Zobrazeno 1 - 10
of 40
pro vyhledávání: '"casting microstructure"'
Publikováno v:
Patria Artha Technological Journal, Vol 8, Iss 1, Pp 26-29 (2024)
The purpose of this study is to determine the effect of casting temperature variations on the hardness and microstructure of used aluminium cans. The casting method used in this research is the Lost Foam Casting method with a cast temperature variati
Externí odkaz:
https://doaj.org/article/4335c9545a5e4bc3822bac58bd1c9ebb
Autor:
Piotr Mikołajczak
Publikováno v:
Archives of Foundry Engineering, Vol vol. 23, Iss No 4, Pp 72-86 (2023)
During mold filling and casting solidification, melt flow caused by gravity is present. Otherwise, forced flow may be a method applied for casting properties improvement. The flow effect generated by an electromagnetic field on the growing phases and
Externí odkaz:
https://doaj.org/article/fb95db503b0b462f90e4ab758194453a
Autor:
P. Mikolajczak
Publikováno v:
Archives of Foundry Engineering, Vol vol. 23, Iss No 3, Pp 74-87 (2023)
Convection caused by gravity and forced flow are present during casting. The effect of forced convection generated by a rotating magnetic field on the microstructure and precipitating phases in eutectic and hypoeutectic AlSiMn alloys was studied in s
Externí odkaz:
https://doaj.org/article/8fccd115c4604b2ca1218d85cd6e43f4
Autor:
Dawid Witasiak, Aldona Garbacz-Klempka, Marcin Papaj, Piotr Papaj, Maria Maj, Marcin Piękoś, Janusz Kozana
Publikováno v:
Materials, Vol 16, Iss 24, p 7593 (2023)
Thise research was conducted to determine the impact of the applied casting technology, mould and alloying additives on the tightness of the CuSn10 cast alloy. Under industrial conditions, a series of experimental melts were made that were characteri
Externí odkaz:
https://doaj.org/article/bae77efdc3d54fefbf644d8e845f21ea
Publikováno v:
Metalurgija, Vol 60, Iss 1-2, Pp 97-100 (2021)
One of the ways to produce high-quality castings at relatively inexpensive costs is lost foam casting. However, the existing problem of surface carburization due to the burnout of the polystyrene pattern and general contamination of the near-surface
Externí odkaz:
https://doaj.org/article/a8d14f61f64e4e629629477e0c28afab
Akademický článek
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Publikováno v:
Metals, Vol 11, Iss 5, p 756 (2021)
This paper investigates the determination of secondary dendrite arm spacing (SDAS) using convolutional neural networks (CNNs). The aim was to build a Deep Learning (DL) model for SDAS prediction that has industrially acceptable prediction accuracy. T
Externí odkaz:
https://doaj.org/article/6447d254bb1741e48a8de4e858c1c2d6
Publikováno v:
International Journal of Metalcasting. 17:386-398
The present research deals with the detection of porosity defects in aluminum alloys using convolutional neural networks (CNNs). The goal of this research is to build a CNN model that can accurately predict porosity defects in light optical microscop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c82242516d1bbc40aeb8bbdf96cdf29
https://doi.org/10.1007/s40962-022-00777-x
https://doi.org/10.1007/s40962-022-00777-x
Akademický článek
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Akademický článek
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