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@inproceedings{Wang:2016,
author = {Wang, A and Zheng, Y and Liu, J and El, Fakir O and Masen, M and Wang, L},
publisher = {IOP Publishing},
title = {Knowledge based cloud FE simulation a multi-objective FEA system for advanced FE simulation of hot stamping process},
url = {http://hdl.handle.net/10044/1/37440},
year = {2016}
}
TY - CPAPER
AB - . A knowledge Based Cloud (KBC) FE simulation technique has been developed to enable advanced, efficient and multi-objective finite element analyses (FEA), which operates on a cloud computing environment. The core FE simulation is conducted using a commercial FE code, e.g. PAM-STAMP, and its capability is enhanced through the implementation of advanced functional modules instead of user defined sub-routines. KBC-FE simulation offers great flexibility and variability to engineers as modules could be used collectively or individually. In this paper, case studies were conducted for the hot stamping of tailor welded blanks. Multi-objective FE simulations were performed for ‘Forming Limit’ prediction under non-isothermal and non-linear loading conditions. In addition, ‘Tool-life’ prediction was conducted under multi-cycle loading conditions.
AU - Wang,A
AU - Zheng,Y
AU - Liu,J
AU - El,Fakir O
AU - Masen,M
AU - Wang,L
PB - IOP Publishing
PY - 2016///
SN - 1742-6588
TI - Knowledge based cloud FE simulation a multi-objective FEA system for advanced FE simulation of hot stamping process
UR - http://hdl.handle.net/10044/1/37440
ER -