Zobrazeno 1 - 10
of 857
pro vyhledávání: '"low carbon steels"'
Autor:
Jorge Muñoz-Rodenas, Francisco García-Sevilla, Valentín Miguel-Eguía, Juana Coello-Sobrino, Alberto Martínez-Martínez
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6489 (2024)
Characterizing the microstructures of steel subjected to heat treatments is crucial in the metallurgical industry for understanding and controlling their mechanical properties. In this study, we present a novel approach for generating images of steel
Externí odkaz:
https://doaj.org/article/e2f1ace03b3f4d95818e23df555fd701
Autor:
Jorge Muñoz-Rodenas, Francisco García-Sevilla, Valentín Miguel-Eguía, Juana Coello-Sobrino, Alberto Martínez-Martínez
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2297 (2024)
The utilization of convolutional neural networks (CNNs) for semantic segmentation has proven to be successful in various applications, such as autonomous vehicle environment analysis, medical imaging, and satellite imagery. In this study, we investig
Externí odkaz:
https://doaj.org/article/d0695b27747f4c05a8bafd0fc65e8e05
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Open Engineering, Vol 10, Iss 1, Pp 491-498 (2020)
Numerical simulation of laser welding dissimilar joint was presented. Results of butt joint for low carbon and austenitic steels are studied. Numerical calculations based on thermo-mechanical method and phase transformation were used for estimating w
Externí odkaz:
https://doaj.org/article/5938ac01b8254245a42ae57f507593a9
Autor:
Jorge Muñoz-Rodenas, Francisco García-Sevilla, Juana Coello-Sobrino, Alberto Martínez-Martínez, Valentín Miguel-Eguía
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 3479 (2023)
This work aims to compare the effectiveness of different machine-learning techniques for the image classification of steel microstructures. For this, we use a set of samples of hypoeutectoid steels subjected to three heat treatments: annealing, quenc
Externí odkaz:
https://doaj.org/article/1d25a75a73b5404c8854367bd9b2dd4d
Publikováno v:
Journal of Mining and Metallurgy. Section B: Metallurgy, Vol 55, Iss 1, Pp 95-99 (2019)
Annealing of deformed martensite (high-temperature tempering) in St37 steel was studied. Different reductions in thickness were considered and compared with the behavior of as-quenched martensite during tempering. tempering of the asquenched martensi
Externí odkaz:
https://doaj.org/article/ec182a5fd9054ef199b4c9fd52f456fb
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Sergey A. Nikulin, Stanislav O. Rogachev, Vladislav A. Belov, Mikhail Y. Zadorozhnyy, Nikolay V. Shplis, Mikhail M. Skripalenko
Publikováno v:
Metals, Vol 12, Iss 2, p 281 (2022)
Using a dynamic mechanical analyzer, the comparative studies of a low-cycle bending fatigue were carried out for AISI 1022 low-carbon steel after extreme thermal exposure, simulating the severe beyond-design-basis accident at nuclear power plants. In
Externí odkaz:
https://doaj.org/article/8c2089edf1c14c6a888a68bce4fa613b
Publikováno v:
Metals, Vol 12, Iss 3, p 404 (2022)
Dissimilar welding used in the automotive area are possible joints with the GMAW process; however, its structural performance must be evaluated. The focus of this work is to study the microstructural–mechanical properties of dissimilar welding DPC3
Externí odkaz:
https://doaj.org/article/b248043fa42841539ffef2f47f25a744