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The Optimization of Mechanical Alloying Conditions of Powder for the Preparation of a Fe-10Al-4Cr-4Y
Autor:
Jiří, Svoboda, Štepán, Gamanov, Denisa, Bártková, Natália, Luptáková, Petr, Bořil, Milan, Jarý, Bohuslav, Mašek, Jakub, Holzer, Petr, Dymáček
Publikováno v:
Materials (Basel, Switzerland). 15(24)
Mechanical alloying (MA) of powders represents the first processing step in the production of oxide dispersion-strengthened (ODS) alloys. MA is a time and energy-consuming process also in the production of Fe-10Al-4Cr-4Y
Autor:
Jiří Svoboda, Petr Bořil, Jakub Holzer, Natália Luptáková, Milan Jarý, Bohuslav Mašek, Petr Dymáček
Publikováno v:
Materials; Volume 15; Issue 2; Pages: 504
Materials
Materials, Vol 15, Iss 504, p 504 (2022)
Materials
Materials, Vol 15, Iss 504, p 504 (2022)
Oxide-dispersion-strengthened (ODS) Fe-Al-Y2O3-based alloys (denoted as FeAlOY) containing 5 vol. % of nano-oxides have a potential to become top oxidation and creep-resistant alloys for applications at temperatures of 1100–1300 °C. Oxide disperso
Autor:
Jiří Svoboda, Štepán Gamanov, Denisa Bártková, Natália Luptáková, Petr Bořil, Milan Jarý, Bohuslav Mašek, Jakub Holzer, Petr Dymáček
Publikováno v:
Materials; Volume 15; Issue 24; Pages: 9034
Mechanical alloying (MA) of powders represents the first processing step in the production of oxide dispersion-strengthened (ODS) alloys. MA is a time and energy-consuming process also in the production of Fe-10Al-4Cr-4Y2O3 creep and oxidation-resist
Publikováno v:
ARCHIVES OF METALLURGY AND MATERIALS. 2020, vol. 66, issue 1, p. 37-41.
For the EN GX4CrNi13-4 martensitic stainless steel, research was conducted to investigate the impact of the quenching intensity and the content of nickel on the mechanical properties and amount of retained austenite. It was found that the amount of r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa3390b243fa51348f45621793be64f8
https://hdl.handle.net/11012/196710
https://hdl.handle.net/11012/196710
Publikováno v:
Clinica Chimica Acta. 248:99-105
We designed a simulation model for the assessment of the financial risks involved when a new diagnostic test is introduced in the laboratory. The model is based on a neural network consisting of ten neurons and assumes that input entities can have as