Journal
PROCEEDINGS OF 21ST INTERNATIONAL ESAFORM CONFERENCE ON MATERIAL FORMING (ESAFORM 2018)
Volume 1960, Issue -, Pages -Publisher
AMER INST PHYSICS
DOI: 10.1063/1.5034931
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Funding
- Spanish Ministry of Economy and Com-petitiveness [DPI2017-85139-C2-1-R, DPI2015-72365-EXP]
- Regional Government of Aragon
- European Social Fund [T88]
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We present a novel method, within the realm of data-driven computational mechanics, to obtain reliable and thermodynamically sound simulation from experimental data. We thus avoid the need to fit any phenomenological model in the construction of the simulation model. This kind of techniques opens unprecedented possibilities in the framework of data-driven application systems and, particularly, in the paradigm of industry 4.0.
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