/382021.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    foundry industry
    quality management
    shrinkage porosity
    ingot solidification
    application of information technology
    numerical simulation
    przemysł odlewniczy
    zarządzanie jakością
    porowatość
    krzepnięcie
    zastosowanie technologii informatycznych
    symulacja numeryczna
    Opis:
    In order to predict the distribution of shrinkage porosity in steel ingot efficiently and accurately, a criterion R√L and a method to obtain its threshold value were proposed. The criterion R√L was derived based on the solidification characteristics of steel ingot and pressure gradient in the mushy zone, in which the physical properties, the thermal parameters, the structure of the mushy zone and the secondary dendrite arm spacing were all taken into consideration. The threshold value of the criterion R√L was obtained with combination of numerical simulation of ingot solidification and total solidification shrinkage rate. Prediction of the shrinkage porosity in a 5.5 ton ingot of 2Cr13 steel with criterion R√L>0.21 m･℃1/2･s-3/2 agreed well with the results of experimental sectioning. Based on this criterion, optimization of the ingot was carried out by decreasing the height-to-diameter ratio and increasing the taper, which successfully eliminated the centreline porosity and further proved the applicability of this criterion.
    Źródło:
    Archives of Foundry Engineering; 2016, 16, 2; 27-32
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Methodology of Fault Diagnosis in Ductile Iron Melting Process
    Autorzy:
    Perzyk, M.
    Kozlowski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/382169.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    quality management
    information technology
    foundry industry
    process fault diagnosis
    ductile iron
    data driven model
    zarządzanie jakością
    technologia informatyczna
    przemysł odlewniczy
    diagnostyka uszkodzeń
    żeliwo ADI
    model danych
    Opis:
    Statistical Process Control (SPC) based on the Shewhart’s type control charts, is widely used in contemporary manufacturing industry, including many foundries. The main steps include process monitoring, detection the out-of-control signals, identification and removal of their causes. Finding the root causes of the process faults is often a difficult task and can be supported by various tools, including data-driven mathematical models. In the present paper a novel approach to statistical control of ductile iron melting process is proposed. It is aimed at development of methodologies suitable for effective finding the causes of the out-of-control signals in the process outputs, defined as ultimate tensile strength (Rm) and elongation (A5), based mainly on chemical composition of the alloy. The methodologies are tested and presented using several real foundry data sets. First, correlations between standard abnormal output patterns (i.e. out-of-control signals) and corresponding inputs patterns are found, basing on the detection of similar patterns and similar shapes of the run charts of the chemical elements contents. It was found that in a significant number of cases there was no clear indication of the correlation, which can be attributed either to the complex, simultaneous action of several chemical elements or to the causes related to other process variables, including melting, inoculation, spheroidization and pouring parameters as well as the human errors. A conception of the methodology based on simulation of the process using advanced input - output regression modelling is presented. The preliminary tests have showed that it can be a useful tool in the process control and is worth further development. The results obtained in the present study may not only be applied to the ductile iron process but they can be also utilized in statistical quality control of a wide range of different discrete processes.
    Źródło:
    Archives of Foundry Engineering; 2016, 16, 4; 101-108
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Methods of Computational Intelligence in the Context of Quality Assurance in Foundry Products
    Autorzy:
    Rojek, G.
    Regulski, K.
    Wilk-Kołodziejczyk, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/380386.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    application of information technology
    foundry industry
    quality management
    casting defects
    computational intelligence
    artificial intelligence
    zastosowanie technologii informatycznych
    przemysł odlewniczy
    zarządzanie jakością
    wady odlewnicze
    inteligencja obliczeniowa
    sztuczna inteligencja
    Opis:
    One way to ensure the required technical characteristics of castings is the strict control of production parameters affecting the quality of the finished products. If the production process is improperly configured, the resulting defects in castings lead to huge losses. Therefore, from the point of view of economics, it is advisable to use the methods of computational intelligence in the field of quality assurance and adjustment of parameters of future production. At the same time, the development of knowledge in the field of metallurgy, aimed to raise the technical level and efficiency of the manufacture of foundry products, should be followed by the development of information systems to support production processes in order to improve their effectiveness and compliance with the increasingly more stringent requirements of ergonomics, occupational safety, environmental protection and quality. This article is a presentation of artificial intelligence methods used in practical applications related to quality assurance. The problem of control of the production process involves the use of tools such as the induction of decision trees, fuzzy logic, rough set theory, artificial neural networks or case-based reasoning.
    Źródło:
    Archives of Foundry Engineering; 2016, 16, 2; 11-16
    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:
    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 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
    Tytuł:
    Improving Quality and Occupational Safety on Automated Casting Lines
    Autorzy:
    Kukla, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/380123.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    foundry industry
    quality management
    automation in foundry
    application of information technology
    modelling of production systems
    simulation of production systems
    work ergonomics
    przemysł odlewniczy
    zarządzanie jakością
    automatyzacja w odlewni
    zastosowanie technologii informatycznych
    modelowanie systemów produkcyjnych
    symulacja systemów produkcyjnych
    ergonomia pracy
    Opis:
    The paper presents a practical example of improving quality and occupational safety on automated casting lines. Working conditions on the line of box moulding with horizontal mould split were analysed due to low degree of automation at the stage of cores or filters installation as well as spheroidizing mortar dosing. A simulation analysis was carried out, which was related to the grounds of introducing an automatic mortar dispenser to the mould. To carry out the research, a simulation model of a line in universal Arena software for modelling and simulation of manufacturing systems by Rockwell Software Inc. was created. A simulation experiment was carried out on a model in order to determine basic parameters of the working system. Organization and working conditions in other sections of the line were also analysed, paying particular attention to quality, ergonomics and occupational safety. Ergonomics analysis was carried out on manual cores installation workplace and filters installation workplace, and changes to these workplaces were suggested in order to eliminate actions being unnecessary and onerous for employees.
    Źródło:
    Archives of Foundry Engineering; 2017, 17, 3; 69-72
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-11 z 11

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