DSpace Repository :: Browsing by Author "Gurgul, Daniel"

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Analiza możliwości stosowania otulin egzotermicznych na osłonę nadlewu z wykorzystaniem wspomagania komputerowego.

(Data obrony: 2019-10-15) Polański, Kamil
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Analiza komputerowa poprawności wybranej technologii wykonywania odlewu przemysłowego

(Data obrony: 2018-07-13) Chmiel, Mateusz
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Analiza komputerowa poprawności wybranej technologii wykonywania odlewu przemysłowego

(Data obrony: 2018-07-13) Chmiel, Mateusz
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Analiza węzłów cieplnych

(Data obrony: 2019-03-15) Sołtysik, Wojciech
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Analiza węzłów cieplnych powstałych w połączeniu ścianek odlewu o różnej grubości

(Data obrony: 2018-01-31) Żuk, Mateusz Wojciech
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Analiza wpływu ochładzalnika i otuliny egzotermicznej na kształtowanie wad skurczowych w odlewach z żeliwa sferoidalnego z wykorzystaniem oprogramowania komputerowego

(Data obrony: 2016-09-29) Mucha, Konrad
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Automatyczne rozpoznawanie operacji bryłowych podczas importu brył do programu SolidWorks zapisanych w uniwersalnych formatach

(Data obrony: 2017-02-03) Śliwa, Bartłomiej Józef
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Article

Open Access

Derivation of equations for a size distribution of spherical particles in non-transparent materials

(AGH University of Science and Technology Press, 2021) Gurgul, Daniel; Burbelko, Andriy A.; Wiktor, Tomasz

This paper presents a new proposition on how to derive mathematical formulas that describe an unknown Probability Density Function (PDF$_{3}$) of the spherical radii ($r_{3}$) of particles randomly placed in non-transparent materials. We have presented two attempts here, both of which are based on data collected from a random planar cross-section passed through space containing three-dimensional nodules. The first attempt uses a Probability Density Function (PDF$_{2}$) the form of which is experimentally obtained on the basis of a set containing two-dimensional radii ($r_{2}$). These radii are produced by an intersection of the space by a random plane. In turn, the second solution also uses an experimentally obtained Probability Density Function (PDF$_{1}$). But the form of PDF$_{1}$ has been created on the basis of a set containing chord lengths collected from a cross-section. The most important finding presented in this paper is the conclusion that if the PDF$_{1}$ has proportional scopes, the PDF$_{3}$ must have a constant value in these scopes. This fact allows stating that there are no nodules in the sample space that have particular radii belonging to the proportional ranges the PDF1.

Thesis

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Generowanie brył 3D w SolidWorks na podstawie rysunków 2D

(Data obrony: 2017-02-03) Heliasz, Sebastian
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Doctoral Dissertation

Open Access

Model krystalizacji w układzie dwuskładnikowym z udziałem trzech faz z wykorzystaniem automatu komórkowego

(2006-11-13) (Data obrony: 2011) Gurgul, Daniel
Wydział Odlewnictwa

In the first part of thesis an overview of modeling of cast iron solidification is presented. It is a short historical re-view, starting with analytical models and ending with fully numerical. The characteristics of individual models are briefly described. Chapter "Model description" presents a detailed description of the model of ductile iron solidification. It is based on cellular automaton technique. Its characteristic feature is that the shape of growing austenite and graphite grains is not supposed a priori, but is the result of model calculations. The model takes into account such phenomena as heat transfer, diffusion of carbon in liquid and austenite, release of latent heat and its impact on the conditions prevailing at the front of solidification, nucleation of austenite and graphite. The model takes into consideration nonequilibrium nature of phase transformations and the effect of curvature of the interphase boundaries on the temperature of thermodynamic equilibrium. In the experimental part simulations of ductile iron solidification were performed for hypoeutectic, eutectic and hypereutectic composition. The modeling results were compared with experimental results which were obtained for ductile iron with hypoeutectic composition and for so called transparent model substance. The modeling cooling curve was compared with the real cooling curve. In order to qualitatively comparison of calculated microstructures they were compare with real microstructures of the experimental castings.