The effect of specimen roughness and indenter tip geometry on the determination accuracy of thin hard coatings stress–strain laws by nanoindentation

Bouzakis, K.‐D.; Michailidis, Nikolaos; Hadjiyiannis, S.; Skordaris, G.; Erkens, G.

doi:10.1016/s1044-5803(02)00361-3

Cited by 159 publications

(66 citation statements)

References 6 publications

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“…As a result, the behavior of indenter has also been investigated. The indenters were mainly simulated as perfectly rigid bodies to eliminate the nonlinear deformation during the indentation test [26,27], while [28] corrected a possible elastic deformation of the indenter by a system reduced modulus computed from the Young's modulus and the Poisson's ratio of both the indenter and the specimen. Machine compliance can easily be influenced by tilting or deforming the specimen [24].…”

Section: Introductionmentioning

confidence: 99%

Identification of material properties using indentation test and shape manifold learning approach

Liang

Breitkopf

Raghavan

et al. 2015

Computer Methods in Applied Mechanics and Engineering

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The conventional approach for the identification of the work hardening properties of a material by an indentation test usually relies on the force-displacement curve. However, finite element modeling of the indenter-specimen system is a complex task, and the unicity of the solution to the inverse problem of identifying material parameters using the force-displacement curve is not always guaranteed. Also, the precise measurement of the displacement of the indenter tip requires the determination of the indenter frame compliance and indenter tip deformation. To alleviate these problems, we propose in this work an approach based solely on the 3D indentation imprint shape measured after indenter withdrawal, rather than relying on the minimization of the pointwise discrepancy between the experimental and simulated indentation curve. We first build a mathematical "shape space" of indentation shapes in which a lower-dimensional manifold of imprints admissible according to a postulated material constitutive law is approximated. Then, we solve the inverse problem by using a series of predictor-corrector algorithms minimizing the distance between the estimated solution and the experimental imprint in this shape space. We finally apply the proposed approach to indentation tests using a spherical tip indenter on two different materials: a C100 steel specimen and a specimen of the AU4G (AA2017) aluminium alloy.

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Section: Introductionmentioning

confidence: 99%

Identification of material properties using indentation test and shape manifold learning approach

Liang

Breitkopf

Raghavan

et al. 2015

Computer Methods in Applied Mechanics and Engineering

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“…[1][2][3] These geometrical deviations seriously affect the values of hardness when measurements are conducted at penetration depths with magnitude similar to the indenter radius. [4][5][6] In these cases, the changes in the shape of the loading curve can also be confused with those caused by the material work hardening, 7 which leads to errors in the calculation of the work-hardening coefficient. Furthermore, significant changes on the correction factor b, used to adjust Sneddon's equations, [8][9][10][11][12] have been recently observed due to indenter tip roundness.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the tip roundness effects on the micro- and macroindentation response of elastic–plastic materials

2009

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In this work, the effects of indenter tip roundness on the load-depth indentation curves were analyzed using finite element modeling. The tip roundness level was studied based on the ratio between tip radius and maximum penetration depth (R/h max ), which varied from 0.02 to 1. The proportional curvature constant (C), the exponent of depth during loading (a), the initial unloading slope (S), the correction factor (b), the level of piling-up or sinking-in (h c /h max ), and the ratio h max /h f are shown to be strongly influenced by the ratio R/h max . The hardness (H) was found to be independent of R/h max in the range studied. The Oliver and Pharr method was successful in following the variation of h c /h max with the ratio R/h max through the variation of S with the ratio R/h max . However, this work confirmed the differences between the hardness values calculated using the Oliver-Pharr method and those obtained directly from finite element calculations; differences which derive from the error in area calculation that occurs when given combinations of indented material properties are present. The ratio of plastic work to total work (W p /W t ) was found to be independent of the ratio R/h max , which demonstrates that the methods for the calculation of mechanical properties based on the indentation energy are potentially not susceptible to errors caused by tip roundness.

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“…Experimental artifacts such as pile-up, substrate effects, anisotropy, and delamination and/or microcracking can lead to errors in the interpretation of force-displacement curves measured during nanoindentation [38][39][40][41][61][62][63] . As detailed in 60 , pile-up was empirically evaluated and corrected using the in-situ scan images.…”

Section: Asymmetric Test Resultsmentioning

confidence: 99%

Micromechanics of Damage Accumulation in Micro- and Nano-Scale Laminates for Microelectromechanical Systems

Muhlstein¹

2009

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The effect of specimen roughness and indenter tip geometry on the determination accuracy of thin hard coatings stress–strain laws by nanoindentation

Cited by 159 publications

References 6 publications

Identification of material properties using indentation test and shape manifold learning approach

Identification of material properties using indentation test and shape manifold learning approach

Analysis of the tip roundness effects on the micro- and macroindentation response of elastic–plastic materials

Micromechanics of Damage Accumulation in Micro- and Nano-Scale Laminates for Microelectromechanical Systems

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