Nowa wersja platformy, zawierająca wyłącznie zasoby pełnotekstowe, jest już dostępna.
Przejdź na https://bibliotekanauki.pl
Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników

Znaleziono wyników: 29

Liczba wyników na stronie
first rewind previous Strona / 2 next fast forward last
Wyniki wyszukiwania
help Sortuj według:

help Ogranicz wyniki do:
first rewind previous Strona / 2 next fast forward last
1
Content available remote Wpływ powłoki ochronnej na zjawiska cieplne w rdzeniach odlewniczych
100%
PL
W artykule przedstawiono wyniki badań dotyczące wpływu powłok ochronnych na zachowanie się rdzeni formierskich w podwyższonych temperaturach. Jako kryterium oceny zastosowano parametr hot distortion. Otrzymane wyniki badań pokazują, że nie tylko rodzaj osnowy ma wpływ na zachowanie rdzeni, ale także zastosowanie powłoki ochronnej. Grubość powłoki nie ma wpływu na zachowanie rdzeni w czasie deformacji cieplnej.
EN
The influence of coating thickness and sand grains type on sample behavior in high temperature was qualified. As a criterion of estimate of the cores behaviour, the hot distortion test was applied. The received results of investigations show, that the type of sand grains has influence on cores behavior during thermal destruction. The coating thickness has not an effect on changes of cores behavior, during the thermal destruction.
2
Content available remote Selected parameters of moulding sands for designing quality control systems
100%
EN
One of the modern methods of production optimisation are artificial neural networks. Neural networks owe their popularity to the fact that they are convenient tools, which can be utilised in a wide scope of problems. They are capable of reflecting complex functions. Especially their non-linearity should be emphasised. They are gaining wider and wider application in the foundry industry, among others, to control melting processes in cupolas and arc furnaces, designing castings and supply systems, control of moulding sands treatments, prediction of properties of cast alloys as well as selecting die casting. An attempt of the application neural networks to the quality control of moulding sands with bentonite is presented in the paper. This is a method of assessing the suitability of moulding sands by finding correlations in between individual parameters, by means of artificial neural network systems. The presented investigations were performed with the application of the Statistica 8.0 program. The investigations were aimed at the selection of the proper kind of a neural network for prediction a sand moistness on the bases of certain moulding sand properties such as: permeability, compactibility and friability. These parameters – determined as sand moistness functions - were introduced as initial parameters. Application of the Statistica program allowed for an automatic selection of the most suitable network for the reflection of dependencies and interactions existing among the proposed parameters. The best results were obtained for unidirectional multi-layer perception network (MLP). The neural network sensitivity to individual moulding sand parameters was determined, which allowed to reject not important parameters when constructing the network.
3
Content available remote The usage of data mining tools for green moulding sands quality control
100%
EN
High competition on the international casting market and customers requirements concerning the casts quality forced foundries to keep introducing more advanced technological, economical and ecological solutions. IT solutions have recently become their integral part. They are usually related to such areas like information flow and logistics. Computer systems allow to define and create processes databases, update data, to follow parameters affecting the quality and use collected data to control current quality. One of the modern methods for production optimization is using artificial neural networks (ANN). Neural networks have been very popular during last years, because ANN can use collected past data what could be very helpful in solving important industrial problems. This article presents the comparison of two types of data mining tools for green moulding sands properties analysis, such as artificial neural networks and a naive Bayesian classifier. The tests were performed using collected data sets. An attempt to use artificial neural networks (ANN) for green moulding sands quality control is also presented.
