Inverse Identification of Single-Crystal Plasticity Parameters of HCP Zinc from Nanoindentation Curves and Residual Topographies
This paper investigates the orientation-dependent characteristics of pure zinc under localized loading using nanoindentation experiments and crystal plasticity finite element (CPFEM) simulations. Nanoindentation experiments on different grain orientations exhibited distinct load–depth responses. Ato...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Nanomaterials |
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| Online Access: | https://www.mdpi.com/2079-4991/12/3/300 |
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| author | Pham T. N. Nguyen Fazilay Abbès Jean-Sébastien Lecomte Christophe Schuman Boussad Abbès |
| author_facet | Pham T. N. Nguyen Fazilay Abbès Jean-Sébastien Lecomte Christophe Schuman Boussad Abbès |
| author_sort | Pham T. N. Nguyen |
| collection | DOAJ |
| description | This paper investigates the orientation-dependent characteristics of pure zinc under localized loading using nanoindentation experiments and crystal plasticity finite element (CPFEM) simulations. Nanoindentation experiments on different grain orientations exhibited distinct load–depth responses. Atomic force microscopy revealed two-fold unsymmetrical material pile-up patterns. Obtaining crystal plasticity model parameters usually requires time-consuming micromechanical tests. Inverse analysis using experimental and simulated loading–unloading nanoindentation curves of individual grains is commonly used, however the solution to the inverse identification problem is not necessarily unique. In this study, an approach is presented allowing the identification of CPFEM constitutive parameters from nanoindentation curves and residual topographies. The proposed approach combines the response surface methodology together with a genetic algorithm to determine an optimal set of parameters. The CPFEM simulations corroborate with measured nanoindentation curves and residual profiles and reveal the evolution of deformation activity underneath the indenter. |
| first_indexed | 2024-03-09T23:25:55Z |
| format | Article |
| id | doaj.art-f921d349722a4380b77b15aef2357423 |
| institution | Directory Open Access Journal |
| issn | 2079-4991 |
| language | English |
| last_indexed | 2024-03-09T23:25:55Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Nanomaterials |
| spelling | doaj.art-f921d349722a4380b77b15aef23574232023-11-23T17:18:28ZengMDPI AGNanomaterials2079-49912022-01-0112330010.3390/nano12030300Inverse Identification of Single-Crystal Plasticity Parameters of HCP Zinc from Nanoindentation Curves and Residual TopographiesPham T. N. Nguyen0Fazilay Abbès1Jean-Sébastien Lecomte2Christophe Schuman3Boussad Abbès4The University of Danang, University of Science and Technology, Da Nang 550000, VietnamMATériaux et Ingénierie Mécanique (MATIM), Université de Reims Champagne Ardenne, 51100 Reims, FranceLaboratoire d’Étude des Microstructures et de Mécanique des Matériaux (LEM3), CNRS UMR 7239, Université de Lorraine, 57000 Metz, FranceLaboratoire d’Étude des Microstructures et de Mécanique des Matériaux (LEM3), CNRS UMR 7239, Université de Lorraine, 57000 Metz, FranceMATériaux et Ingénierie Mécanique (MATIM), Université de Reims Champagne Ardenne, 51100 Reims, FranceThis paper investigates the orientation-dependent characteristics of pure zinc under localized loading using nanoindentation experiments and crystal plasticity finite element (CPFEM) simulations. Nanoindentation experiments on different grain orientations exhibited distinct load–depth responses. Atomic force microscopy revealed two-fold unsymmetrical material pile-up patterns. Obtaining crystal plasticity model parameters usually requires time-consuming micromechanical tests. Inverse analysis using experimental and simulated loading–unloading nanoindentation curves of individual grains is commonly used, however the solution to the inverse identification problem is not necessarily unique. In this study, an approach is presented allowing the identification of CPFEM constitutive parameters from nanoindentation curves and residual topographies. The proposed approach combines the response surface methodology together with a genetic algorithm to determine an optimal set of parameters. The CPFEM simulations corroborate with measured nanoindentation curves and residual profiles and reveal the evolution of deformation activity underneath the indenter.https://www.mdpi.com/2079-4991/12/3/300crystal plasticityCPFEMnanoindentationparameter identificationzinc |
| spellingShingle | Pham T. N. Nguyen Fazilay Abbès Jean-Sébastien Lecomte Christophe Schuman Boussad Abbès Inverse Identification of Single-Crystal Plasticity Parameters of HCP Zinc from Nanoindentation Curves and Residual Topographies Nanomaterials crystal plasticity CPFEM nanoindentation parameter identification zinc |
| title | Inverse Identification of Single-Crystal Plasticity Parameters of HCP Zinc from Nanoindentation Curves and Residual Topographies |
| title_full | Inverse Identification of Single-Crystal Plasticity Parameters of HCP Zinc from Nanoindentation Curves and Residual Topographies |
| title_fullStr | Inverse Identification of Single-Crystal Plasticity Parameters of HCP Zinc from Nanoindentation Curves and Residual Topographies |
| title_full_unstemmed | Inverse Identification of Single-Crystal Plasticity Parameters of HCP Zinc from Nanoindentation Curves and Residual Topographies |
| title_short | Inverse Identification of Single-Crystal Plasticity Parameters of HCP Zinc from Nanoindentation Curves and Residual Topographies |
| title_sort | inverse identification of single crystal plasticity parameters of hcp zinc from nanoindentation curves and residual topographies |
| topic | crystal plasticity CPFEM nanoindentation parameter identification zinc |
| url | https://www.mdpi.com/2079-4991/12/3/300 |
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