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Virtual machine concept applied to uncertainties estimation in instrumented indentation testing

Published online by Cambridge University Press:  29 July 2019

Thierry Coorevits ,
Stephania Kossman Open the ORCID record for Stephania Kossman [Opens in a new window] ,
Didier Chicot ,
François Hennebelle ,
Alex Montagne  and
Alain Iost
Thierry Coorevits
Affiliation:
Mécanique, Surface, Matériaux et Procédés, MSMP-EA7350, Arts et Métiers ParisTech, F-59800 Lille, France
Stephania Kossman*
Affiliation:
Mécanique, Surface, Matériaux et Procédés, MSMP-EA7350, Arts et Métiers ParisTech, F-59800 Lille, France
Didier Chicot
Affiliation:
Laboratoire de Génie Civil et géo-Environnement, LGCgE-EA4515, Université de Lille, Villeneuve d’Ascq F-59650, France
François Hennebelle
Affiliation:
Université Bourgogne Franche-Comté, F-21000 Dijon, France
Alex Montagne
Affiliation:
Mécanique, Surface, Matériaux et Procédés, MSMP-EA7350, Arts et Métiers ParisTech, F-59800 Lille, France
Alain Iost
Affiliation:
Mécanique, Surface, Matériaux et Procédés, MSMP-EA7350, Arts et Métiers ParisTech, F-59800 Lille, France
*
a)Address all correspondence to this author. e-mail: [email protected]
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Abstract

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.

Keywords

nanoindentationuncertainty determinationelastic moduluscalibration
Type
Article
Information
Journal of Materials Research , Volume 34 , Issue 14 , 28 July 2019 , pp. 2501 - 2516
Copyright
Copyright © Materials Research Society 2019 

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