2011
DOI: 10.1063/1.3623709
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Accelerating the FE-Simulation of Roll Forming Processes with the Aid of specific Process’s Properties

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Cited by 4 publications
(8 citation statements)
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“…A reduction in the distance between roll stations to 400 mm slightly reduced the total computational time due to a shorter initial length of the sheet, l = 1000 mm compared to l = 1200 mm. In the previous research of Abrass et al, the computational time was reduced by 55 %. Due to advances in the numerical solvers and computer processing units, the conventional simulation of the complex profile nearly required the same time as that of the U profile.…”
Section: Reduction In the Computational Time By The Sseamentioning
confidence: 95%
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“…A reduction in the distance between roll stations to 400 mm slightly reduced the total computational time due to a shorter initial length of the sheet, l = 1000 mm compared to l = 1200 mm. In the previous research of Abrass et al, the computational time was reduced by 55 %. Due to advances in the numerical solvers and computer processing units, the conventional simulation of the complex profile nearly required the same time as that of the U profile.…”
Section: Reduction In the Computational Time By The Sseamentioning
confidence: 95%
“…The basics of extrapolation technique is described in refs. The SSEA generates a new output file containing all extrapolated data. This output file is considered as an initial condition in restarting the conventional simulation. The rolls are moved in longitudinal direction by distance “s” and the conventional simulation is restarted. The process repeats until forming is performed in all stations.…”
Section: Steady State Extrapolation Algorithm (Ssea)mentioning
confidence: 99%
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