2017
DOI: 10.1515/lpts-2017-0007
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Nanoindentation Response analysis of Thin Film Substrates-I: Strain Gradient-Divergence Approach

Abstract: Nanoindentation is a widely-used method for sensitive exploration of the mechanical properties of micromechanical systems. We derive a simple empirical analysis technique to extract stress-strain field (SSF) gradient and divergence representations from nanoindentation data sets. Using this approach, local SSF gradients and structural heterogeneities can be discovered to obtain more detail about the sample's microstructure, thus enhancing the analytic capacity of the nanoindentation technique. We demonstrate th… Show more

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Cited by 3 publications
(7 citation statements)
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“…Results on the bulk solid sample of silicon were reported in the first part of this investigation [7]. For the clarity of the discussion we focus here on reporting a few typical results of the nanoindentation measurements of the CZS sample, which are representative of all the steel samples examined in our investigation.…”
Section: Resultsmentioning
confidence: 99%
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“…Results on the bulk solid sample of silicon were reported in the first part of this investigation [7]. For the clarity of the discussion we focus here on reporting a few typical results of the nanoindentation measurements of the CZS sample, which are representative of all the steel samples examined in our investigation.…”
Section: Resultsmentioning
confidence: 99%
“…The load-displacement curve is contrasted with the corresponding total SSF gradient curve, which was derived using the approach briefly outlined in Methods (see also Ref. 7). Note that we use logarithmic axis for the displacement into surface, h, to highlight nanoindentation responses at the subsurface layers.…”
Section: Resultsmentioning
confidence: 99%
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“…The G200 tester was calibrated using a reference sample of fused silica. Elastic modulus, hardness and standard deviations of the load-displacement measurements were calculated from experimentally obtained loading-unloading data sets by the MTS TestWorks-4 software using the well-known Oliver-Pharr method [10] and strain gradient-divergence approach [11].…”
Section: Methodsmentioning
confidence: 99%