Sheet metals characterization using the virtual fields method
Sheet metals characterization using the virtual fields method
In this work, a characterisation method involving a deep-notched specimen subjected to a tensile loading is introduced. This specimen leads to heterogeneous states of stress and strain, the latter being measured using a stereo DIC system (MatchID). This heterogeneity enables the identification of multiple material parameters in a single test. In order to identify material parameters from the DIC data, an inverse method called the Virtual Fields Method is employed. The method combined with recently developed sensitivity-based virtual fields allows to optimally locate areas in the test where information about each material parameter is encoded, improving accuracy of the identification over the traditional user-defined virtual fields. It is shown that a single test performed at 45°to the rolling direction is sufficient to obtain all anisotropic plastic parameters, thus reducing experimental effort involved in characterisation. The paper presents the methodology and some numerical validation.
American Institute of Physics
Marek, Aleksander
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Davis, Frances M.
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Pierron, Fabrice
a1fb4a70-6f34-4625-bc23-fcb6996b79b4
Marek, Aleksander
6d758ff6-6423-462d-88e9-d44e71df4c3d
Davis, Frances M.
20f89066-bbac-42dc-908d-d89a747dc399
Pierron, Fabrice
a1fb4a70-6f34-4625-bc23-fcb6996b79b4
Marek, Aleksander, Davis, Frances M. and Pierron, Fabrice
(2018)
Sheet metals characterization using the virtual fields method.
In Proceedings of the 21st International ESAFORM Conference on Material Forming, ESAFORM 2018.
vol. 1960,
American Institute of Physics..
(doi:10.1063/1.5035068).
Record type:
Conference or Workshop Item
(Paper)
Abstract
In this work, a characterisation method involving a deep-notched specimen subjected to a tensile loading is introduced. This specimen leads to heterogeneous states of stress and strain, the latter being measured using a stereo DIC system (MatchID). This heterogeneity enables the identification of multiple material parameters in a single test. In order to identify material parameters from the DIC data, an inverse method called the Virtual Fields Method is employed. The method combined with recently developed sensitivity-based virtual fields allows to optimally locate areas in the test where information about each material parameter is encoded, improving accuracy of the identification over the traditional user-defined virtual fields. It is shown that a single test performed at 45°to the rolling direction is sufficient to obtain all anisotropic plastic parameters, thus reducing experimental effort involved in characterisation. The paper presents the methodology and some numerical validation.
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e-pub ahead of print date: 2 May 2018
Venue - Dates:
21st International ESAFORM Conference on Material Forming, ESAFORM 2018, , Palermo, Italy, 2018-04-23 - 2018-04-25
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Local EPrints ID: 422769
URI: http://eprints.soton.ac.uk/id/eprint/422769
PURE UUID: 3a5e5be6-257b-4bdb-bae5-3851f7139d49
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Date deposited: 03 Aug 2018 16:31
Last modified: 06 Jun 2024 01:47
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Contributors
Author:
Aleksander Marek
Author:
Frances M. Davis
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