Comparison between Berkovich, Vickers and conical indentation tests: A three-dimensional numerical simulation study

Сахарова, Н. А.; Fernandes, J.V.; Antunes, Jorge M.; Oliveira, M. C.

doi:10.1016/j.ijsolstr.2008.10.032

Cited by 191 publications

(96 citation statements)

References 14 publications

(22 reference statements)

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“…They used cube-corner indenters mounted in three different indentation devices: a nanoindenter with loads in the range 0.5-10 mN, a microscale indenter with a load of 300 mN, and a macroscale indenter with loads of 10 and 100 N. Studies comparing indentation with different geometries at nanoscale are also scarce. Rother et al [59], Min et al [60], and Sakharova et al [61] studied the influence of the geometrical shape of Berkovich, Vickers, Knoop, and conical indenters on the hardness of bulk metals and composite materials.…”

Section: Hardness Interpretation At Different Scalesmentioning

confidence: 99%

Indentation Hardness Measurements at Macro-, Micro-, and Nanoscale: A Critical Overview

2016

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The Brinell, Vickers, Meyer, Rockwell, Shore, IHRD, Knoop, Buchholz, and nanoindentation methods used to measure the indentation hardness of materials at different scales are compared, and main issues and misconceptions in the understanding of these methods are comprehensively reviewed and discussed. Basic equations and parameters employed to calculate hardness are clearly explained, and the different international standards for each method are summarized. The limits for each scale are explored, and the different forms to calculate hardness in each method are compared and established. The influence of elasticity and plasticity of the material in each measurement method is reviewed, and the impact of the surface deformation around the indenter on hardness values is examined. The difficulties for practical conversions of hardness values measured by different methods are explained. Finally, main issues in the hardness interpretation at different scales are carefully discussed, like the influence of grain size in polycrystalline materials, indentation size effects at micro-and nanoscale, and the effect of the substrate when calculating thin films hardness. The paper improves the understanding of what hardness means and what hardness measurements imply at different scales.

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Section: Hardness Interpretation At Different Scalesmentioning

confidence: 99%

Indentation Hardness Measurements at Macro-, Micro-, and Nanoscale: A Critical Overview

2016

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“…This in turn may induce a difference in the predicted value of σ y of up to +2.7%. In order to account for the non-ideal geometry, the tip of the indenter was assumed flat with a triangular area of approximately 0.0032 µm 2 , which corresponds to the imperfection usually observed in experimental Berkovich indenters [27]. The degree of pileup/sink-in is one of the most serious factors that complicate the interpretation of indentation data as this cannot be directly related to the P-h curve.…”

Section: Fe Modelling Of Depth-sensing Indentationmentioning

confidence: 99%

Characterization of material property variation across an inertia friction welded CrMoV steel component using the inverse analysis of nanoindentation data

Iracheta

Bennett

Sun

2016

International Journal of Mechanical Sciences

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In this study, a new application of the inverse analysis of the depth-sensing indentation technique based on the optimization theory has been satisfactorily demonstrated. The novel approach for determining the mechanical properties from experimental nanoindentation curves has been applied in order to generate the elastic-plastic stress-strain curves of three phases located across the joint of a like-to-like inertia friction weld of a CrMoV steel, i.e. the parent phase of tempered martensite and two child phases formed during the IFW process, martensite in the quenched and over-tempered condition. The inverse analysis carried out in this study consists of an optimization algorithm implemented in MATLAB, which compares an experimental nanoindentation curve with a predicted indentation curve generated by a 3D 2 finite element model developed using the ABAQUS software; the optimization algorithm modifies the predicted curve by changing the material properties until the best fit to the experimental nanoindentation curve is found. The optimized parameters (mechanical properties) have been used to generate the stress-strain relationships in the elastic-plastic regime that can be used to simulate numerically the effects of the variation in material properties arising from phase transformations occurring across the joint during the IFW process of a CrMoV steel.The proposed inverse analysis was capable of fitting experimental load-depth (P-h) curves produced with a Nanoindentation Nanotest NTX unit from three characteristic regions located across the joint where the above mentioned phases are known to exist. The capability of the inverse analysis to build the stress-strain relationship in the elastic-plastic regime using the optimized mechanical properties of the parent metal has been validated using experimental data extracted from the compressive test of an axisymmetric sample of tempered martensite [1]. According to previous experimental studies, the presence of martensite in the quenched and over-tempered condition formed during the IFW of shaft sections of CrMoV steel are responsible of the 1.52:1 harder and 0.75:1 softer regions, compared to the region where the tempered martensite is located [2][3][4]. These ratios are in very good agreement with the optimized magnitudes of yield stress provided by the inverse analysis, that is, 1.54:1 for the quenched martensite and 0.68:1 for the over-tempered martensite, compared to the optimized value of yield stress of the tempered martensite.Moreover, a relative difference of less than 1.5% between the experimental and predicted maximum depth (h max ) supports the capability of the method for extracting the elastic-plastic mechanical properties defining each of the indented regions.3

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“…Besides the experimental observations, computer simulations have greatly contributed to the investigation of the response of materials during nanoindentation. The common modeling methods are finite element [24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41], crystal plasticity [42][43][44][45][46][47][48][49][50], discrete dislocation dynamics [51][52][53][54][55][56][57][58][59][60][61][62], the quasicontinuum method [63][64][65][66][67][68][69][70][71][72][73]…”

Section: Introductionmentioning

confidence: 99%

Review of Nanoindentation Size Effect: Experiments and Atomistic Simulation

2017

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Nanoindentation is a well-stablished experiment to study the mechanical properties of materials at the small length scales of micro and nano. Unlike the conventional indentation experiments, the nanoindentation response of the material depends on the corresponding length scales, such as indentation depth, which is commonly termed the size effect. In the current work, first, the conventional experimental observations and theoretical models of the size effect during nanoindentation are reviewed in the case of crystalline metals, which are the focus of the current work. Next, the recent advancements in the visualization of the dislocation structure during the nanoindentation experiment is discussed, and the observed underlying mechanisms of the size effect are addressed. Finally, the recent computer simulations using molecular dynamics are reviewed as a powerful tool to investigate the nanoindentation experiment and its governing mechanisms of the size effect.

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Comparison between Berkovich, Vickers and conical indentation tests: A three-dimensional numerical simulation study

Cited by 191 publications

References 14 publications

Indentation Hardness Measurements at Macro-, Micro-, and Nanoscale: A Critical Overview

Indentation Hardness Measurements at Macro-, Micro-, and Nanoscale: A Critical Overview

Characterization of material property variation across an inertia friction welded CrMoV steel component using the inverse analysis of nanoindentation data

Review of Nanoindentation Size Effect: Experiments and Atomistic Simulation

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