PL
Wysoka konkurencja na międzynarodowym rynku odlewniczym, a także wysokie wymagania klientów odnośnie do jakości odlewów, zmuszają odlewnie do wprowadzania coraz doskonalszych rozwiązań technologicznych, ale także ekonomicznych i ekologicznych. Ich integralna częścią stają się ostatnio także rozwiązania informatyczne. Te ostatnie dotyczą coraz częściej takich obszarów jak przepływy informacji i logistyka. Postep ten dokonuje się poprzez wdrożenia rozwiązań systemowych. Systemy informatyczne powinny pozwalać na definiowanie i tworzenie baz danych o procesach, śledzić parametry wpływające na jakość, aktualizowac bazy danych, a pozyskiwane informacje wykorzystywac do bieżącego sterowania jakością i do jej analiz. Jedna z nowoczesnych metod optymalizacji produkcji są sztuczne sieci neuronowe. Sztuczne sieci neuronowe wykorzystują bazy zgromadzonych danych i mogą być bardzo pomocne w rozwiazywaniu problemów produkcyjnych. W artykule zaprezentowano porównanie narzędzi analizy danych, takich jak sztuczne sieci neuronowe i naiwny klasyfikator Bayesa do analizy właściwości syntetycznych mas formierskich. Analizy wykonano wykorzystując zgromadzone dane doświadczalne. Przedstawiono próbe zastosowania sztucznych sieci neuronowych do sterowania jakością syntetycznych mas formierskich.
EN
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. The presented investigations were aimed at the selection of the neural network able to predict the active bentonite content in the moulding sand on the basis of this sand properties such as: permeability, compactibility and the compressive strength. Then, the data of selected parameters of new moulding sand were set to selected artificial neural network models. This was made to test the universality of the model in relation to other moulding sands. An application of the Statistica program allowed to select automatically the type of network proper for the representation of dependencies occurring in between the proposed moulding sand parameters. The most advantageous conditions were obtained for the uni-directional multi-layer perception (MLP) network. Knowledge of the neural network sensitivity to individual moulding sand parameters, allowed to eliminate not essential ones.
EN
The article discusses the issue of the influence of furfuryl alcohol content in resin binders on properties of moulding sand at elevated temperature. Reducing the share of this component - due to the requirements of the European Union regarding its toxicity - may cause a decrease in temperature of moulding sands’ destruction and, consequently, the thermal deformation of moulds and the creation of many casting defects. The study examined the impact of the furfuryl alcohol content of the thermal destruction processes and on the strength of the moulding sand at an ambient temperature and the tendency to thermal deformation.
PL
W artykule omówiono zagadnienie wpływu zawartości alkoholu furfurylowego w spoiwach żywicznych na właściwości mas formierskich w podwyższonej temperaturze. Zmniejszenie udziału tego składnika – spowodowane wymaganiami Unii Europejskiej odnośnie jego toksyczności – może powodować obniżenie temperatur destrukcji masy, a w konsekwencji deformację cieplną form i powstanie wielu wad odlewniczych. W pracy przebadano wpływ zawartości alkoholu furfurylowego na procesy cieplnej destrukcji spoiwa a także na wytrzymałość masy w temperaturze otoczenia oraz skłonność do deformacji cieplnej.
EN
Modern techniques of castings production, including moulding sands production, require a strict technological regime and high quality materials. In the case of self-hardening moulding sands with synthetic binders those requirements apply mainly to sand, which adds to more than 98% of the whole moulding sand mixture. The factors that affect the quality of the moulding sands are both chemical (SiO2, Fe2O3 and carbonates content) and physical. Among these factors somewhat less attention is paid to the granulometric composition of the sands. As a part of this study, the effect of sand quality on bending strength Rgu and thermal deformation of self-hardening moulding sands with furfural and alkyd resin was assessed. Moulding sands with furfural resin are known [1] to be the most susceptible to the sand quality. A negative effect on its properties has, among others, high content of clay binder and so-called subgrains (fraction smaller than 0,1mm), which can lead to neutralization of acidic hardeners (in the case of moulding sands with furfuryl resin) and also increase the specific surface, what forces greater amount of binding agents. The research used 5 different quartz sands originating from different sources and characterized with different grain composition and different clay binder content.
