Experimental and numerical investigation on carbonitrided steel characterization with spherical indentation

Moussa, Charbel; Bartier, Olivier; Mauvoisin, Gérard; Hernot, Xavier; Collin, Jean-Marc; Delattre, Guillaume

doi:10.1016/j.surfcoat.2014.07.080

Cited by 15 publications

(22 citation statements)

References 33 publications

(57 reference statements)

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“…With the help of indentation tests carried out on different scales, a wide range of materials can be characterized: metals, alloys, ceramics, concrete [3] or even graded materials [4][5][6][7][8] and the test can also be applied to an actual structure without the need for cutting-out a specimen for tensile testing. Indentation-based assessment of material properties usually relies on the recorded force-displacement curve (P-h curve) [9][10][11][12] obtained in two main phases.…”

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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“…In this paper, a methodology was proposed, based on the assumption of a linear variation of the hardening law from the surface to the substrate. This assumption has been justified and validated by Moussa et al [26].…”

Section: Introductionmentioning

confidence: 75%

“…In previous studies [22,26], a procedure to characterize PGMs was presented. This procedure can be described as follows: "The decreasing hardness profile of carbonitrided steels can be approximated by three zones.…”

Section: Characterization Methodsmentioning

confidence: 99%

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Mechanical characterization of carbonitrided steel with spherical indentation using the average representative strain

et al. 2016

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International audienceThis paper investigates the identification of mechanical properties of carbonitrided steels using the spherical indentation test. The proposed procedure consists in performing the Vickers microindentation hardness test across the carbonitrided steel in order to obtain the thickness of the hardened layers. Thus, with the assumption of a linear variation of the plastic properties in the intermediate layers between surface and substrate, two spherical macroindentation tests, performed on the substrate and on the surface of the carbonitrided steel, are necessary to identify the work hardening laws' variation through the thickness of the carbonitrided steel. The proposed method does not call for inverse analysis but is based on the use of a database of finite element simulation F–h curves obtained by simulating indentation tests on the surface of various pseudo-carbonitrided materials. The advantage of this method compared to those based on inverse analysis is that it allows a representative strain and a confidence domain of the solution to be determined. The confidence domain of the identified solution takes into account the experimental imprecision of the indentation test and of the case depth variability often encountered in carbonitrided parts

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“…A third approach was recently developed by C. Moussa et al [17,18] where the difference between an experimental indentation curve and numerical indentation curves obtained from a database is analyzed for determining and n parameters of the Hollomon law. This approach was validated previously by the authors on one of the studied materials in the current paper [19].…”

Section: Introductionmentioning

confidence: 99%

Determining the stress level of monotonic plastically pre-hardened metal sheets using the spherical instrumented indentation technique

et al. 2019

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In this paper, a methodology, for calculating the stress level of monotonic plastically pre-hardened materials, using the instrumented indentation technique (IIT) coupled to the inverse analysis technique (IAT) is presented. In this methodology, the Voce work-hardening law is always considered as the work hardening law of the studied material. This methodology has shown a very good efficiency in determining the stress levels and the plastic strains undergone by two pre-hardened pseudo-materials. That was encouraging for applying this methodology on real metal sheets. Three metal sheets were studied (DC01 and DP600 steels and aluminum alloy 2017). In the case of the as-received sheets, the identified laws show precise results for plastic strains between 3% and 6% which correspond approximately to the representative strain in the case of spherical indentation. Tensile samples were then pre-hardened by imposing a monotonic plastic strain. Three levels of plastic pre-strains were imposed. Concerning low pre-hardening levels, very satisfying results were obtained where this methodology showed a great efficiency in determining the stress level and the plastic pre-strain undergone by the pre-hardened sheet. For high pre-hardening levels, a small underestimation of the stress level and the plastic pre-strain was obtained. In this latter case, work is being carried out to improve the results by enriching the experimental data provided for the inverse analysis computations.

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Experimental and numerical investigation on carbonitrided steel characterization with spherical indentation

Cited by 15 publications

References 33 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

Mechanical characterization of carbonitrided steel with spherical indentation using the average representative strain

Determining the stress level of monotonic plastically pre-hardened metal sheets using the spherical instrumented indentation technique

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