Zobrazeno 1 - 10
of 153
pro vyhledávání: '"Sheet metal forming simulation"'
Autor:
Schönbach, Thomas, Steininger, Volker
Die Blechumformungsimulation hat sich in den letzten 25 Jahren stark weiterentwickelt. Die Simulation des gesamten Tiefziehprozesses einschließlich Beschneiden, Bördeln und Rückfedern ist bei den meisten Automobilherstellern und Werkzeugbaubetrieb
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A88299
https://tud.qucosa.de/api/qucosa%3A88299/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A88299/attachment/ATT-0/
Autor:
Schönbach, Thomas, Steininger, Volker
Sheet metal forming simulation has greatly evolved over the last 25 years. Simulation of the entire deep drawing process including trimming, flanging and springback is a standard procedure at most automotive OEMs and tool shops. Using LS-DYNA, one of
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A88300
https://tud.qucosa.de/api/qucosa%3A88300/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A88300/attachment/ATT-0/
Autor:
Rogelio Perez-Santiago, Nicolas J. Hendrichs, Gustavo Capilla-González, Elisa Vázquez-Lepe, Enrique Cuan-Urquizo
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5705 (2024)
Estimation of the loading conditions during incremental sheet forming is important for designing dedicated equipment, safely utilizing adapted machinery, and developing online process control strategies or trajectory compensation for robot compliance
Externí odkaz:
https://doaj.org/article/4fd18969dd5f454991a3a6f2093890ca
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:
Hittite Journal of Science and Engineering, Vol 2, Iss 2, Pp 151-157 (2015)
In order to obtain proper and sufficiently precise results from metal forming simulations, accurate material data should be input to the simulation software. One of the most important input for the simulation software is the flow curve yield curve of
Externí odkaz:
https://doaj.org/article/5582a523180b4ec188365ba4f9b6701b
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Ton van den Boogaard, B. Carleer, Johan Pilthammar, Mats Sigvant, J. Hol, Jan Harmen Wiebenga, T. Chezan
Publikováno v:
Procedia manufacturing, 29, 512-519. Elsevier
The quality of sheet metal formed parts is strongly dependent on the tribology and friction conditions that are acting in the actual forming process. These friction conditions are then dependent on the tribology system, i.e. the applied sheet materia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c77ddcefcf9922447ba602f495b7279
https://doi.org/10.1016/j.promfg.2019.02.169
https://doi.org/10.1016/j.promfg.2019.02.169
Publikováno v:
International Journal of Mechanical Sciences. 150:548-560
In this paper, an improved anisotropic elasto-plastic model strongly coupled with isotropic ductile damage is investigated. The quadratic Hill’48 yield criterion and non-linear isotropic/kinematic hardening are considered in the associated flow rul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::127a25ea6b9224dfedc1c2e5a2a95c44
https://doi.org/10.1016/j.ijmecsci.2018.10.044
https://doi.org/10.1016/j.ijmecsci.2018.10.044
Publikováno v:
ESAFORM 2021.
Shortened product development processes in automotive industry combined with the upcoming lack of experts do challenge sheet metal part production fundamentally. Tryout time and manufacturing costs of large forming dies today are significantly influe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::247d2b6bdc98a61f83de06890d4ad54e
https://doi.org/10.25518/esaform21.1954
https://doi.org/10.25518/esaform21.1954
A new method for sampling virtual experiments on the initial yield surface is introduced for the plane stress state. The method is based on a machine learning technique called active learning, which can be used to adaptively sample a parameter space
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12763e861f5c5ea2504a41c4469bc1bb
https://publica.fraunhofer.de/handle/publica/268027
https://publica.fraunhofer.de/handle/publica/268027