Characterization of elastic-plastic coated material properties by indentation techniques using optimisation algorithms and finite element analysis

Noii, Nima; Aghayan, Iman

doi:10.1016/j.ijmecsci.2019.01.010

Cited by 40 publications

(25 citation statements)

References 32 publications

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“…Based on the inverse tools, the material parameters can be directly extracted from the indentation response of materials without determining any equation that corresponds indentation response to the elastic-plastic parameters of materials. A commonly used tool is optimum algorithms [4,6,[16][17][18][19][20]. Generally, the deviation between experimental and predictive data is considered as the objective function.…”

Section: Aiehsd Uchndeamentioning

confidence: 99%

“…Indentation technique is generally take as a non-destructive method with the advantage of local characterization. It provides a feasible approach to determine the mechanical properties for in-service equipment [1][2][3], welded joints [4,5], thin film materials [6][7][8], etc. The flow properties that describe the plastic hardening behaviors of materials have a widespread application in many cases such as structural design, numerical simulation and thus has been extensively investigated by indentation technique.…”

Section: Aiehsd Uchndeamentioning

confidence: 99%

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A New Inverse Method for Determining Uniaxial Flow Properties by Spherical Indentation Test

Chen

Zhong

Guan

2021

Preprint

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This study presents a new inverse method to determine tensile flow properties from a single indentation force-depth curves. A database is established to replace the iterative FE calculations in conventional inverse methods and therefore can process the indentation data more quickly and easily. An axisymmetric FE model is constructed to simulate the elastic-plastic response of indention. Assuming the materials follow Ludwic constitutive model, by systematically changing the material parameters, numerous indentation force-depth curves are extracted from simulation results to establish the database. For a given experimental indentation curves, a mean square error (MSE) is designated to evaluate the deviations between the experimental curve and each curve in the database. Then, the relation of deviations versus stresses are investigated to acquire the true stresses at a series of plastic strain. To validate the new method, three different steels, i.e. A508, 316L and 2.25Cr1Mo are selected. Both simulated indentation curves and experimental indentation curves are used as inputs of the database to inversely acquire the flow properties. The result indicates that the proposed approach provides impressive accuracy when simulated indentation curves is used, but is less accurate when an experimental curve is used. This new method can quickly derive tensile properties without iterative calculations that yield a considerable computational costs and are therefore adaptive to engineering application.

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Section: Aiehsd Uchndeamentioning

confidence: 99%

Section: Aiehsd Uchndeamentioning

confidence: 99%

A New Inverse Method for Determining Uniaxial Flow Properties by Spherical Indentation Test

Chen

Zhong

Guan

2021

Preprint

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“…We refer interested readers to [ 19 , 20 ] for more applications of Bayesian estimation. In the same line, other optimization approaches can be used to determine intrinsic material properties of the specimen from experimental load-displacement curves, see e.g., [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

A Bayesian estimation method for variational phase-field fracture problems

et al. 2020

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In this work, we propose a parameter estimation framework for fracture propagation problems. The fracture problem is described by a phase-field method. Parameter estimation is realized with a Bayesian approach. Here, the focus is on uncertainties arising in the solid material parameters and the critical energy release rate. A reference value (obtained on a sufficiently refined mesh) as the replacement of measurement data will be chosen, and their posterior distribution is obtained. Due to time- and mesh dependencies of the problem, the computational costs can be high. Using Bayesian inversion, we solve the problem on a relatively coarse mesh and fit the parameters. In several numerical examples our proposed framework is substantiated and the obtained load-displacement curves, that are usually the target functions, are matched with the reference values.

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“…The mechanical properties of thin films can be different than the bulk material depending on the substrate mechanical properties and the film dimensions. Through history, many researchers have given several theoretical [13][14][15] and experimental [16][17][18][19][20][21][22][23][24][25] evidence of this phenomenon. To practical effects, it is generally accepted that for small indentation depths, the elastic modulus (less than 1% to 3% of the total film thickness) and indentation hardness (less than 15% to 10% of the total film thickness) of the films are not affected by the substrate.…”

Section: Introductionmentioning

confidence: 99%

Thickness and microstructure influence on the nanocrystalline Cu thin films’ mechanical properties

Roa

Sirena

2021

Journal of Materials Research

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We report a systematic study about the thickness and microstructure influence on the mechanical properties of nanocrystalline Cu thin films grown by DC sputtering. Mechanical properties were determined by using atomic force microscopy-assisted nanoindentation. Results showed a clear decrease of the elastic modulus and indentation hardness as the film thickness and grain size increase. Annealing time as well as the temperature seem to affect the mechanical behavior of the films by inducing microstructural changes, producing comparable changes to those produced by size effects (film thickness). Results suggest that both effects are important to explain the mechanical behavior of polycrystalline thin films. This work helps understanding what physical mechanisms play a fundamental role on the mechanical behavior of thin films.

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Characterization of elastic-plastic coated material properties by indentation techniques using optimisation algorithms and finite element analysis

Cited by 40 publications

References 32 publications

A New Inverse Method for Determining Uniaxial Flow Properties by Spherical Indentation Test

A New Inverse Method for Determining Uniaxial Flow Properties by Spherical Indentation Test

A Bayesian estimation method for variational phase-field fracture problems

Thickness and microstructure influence on the nanocrystalline Cu thin films’ mechanical properties

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