Zobrazeno 1 - 10 of 23 pro vyhledávání: '"Barbara Mrzygłód"'
1
Akademický článek
The Use of the XGBoost and Kriging Methods in the Prediction of the Microstructure of CGI Cast Iron
Autor: Łukasz Sztangret, Izabela Olejarczyk-Wożeńska, Krzysztof Regulski, Grzegorz Gumienny, Barbara Mrzygłód
Publikováno v: Archives of Foundry Engineering, Vol vol. 23, Iss No 4, Pp 22-33 (2023)
Compacted Graphite Iron (CGI), is a unique casting material characterized by its graphite form and extensive matrix contact surface. This type of cast iron has a tendency towards direct ferritization and possesses a complex set of intriguing properti
Externí odkaz: https://doaj.org/article/2106970af0024f98af9bd400c5ef0520
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2
Akademický článek
Clinical and Polysomnographic Features Associated with Poor Sleep Quality in Patients with Obstructive Sleep Apnea
Autor: Aleksander Kania, Kamil Polok, Natalia Celejewska-Wójcik, Paweł Nastałek, Andrzej Opaliński, Barbara Mrzygłód, Krzysztof Regulski, Mirosław Głowacki, Krzysztof Sładek, Grażyna Bochenek
Publikováno v: Medicina, Vol 58, Iss 7, p 907 (2022)
Background and Objectives: Poor sleep quality in patients with obstructive sleep apnea (OSA) may be associated with different clinical and polysomnographic features. The aim of this study was to identify features associated with poor sleep quality in
Externí odkaz: https://doaj.org/article/96b70ab74cbf47b3845ee14adfface1f
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4
Modelling the high-temperature deformation characteristics of S355 steel using artificial neural networks
Autor: Marcin Hojny, Barbara Mrzygłód, Izabela Olejarczyk-Wożeńska
Publikováno v: Archives of Civil and Mechanical Engineering. 23
In this study, artificial neural networks were used to predict the plastic flow behaviour of S355 steel in the process of high-temperature deformation. The aim of the studies was to develop a model of changes in stress as a function of strain, strain
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c3210be8534a05b9ef600837c4901f7a
https://doi.org/10.1007/s43452-022-00538-x
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5
Data-Driven Model Selection for Compacted Graphite Iron Microstructure Prediction
Autor: Grzegorz Gumienny, Barbara Kacprzyk, Barbara Mrzygłód, Krzysztof Regulski
Publikováno v: Coatings; Volume 12; Issue 11; Pages: 1676
Compacted graphite iron (CGI), having a specific graphite form with a large matrix contact surface, is a unique casting material. This type of cast iron tends to favor direct ferritization and is characterized by a complex of very interesting propert
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dbfa5366d7f38f457ce50754602087c
https://doi.org/10.3390/coatings12111676
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