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Calibration of machine platform nonlinearity in Instrumented Indentation Test in the macro range.

Authors :
Kholkhujaev, Jasurkhuja
Maculotti, Giacomo
Genta, Gianfranco
Galetto, Maurizio
Source :
Precision Engineering. May2023, Vol. 81, p145-157. 13p.
Publication Year :
2023

Abstract

Instrumented Indentation Test (IIT) is a non-conventional mechanical characterization technique to evaluate hardness, Young modulus, creep and relaxation of materials. In the macro range, it represents a cheaper and faster alternative to conventional tensile-based tests. IIT is a metrological scale; thus, to establish traceability, calibration is essential. Frame compliance calibration is critical because it is a major contribution to the measurement uncertainty. This work discusses the limits of the current state-of-the-art and proposes a novel methodology for frame compliance calibration. The introduced approach demonstrates the source of common systematic errors in the mechanical characterization reported in the literature, i.e. edge effect, while first highlighting a relevant frame compliance nonlinearity. The proposed procedure is cost-effective and relies upon constitutive spring modelling of IIT and calibration of reference block by nanoindentation. Results show that the novel approach corrects systematic trends in the characterization and yields a relative measurement uncertainty of 5%. • Macro-Instrumented Indentation can conveniently replace conventional tests. • Frame compliance calibration is critical for accurate and precise characterization. • Current calibration methods neglect frame compliance nonlinearity. • A method is proposed and applied to calibrate frame compliance nonlinearity. • An approach to calibrate reference material by nanoindentation is demonstrated. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01416359
Volume :
81
Database :
Academic Search Index
Journal :
Precision Engineering
Publication Type :
Academic Journal
Accession number :
162436902
Full Text :
https://doi.org/10.1016/j.precisioneng.2023.02.005