Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Gael Mathis"'
Publikováno v:
Alexandria Engineering Journal, Vol 57, Iss 3, Pp 1905-1915 (2018)
In this paper, we study a multicriteria shape design of a highly nonlinear mechanical 2D structure, namely the shape optimization of the aerosol can bottom. In fact, it is made depending on two criteria, the dome growth DG and the dome reversal press
Externí odkaz:
https://doaj.org/article/3f83db9738f84ba783d407d20ad98ae8
Publikováno v:
In Journal of Computational Design and Engineering July 2016 3(3):215-225
Publikováno v:
In Journal of Computational Design and Engineering July 2015 2(3):165-175
Autor:
Nikolaos Matskanis, Alexander Ebel, Marcus J. Neuer, Francesca Marchiori, Luca Piedimonti, Gael Mathis, Andreas Wolff
Publikováno v:
IFAC-PapersOnLine. 49:232-237
A multi-agent system for the steel production is presented. It re-allocates off-spec products to existing alternative orders. The system consists of three main Industry 4.0 components: agents, service-oriented architecture (SOA) and a semantic modell
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:
Alexandria Engineering Journal
Alexandria Engineering Journal, 2017, pp.12. ⟨10.1016/j.aej.2017.03.036⟩
Alexandria Engineering Journal, Elsevier, 2017, pp.12. ⟨10.1016/j.aej.2017.03.036⟩
Alexandria Engineering Journal, Vol 57, Iss 3, Pp 1905-1915 (2018)
Alexandria Engineering Journal, 2017, pp.12. ⟨10.1016/j.aej.2017.03.036⟩
Alexandria Engineering Journal, Elsevier, 2017, pp.12. ⟨10.1016/j.aej.2017.03.036⟩
Alexandria Engineering Journal, Vol 57, Iss 3, Pp 1905-1915 (2018)
In this paper, we study a multicriteria shape design of a highly nonlinear mechanical 2D structure, namely the shape optimization of the aerosol can bottom. In fact, it is made depending on two criteria, the dome growth DG and the dome reversal press
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8515c0f6aab69157cfa8e92eefe12a40
https://inria.hal.science/hal-01575721/document
https://inria.hal.science/hal-01575721/document