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Wyszukujesz frazę "Stasiak, I." wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Hypoeutectic Al-Si Alloy with Cr, V and Mo to Pressure Die Casting
Autorzy:
Szymczak, T.
Gumienny, G.
Stasiak, I.
Pacyniak, T.
Powiązania:
https://bibliotekanauki.pl/articles/382365.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
krystalizacja
odlewanie ciśnieniowe
stopy wieloskładnikowe
stopy Al-Si
metoda DTA
crystallization
pressure die casting
multicomponent Al-Si alloys
alloys Al-Si
DTA method
Opis:
This paper presents the results of hypoeutectic 226 grade alloy as well as prepared on its basis Al-Si alloy containing Cr, V and Mo. The additives tested were added as AlCr15, AlV10 and AlMo8 master alloys. Alloys tested were poured into DTA sampler as well as using pressure die casting. An amount of Cr, V and Mo additives in alloy poured into DTA sampler comprised within the range approximately 0.05-0.35%. Alloys to pressure die casting contained 0.05-0.20% Cr, V and Mo. The crystallization process was examined using the derivative thermal analysis (DTA). The microstructure of castings made in the DTA sampler as well as castings made with use of pressure die casting were examined. The basic mechanical properties of castings made using pressure die casting were defined too. It has been shown in the DTA curves of Al-Si alloy containing approximately 0.30 and 0.35% Cr, Mo, and V there is an additional thermal effect probably caused by a peritectic crystallization of intermetallic phases containing the aforementioned additives. These phases have a morphology similar to the walled and a relatively large size. The analogous phases also occur in pressure die casting alloys containing 0.10% or more additions of Cr, V and Mo. The appearance of these phases in pressure die casting Al-Si alloys coincides with a decrease in the value of the tensile strength Rm and the elongation A. It has been shown die castings made of Al-Si alloys containing the aforementioned additives have a higher Rm and A than 226 alloy.
Źródło:
Archives of Foundry Engineering; 2017, 17, 1; 153-156
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of convolutional neural networks with anatomical knowledge for brain MRI analysis in MS patients
Autorzy:
Stasiak, B.
Tarasiuk, P.
Michalska, I.
Tomczyk, A.
Powiązania:
https://bibliotekanauki.pl/articles/200542.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
multiple sclerosis
convolutional neural networks
skull stripping
ventricular system
stwardnienie rozsiane
splotowe sieci neuronowe
system komorowy
Opis:
In this paper we consider the problem of automatic localization of multiple sclerosis (MS) lesions within brain tissue. We use a machine learning approach based on a convolutional neural network (CNN) which is trained to recognize the lesions in magnetic resonance images (MRI scans) of the patient’s brain. The training images are relatively small fragments clipped from the MRI scans so – in order to provide additional hints on location of a given clip within the brain structures – we include anatomical information in the training/testing process. Our research has shown that indicating the location of the ventricles and other structures, as well as performing brain tissue classification may enhance the results of the automatic localization of the MS-related demyelinating plaques in the MRI scans.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2018, 66, 6; 857-868
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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