Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Miroslav Paľo"'
Autor:
Peter Horňák, Daniel Kottfer, Karol Kyzioł, Marianna Trebuňová, Janka Majerníková, Łukasz Kaczmarek, Jozef Trebuňa, Ján Hašuľ, Miroslav Paľo
Publikováno v:
Materials, Vol 13, Iss 16, p 3576 (2020)
The present work studies the tungsten carbide (WC/C) coatings deposited by using Plasma Enhanced Chemical Vapor Deposition (PECVD), with and without gases of Ar and N2. Volatile hexacarbonyl of W was used as a precursor. Their mechanical and tribolog
Externí odkaz:
https://doaj.org/article/fa19ae3ff7dc43e4aff95f694953ab80
Publikováno v:
Acta Mechanica Slovaca. 24:20-28
Article presents results of research activities in the area of the cutting tool condition monitoring using force signals as indices of tool wear and tool failure when hard turning. Cutting force authentically reflects changes in the tool during cutti
Autor:
Marianna Trebuňová, Janka Majerníková, Łukasz Kaczmarek, Daniel Kottfer, Karol Kyzioł, Miroslav Paľo, Jozef Trebuňa, Peter Horňák, Ján Hašuľ
Publikováno v:
Materials
Volume 13
Issue 16
Materials, Vol 13, Iss 3576, p 3576 (2020)
Volume 13
Issue 16
Materials, Vol 13, Iss 3576, p 3576 (2020)
The present work studies the tungsten carbide (WC/C) coatings deposited by using Plasma Enhanced Chemical Vapor Deposition (PECVD), with and without gases of Ar and N2. Volatile hexacarbonyl of W was used as a precursor. Their mechanical and tribolog
Publikováno v:
Materials Science Forum. 862:3-10
Titanium alloy Ti6Al4V represents one of the most frequently used alloys in medical as well as in aerospace industry and is considered as a difficult to cut material. In this paper, cutting experiments within throughput drilling were carried out unde
Autor:
Miroslav Paľo, Peter Brziak, Peter Bernasovský, Alena Košinová, Annamária Petráňová, Jana Orszaghová
Publikováno v:
Materials Science Forum. 844:59-64
The contribution summarizes some corrosion case studies of the welded steel structures, which happened in Slovakia last years. Features of cracking are illustrated on real cases of breakdowns in the petrochemical industry (SSCC and PTA-SCC of stainle
Publikováno v:
Scopus-Elsevier
This paper investigates the influence of Artificial Neural Network (ANN) architectures on its prediction capability when machining nickel based super alloy. The ANN was employed to determine surface roughness parameter Ra through cutting conditions,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b114f82867a2bc70a42551c50e6853d4
http://www.scopus.com/inward/record.url?eid=2-s2.0-84991052007&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84991052007&partnerID=MN8TOARS