Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Amèvi Tongne"'
Publikováno v:
Metals, Vol 10, Iss 9, p 1244 (2020)
The severe deformation and temperature paths in the stir zone, also called weld nugget, of friction stir welded joints result, at very local levels, in significant microstructural variations, such as major differences in grain size or precipitation.
Externí odkaz:
https://doaj.org/article/87a572fcab2c4d0d8042af2108ec4fde
Publikováno v:
Metals, Vol 13, Iss 10, p 1746 (2023)
This study presents a novel and thorough approach to comprehending and simulating the DRX process while hot compressing steel. To achieve this goal, we studied the high-temperature deformation behavior of a medium-carbon steel through hot compression
Externí odkaz:
https://doaj.org/article/8f796a98f05f43c49db47a3b53aa5413
Publikováno v:
Metals, Vol 13, Iss 3, p 633 (2023)
In the present work, a critical analysis of the most-commonly used analytical models and recently introduced ANN-based models was performed to evaluate their predictive accuracy within and outside the experimental interval used to generate them. The
Externí odkaz:
https://doaj.org/article/436e7c4498cd483191de4e28fe0c8973
Publikováno v:
AI and Ethics. 2:553-577
Publikováno v:
World Journal of Engineering and Technology.
Non-linear numerical modeling is increasingly used for the simulation of complex processes such as forming or machining. The constitutive laws necessary for these simulations are therefore becoming more and more complex regarding the increasingly pre
Publikováno v:
Advances in Engineering Software. 175:103339
Publikováno v:
Finite Elements in Analysis and Design
Finite Elements in Analysis and Design, Elsevier, 2022, 198, pp.103647. ⟨10.1016/j.finel.2021.103647⟩
Finite Elements in Analysis and Design, Elsevier, 2022, 198, pp.103647. ⟨10.1016/j.finel.2021.103647⟩
International audience; Machine learning techniques are increasingly used to predict material behavior in scientific applications and offer a significant advantage over conventional numerical methods. In this work, an Artificial Neural Network (ANN)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f037c15c0efb140263cfe93ca664e5b3
https://hal.archives-ouvertes.fr/hal-03467781
https://hal.archives-ouvertes.fr/hal-03467781
Publikováno v:
Comptes Rendus Mécanique. 347:944-952
Studies dedicated to the homogenization approach of microcracked media are largely focused on the determination of effective elastic properties. Some works investigate other properties, but most of them consider only open cracks. This paper intends t
Publikováno v:
Computational Science and AI in Industry (CSAI 2021)
Computational Science and AI in Industry (CSAI 2021), Jun 2021, Trondheim, Norway. pp.0
HAL
Computational Science and AI in Industry (CSAI 2021), Jun 2021, Trondheim, Norway. pp.0
HAL
International audience; Neural networks are becoming more and more important in scientific applications, and their field of application is expanding every day, especially in the field of numerical simulation by finite elements method. We present the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::22be68af6a5ed1caef14c63f637c02db
https://hal.archives-ouvertes.fr/hal-03467757
https://hal.archives-ouvertes.fr/hal-03467757
Publikováno v:
14th WCCM-ECCOMAS Congress.
The Selective Laser Melting (SLM) process is the subject of numerous researches for a few decades. Manufactured parts experience very high heating and cooling rates along the laser beam path and suffer an extensive range of temperatures. These high h