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Knowledge Based Cloud FE simulation – data-driven material characterization guidelines for the hot stamping of aluminium alloys
File(s)
Author(s)
Wang, A
Zheng, Y
Liu, J
El Fakir, O
Masen, M
Type
Conference Paper
Abstract
The Knowledge Based Cloud FEA (KBC-FEA) simulation technique allows multi-objective FE simulations to be conducted on a cloud-computing environment, which effectively reduces computation time and expands the capability of FE simulation software. In this paper, a novel functional module was developed for the data mining of experimentally verified FE simulation results for metal forming processes obtained from KBC-FE. Through this functional module, the thermo-mechanical characteristics of a metal forming process were deduced, enabling a systematic and data-driven guideline for mechanical property characterization to be developed, which will directly guide the material tests for a metal forming process towards the most efficient and effective scheme. Successful application of this data-driven guideline would reduce the efforts for material characterization, leading to the development of more accurate material models, which in turn enhance the accuracy of FE simulations.
Date Issued
2016-09-09
Date Acceptance
2016-06-07
Citation
Journal of Physics: Conference Series, 2016, 734, pp.032042-032042
URI
DOI
ISSN
1742-6588
Publisher
IOP Publishing
Start Page
032042
End Page
032042
Journal / Book Title
Journal of Physics: Conference Series
Volume
734
Copyright Statement
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
License URL
Source
10th International Conference and Workshop on Numerical Simulation of 3D Sheet Metal Forming Processes, Numisheet 2016
Subjects
Science & Technology
Physical Sciences
Physics, Applied
Physics, Multidisciplinary
Physics
DEFORMATION
BEHAVIOR
TENSILE
02 Physical Sciences
09 Engineering
Publication Status
Published
Start Date
2016-09-04
Finish Date
2016-09-09
Coverage Spatial
Bristol, United Kingdom