9
Content available remote The estimation of ability to reclame of moduling sands with biopolymer binders
80%
EN
Applied up till now organic binding materials, on the basis of synthetic resins are characterised by good technological properties, but cause high emission of harmful substances. That's why contemporary scientific researches are leading to progressive replacing the binders obtained from petrochemical materials with polymer biocomposites coming from renewable resources. Increasing concern of aliphatic polyesters such as polylactide, polycaprolactone, poly(hydroxyalkanoates) and aliphatic-aromatic polyesters is caused by the possibility of using them for producing many biodegradable products. In that context it is important to expand the researches connected to using biopolymers as moulding sands binders. Contemporary authors' papers were focused on technological properties and harmfulness for the environment of this ecological moulding sands. This article takes into consideration the ability to reclamation of moulding sands with biopolymer binders.
10
80%
EN
One of the modern methods of the production optimisation are artificial neural networks. Neural networks owe their popularity to the fact that they constitute convenient tools, which can be applied in an extremely broad research scope. This is caused by their ability to represent complex functions. Their non-linearity should be specially emphasised. Neural networks are gaining broader and broader application in the foundry industry, among others for controlling melting processes in cupolas and in arc furnaces, for designing castings and supply systems, for controlling moulding sand processing, for predicting properties of cast alloys or selecting parameters of pressure castings. 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. The presented investigations were obtained by using the Statistica 9.0 program. The aim of the investigations was to select the neural network suitable for prediction the moulding sand moisture on the basis of the determined sand properties such as: permeability, compactibility, friability and compressive strength in dependence on the matrix grain size.
11
80%
EN
One of the modern methods of the production optimisation are artificial neural networks. Neural networks are gaining broader and broader application in the foundry industry, among others for controlling melting processes in cupolas and in arc furnaces, for designing castings and supply systems, for controlling moulding sand processing, for predicting properties of cast alloys or selecting parameters of pressure castings. 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. The presented investigations were obtained by using the Statistica 9.0 program. The presented investigations were aimed at the selection of the neural network able to predict the active bentonite content in the moulding sand on the basis of this sand properties such as: permeability, compactibility and the compressive strength. An application of the Statistica program allowed to select automatically the type of network proper for the representation of dependencies occurring in between the proposed moulding sand parameters. The most advantageous conditions were obtained for the uni-directional multi-layer perception (MLP) network. Knowledge of the neural network sensitivity to individual moulding sand parameters, allowed to eliminate not essential ones.
EN
The article takes into consideration technological and ecological aspects of IV generation moulding sands. Investigations concerning an application of biopolymer materials as binders for moulding sands are presented in the paper. These investigations are the continuation of examinations related to applications of various biopolymers as binding agents and to the properties of the moulding sands with biopolymer binders. In the paper there are the researches concerning analyzing gases emitted from moulding sands during heating.
13
80%
EN
The complexity of foundry processes requires the use of modern, advanced IT tools for optimization, storage and analysis of technical data. Properties of moulding and core sands that are collected in research laboratories, manufacturers, and finally in the foundries, are not in use later on. It seems important to create a database that will allow to use the results stored, along with the possibility of searching according to set criteria, adjusted to casting practice. This paper presents part of the database named "MouldingSandDB", which allows to collect and search data for synthetic moulding sands.
PL
Powłoki ochronne stosuje się w celu uzyskania odlewów o gładkiej powierzchni, bez wad. Powłoki ochronne mogą zawierać rozpuszczalnik na bazie wody lub alkoholu, jednak ze względu na szkodliwość zaleca się ograniczenie stosowania powłok alkoholowych. Sposób nanoszenia powłok na powierzchnię rdzenia lub formy zależy od wymagań i potrzeb wykonawcy. W niniejszym artykule zamieszczono wyniki badań, przedstawiające wpływ grubości powłoki ochronnej z różną zawartością rozcieńczalnika na wybrane właściwości mas. Badaniom poddano masy II generacji wiązane spoiwami organicznymi i nieorganicznymi. Określony został wpływ grubości powłoki na wytrzymałość na zginanie w funkcji wielkości odkształcenia. Kształtki poddano również badaniom parametru hot distortion. Dodatkowo wykonano zdjęcia mikroskopowe przedstawiające głębokość penetracji powłoki w głąb masy. Badania parametru hot distortion wykazały, że w zależności od rodzaju spoiwa zastosowanego w masie dodatek rozcieńczalnika do powłoki przynosi odmienne efekty.
