Virtual machine concept applied to uncertainties estimation in instrumented indentation testing
| Autor: | Alex Montagne, François Hennebelle, Stephania Kossman, Didier Chicot, Alain Iost, Thierry Coorevits |
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| Přispěvatelé: | Laboratoire de Métrologie et de Mathématiques Appliquées (L2MA), Mechanics surfaces and materials processing (MSMP), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), Laboratoire de Mécanique de Lille - FRE 3723 (LML), Université de Lille, Sciences et Technologies-Ecole Centrale de Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Métallurgie Physique et Génie des Matériaux (LMPGM), Université de Lille, Sciences et Technologies-Ecole Nationale Supérieure de Chimie de Lille (ENSCL)-EDF (EDF)-Centre National de la Recherche Scientifique (CNRS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Génie Civil et Géo-Environnement (LGCgE) - ULR 4515 (LGCgE), Université d'Artois (UA)-Université de Lille-Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Lille Douai), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Materials science
Scale (ratio) Basis (linear algebra) Mechanical Engineering Monte Carlo method Process (computing) Mechanical engineering 02 engineering and technology Nanoindentation 021001 nanoscience & nanotechnology Condensed Matter Physics computer.software_genre 01 natural sciences 010309 optics [SPI]Engineering Sciences [physics] Mechanics of Materials Virtual machine 0103 physical sciences Calibration General Materials Science 0210 nano-technology computer Elastic modulus ComputingMilieux_MISCELLANEOUS |
| Zdroj: | Journal of Materials Research Journal of Materials Research, Cambridge University Press (CUP), 2019, 34 (14), pp.2501-2516. ⟨10.1557/jmr.2019.203⟩ Journal of Materials Research, 2019, 34 (14), pp.2501-2516. ⟨10.1557/jmr.2019.203⟩ |
| ISSN: | 0884-2914 2044-5326 |
| DOI: | 10.1557/jmr.2019.203⟩ |
| Popis: | The basis of the virtual machine concept, which is commonly used in coordinate measuring machines, was implemented to determine more realistic uncertainties on the estimation of the elastic modulus obtained from nanoindentation tests. The methodology is based on a mathematical model applied to simulate the testing process and to evaluate the uncertainties through Monte Carlo simulations whose application depends on the studied system (instrument, material, scale, etc.). The methodology was applied to the study of fused silica (FQ) and steel samples tested in a nanoindentation system. The results revealed that the most relevant sources of uncertainty are related to the calibration procedure, particularly to the elastic modulus of the calibration material, and to the contact depth estimation; however, the relevance of the uncertainties is system dependent. This work represents a first insight for a deeper consideration of the uncertainties in instrumented indentation testing. |
| Databáze: | OpenAIRE |
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