Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Miroslav Urbánek"'
Autor:
Abhilash Kiran, Ying Li, Martina Koukolíková, Michal Brázda, Josef Hodek, Miroslav Urbánek, Ján Džugan, Srinivasan Raghavan, Josef Odehnal
Publikováno v:
Materials, Vol 15, Iss 12, p 4165 (2022)
In the present study, the effect of material deposition at the elevated temperature baseplate on the microstructure and mechanical properties was investigated and correlated to the unique thermal history by using numerical simulation. Numerical resul
Externí odkaz:
https://doaj.org/article/4139b39aa307493e8517017360a6d4a6
Publikováno v:
Materials, Vol 15, Iss 7, p 2545 (2022)
The advancement in additive manufacturing encourages the development of simplified tools for deep and swift research of the technology. Several approaches were developed to reduce the complexity of multi-track modeling for additive manufacturing. In
Externí odkaz:
https://doaj.org/article/f5e4bd3735304161b0f2b9caa4c5303b
Autor:
Miroslav Urbánek, Josef Hodek, Daniel Melzer, Martina Koukolíková, Antonín Prantl, Jaroslav Vavřík, Michal Brázda, Petr Martínek, Sylwia Rzepa, Jan Džugan
Publikováno v:
Materials, Vol 15, Iss 3, p 806 (2022)
Additive manufacturing (AM) becomes a more and more standard process in different fields of industry. There is still only limited knowledge of the relationship between measured material data and the overall behaviour of directed energy deposition (DE
Externí odkaz:
https://doaj.org/article/1fad6c1edba24e6abc957f6276c6cfc0
Publikováno v:
Materials, Vol 14, Iss 18, p 5129 (2021)
The microstructural morphology in additive manufacturing (AM) has a significant influence on the building structure. High-energy concentric heat source scanning leads to rapid heating and cooling during material deposition. This results in a unique m
Externí odkaz:
https://doaj.org/article/00c04a3f45664bebafd68682c7f69d90
Autor:
Kateřina Rubešová, Martin Rund, Sylwia Rzepa, Hana Jirková, Štěpán Jeníček, Miroslav Urbánek, Ludmila Kučerová, Pavel Konopík
Publikováno v:
Metals, Vol 11, Iss 3, p 484 (2021)
Sheet metal forming boundaries are established using the forming limit diagram (FLD). The Nakajima and Marciniak tests, which are based on stretching a material using a punch, are the most commonly used methods for determining the FLD or fracture for
Externí odkaz:
https://doaj.org/article/5a1c49c2c38c42b1b519ab1da1c44dbf
Publikováno v:
Materials, Vol 13, Iss 11, p 2666 (2020)
The rapid growth of Additive Manufacturing (AM) in the past decade has demonstrated a significant potential in cost-effective production with a superior quality product. A numerical simulation is a steep way to learn and improve the product quality,
Externí odkaz:
https://doaj.org/article/2b634810d4274ca6bcb4f72dd9e3c725
Autor:
Jan Čermák, Miroslav Urbánek
Publikováno v:
Opuscula Mathematica, Vol 26, Iss 3, Pp 421-429 (2006)
In this paper, we present some asymptotic results related to the scalar dynamic equation with a delayed argument. Using the time scale calculus we generalize some results known in the differential and difference case to the more general dynamic case.
Externí odkaz:
https://doaj.org/article/f869598e4a074dfba9f86b16089b0b9b
Publikováno v:
International Journal of Material Forming. 13:371-381
The Forming Limit Diagram (FLD) is an essential tool to assess sheet metal formability in sheet metal deep drawing. In FLDs/FLC (Forming Limit Curve) is representation of material formability limits at which material is not able to withstand higher d
Autor:
Miroslav Urbánek, Josef Hodek
Publikováno v:
SSRN Electronic Journal.
This study deals with an investigation of bulk parts created by an additive manufacturing (AM) process. Numerical simulation of the AM process was used for describing thermal behaviour of bulk parts during the production process. Industrial metal 3D
Publikováno v:
Materials
Materials, Vol 13, Iss 2666, p 2666 (2020)
Volume 13
Issue 11
Materials, Vol 13, Iss 2666, p 2666 (2020)
Volume 13
Issue 11
The rapid growth of Additive Manufacturing (AM) in the past decade has demonstrated a significant potential in cost-effective production with a superior quality product. A numerical simulation is a steep way to learn and improve the product quality,