EN
Protective coatings are applied in order to obtain casts with an even surface, without faults. Protective coatings can contain a solvent based on water or alcohol; however, due to their harmfulness, it is recommended to limit the use of alcohol coatings. The manner of applying the coatings onto the surface of a core or a mould depends on the requirements and needs of the executor. This article presents test results demonstrating the effect of the thickness of a protective coating, with different solvent contents, on selected properties of masses. The studies were performed on II generation masses bound with organic and inorganic binders. The effect of the coating’s thickness on the bending strength as a function of deformation degree was determined. The profiles were also tested in respect of the hot distortion parameter. Additionally, microscopic photos were taken showing the depth of the coating’s penetration towards the inside of the mass. The hot distortion parameter tests showed that, depending on the type of binder used in the mass, the addition of a diluent produces different results.
PL
Niniejszy artykuł dotyczy ekologicznych mas z uwodnionym krzemianem sodu jako spoiwem. Nieorganiczny charakter spoiwa – zapewniający niską szkodliwość dla środowiska - powoduje jednak złą wybijalność oraz małą zdolność do regeneracji mechanicznej mas. W niniejszym artykule autorzy skupili się na opracowaniu nowego składu tych przyjaznych dla środowiska mas formierskich- zapewniając ich lepszą wybijalność. W wyniku analizy danych literaturowych i badań własnych zastosowano do mas z uwodnionym krzemianem sodu nowe dodatki zawierające Al2O3. Dodatki te zapewniają lepszą wybijalność masy określaną na podstawie pomiaru wytrzymałości końcowej na ściskanie Rctk, a także pomiaru ekspansji cieplnej mas. Autorzy opracowali nowy dodatek zawierający Al2O3 i wykazali jego pozytywny wpływ na wybijalność mas z uwodnionym krzemianem sodu.
EN
The article is devoted to ecological foundry moulding sands with hydrated sodium silicate as a binder. Unfortunately the inorganic nature of the binder results in moulding sand’s poor knock-out properties and low ability to mechanical reclamation. In the present study authors focused on developing a new addition to these environmental friendly foundry moulding sands, given them better knock-out properties. The analysis of the literature data and own researches let authors usage of additives containing Al2O3 as components of moulding sands with hydrated sodium silicate. These additives provide better knock-out properties of moulding sands measured according to retained strength Rctk and also lead to lower thermal expansion of moulding sands. The authors have developed a new additive containing Al2O3 and proved its positive impact on moulding sand with hydrated sodium silicate knock-out properties.
18
80%
EN
The influence of coating type and thickness on sample behavior in high temperature was qualified. The received results of investigations show, that the type of coatings has influence on cores behavior during thermal destruction. The coating thickness has not an effect on changes of cores behavior, during the thermal destruction.
PL
W artykule przedstawiono wyniki badań własnych dotyczące wpływu rodzaju i grubości powłoki na zachowanie się rdzeni odlewniczych w czasie destrukcji cieplnej. Stwierdzono, że rodzaj powłoki wpływa na wielkość odkształcenia cieplnego. Widoczny jest również wpływ rodzaju powłoki na szybkość destrukcji spoiwa. Otrzymane wyniki nie pokazują jednoznacznego wpływu grubości naniesionej powłoki na zachowanie rdzeni w czasie odkształcania cieplnego.
first rewind previous Strona / 2 next fast forward last
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.