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Wyszukujesz frazę "defects of castings" wg kryterium: Temat


Wyświetlanie 1-6 z 6
Tytuł:
Wykorzystanie tomografii komputerowej w defektoskopii odlewów z żeliwa sferoidalnego
X-Ray Computed Tomography in the Nondestructive Testing of Ductile Iron Castings
Autorzy:
Królikowski, M.
Burbelko, A.
Kwaśniewska-Królikowska, D.
Powiązania:
https://bibliotekanauki.pl/articles/380858.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
tomografia komputerowa
badania NDT
defektoskopia
wady odlewnicze
porowatość
computed tomography
ductile iron castings
defects of castings
Opis:
W artykule przedstawiono aktualne możliwości urządzeń pomiarowych, jakimi są tomografy komputerowe (CT), zdolnych do wykonania pełnych prześwietleń odlewów o grubości ścianek przekraczającej 80 mm. Wszystkie badania nieniszczące (NDT) zostały wykonane na wybranych odlewach z żeliwa sferoidalnego i szarego wykonanych w Spółce Akcyjnej Odlewnie Polskie w Starachowicach. Przedstawiono zasadę działania i ogólną budowę tomografów komputerowych oraz możliwości ich wykorzystania. Dodatkowo pokazano możliwości CT przy wizualizacji wyników i zestawieniu ich z dokumentacją 3D. Przedstawiono perspektywy oraz ograniczenia przy wykrywaniu i określaniu wad w odlewach.
Actual possibilities of the computer-aided X-ray tomography equipment (CT) were presented illustrated by examples of devices capable to analyze the 80 mm thickness castings. All presented results of the nondestructive tests are performed for iron castings produced by “Odlewnie Polskie” S.A. based in Starachowice. The base principles of operation and structure of CT scanners are shown as well as possibility of this devices. The possibilities of the CT are presented in the domains of the results visualization and of the comparison with 3D documentation. Prospects and limitation of the casting defects detection and identification are presented.
Źródło:
Archives of Foundry Engineering; 2014, 14, 4 spec.; 71-76
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Computer Simulation of Cast Iron Flow in Castability Trials
Autorzy:
Popielarski, P.
Hajkowski, J.
Sika, R.
Ignaszak, Z.
Powiązania:
https://bibliotekanauki.pl/articles/355454.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
application of information technology to the foundry industry
castings defects
cast iron
castability trial
Opis:
The paper includes validation studies of the flow module of the NovaFlow&Solid simulation code. Experiments of ductile iron and gray iron casting in a spiral test of castability were carried out. Casting experiments were then carried out in industrial conditions in the Ferrex Foundry in Poznań and the results are the castability spiral length and local cast iron rate during mould cavity pouring. Simulation tests using NovaFlow&Solid Control Volume code were made. The technological castability test was used to determine thermal-physical data through simplified inversion problem. Influence of physical parameters in the database of simulation code on the spiral length obtained as the result of simulation was analyzed. It was found that critical fraction of capillary flow CLF down has the biggest impact on cast iron castability in the simulation code. The simulations resulted in defining parameters of gray iron GJL 250 and ductile iron GJS-400-15. For the parameters set, the length of castability spiral in simulations was in accordance with casting experiments.
Źródło:
Archives of Metallurgy and Materials; 2019, 64, 4; 1433-1439
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Process of Vacuum Formation in the Shrinkage Cavity at Castings Crystallization
Autorzy:
Khrychikov, V.
Semenov, O.
Meniailo, H.
Aftandiliants, Y.
Gnyloskurenko, S.
Powiązania:
https://bibliotekanauki.pl/articles/2203937.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
casting crystallisation
castings defects
causes of defects
shrinkage cavity
measuring vacuum
krystalizacja odlewu
wady odlewów
przyczyny wad
jama skurczowa
pomiar próżni
Opis:
The formation process of one of the most common casting defects, a shrinkage depression concerned to shrinkage cavity, was studied. The methodology, device and the experimental set up were developed to study the shrinkage cavity growth. The kinetics of vacuum formation in the cavity of the spherical casting of Al-Si-Mg alloy at its solidification in the sand-and-clay form was investigated. The data were analysed taking in mind the temperature variation in the centre of crystallizing casting. The causes of the shrinkage depression in castings were clarified. It was determined that atmospheric pressure leads to the retraction and curvature of metal layer on the surface of the casting with lower strength below which the shrinkage cavity is formed. To avoid such defects it was recommended to use the external or internal chills, feeders and other known technological methods. Deep shrinkage cavities inside the castings could be removed with an air flow through a thin tubular needle of austenitic steels for medical injections.
Źródło:
Archives of Foundry Engineering; 2022, 22, 4; 79--84
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Decision Support System in the Domain of Casting Defects Diagnosis
Autorzy:
Wilk-Kołodziejczyk, D.
Rojek, G.
Regulski, K.
Powiązania:
https://bibliotekanauki.pl/articles/947573.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
application of information technology
foundry industry
castings defects
diagnosis
zastosowanie technologii informatycznych
przemysł odlewniczy
wady odlewów
Opis:
This article presents a computer system for the identification of casting defects using the methodology of Case-Based Reasoning. The system is a decision support tool in the diagnosis of defects in castings and is designed for small and medium-sized plants, where it is not possible to take advantage of multi-criteria data. Without access to complete process data, the diagnosis of casting defects requires the use of methods which process the information based on the experience and observations of a technologist responsible for the inspection of ready castings. The problem, known and studied for a long time, was decided to be solved with a computer system using a CBR (Case-Based Reasoning) methodology. The CBR methodology not only allows using expert knowledge accumulated in the implementation phase, but also provides the system with an opportunity to "learn" by collecting new cases solved earlier by this system. The authors present a solution to the system of inference based on the accumulated cases, in which the main principle of operation is searching for similarities between the cases observed and cases stored in the knowledge base.
Źródło:
Archives of Foundry Engineering; 2014, 14, 3; 107-110
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Effect of Vacuum Assistance on the Quality of Castings Produced by High Pressure Die Casting Method
Autorzy:
Łągiewka, M.
Konopka, Z.
Nadolski, M.
Zyska, A.
Powiązania:
https://bibliotekanauki.pl/articles/380704.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
innovative foundry technologies
aluminium alloys
quality of castings
surface roughness
defects in pressure die castings
innowacyjne technologie odlewnicze
stopy aluminium
jakość odlewów
chropowatość powierzchni
defekty
Opis:
The presented work is aimed to deal with the influence of changes in the value of negative (relative) pressure maintained in the die cavity of pressure die casting machine on the surface quality of pressure castings. The examinations were held by means of the modified Vertacast pressure die casting machine equipped with a vacuum system. Castings were produced for the parameters selected on the basis of previous experiments, i.e. for the plunger velocity in the second stage of injection at the level of 4 m/s, the pouring temperature of the alloy equal to 640°C, and the die temperature of 150°C. The examinations were carried on for three selected values of negative gauge pressure: - 0.03, - 0.05, and - 0.07 MPa. The quality of casting was evaluated by comparing the results of the surface roughness measurements performed for randomly selected castings. The surface roughness was measured by means of Hommel Tester T1000. After a series of measurements it was found that the smoothest surface is exhibited by castings produced at negative gauge pressure value of - 0.07 MPa.
Źródło:
Archives of Foundry Engineering; 2014, 14, 2; 23-26
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
    Wyświetlanie 1-6 z 6

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