Identification of elastic-plastic properties of metal materials by using the residual imprint of spherical indentation

Wang, Mingzhi; Wu, Jianjun; Yu, Hui; Zhang, Zengkun; Zhan, Xuepeng; Guo, Ruichao

doi:10.1016/j.msea.2016.10.025

Cited by 59 publications

(34 citation statements)

References 44 publications

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“…We represent the application of our proposed computational framework to rank not only the different responses of an indentation test, but also the different response spaces. This contrasts with the current state of practice where study of the indentation test responses is done deterministically and limited to ranking the known material responses at a limited number of observations [17][18][19]. Nevertheless, we note here that the choice of the spherical indentation test in this work is only for the sake of illustration and the approaches and tools that comprise the proposed framework are applicable to other material characterization tests.…”

Section: Introductionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

“…Several studies in material model identification literature have studied the value of the material response candidates in a deterministic way [17][18][19]. For instance, in the study conducted in [19], the weighted sum of residual imprint responses obtained in an indentation test was employed to form the material response to identify the hardening parameters. The weights, which represented the value of each response, were tuned such that the material parameters, identified in eight random restarts of the optimization algorithm, converged to the same value and approached the parameters identified in a tensile test of the studied material.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On the value of test data for reducing uncertainty in material models: Computational framework and application to spherical indentation

Asaadi

Heyns

Haftka

et al. 2019

Computer Methods in Applied Mechanics and Engineering

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Section: Introductionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On the value of test data for reducing uncertainty in material models: Computational framework and application to spherical indentation

Asaadi

Heyns

Haftka

et al. 2019

Computer Methods in Applied Mechanics and Engineering

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“…Yonezu et al [10] have proposed a method with contour mapping on the indentation's surrounding area. Alternatively to this method, the residual imprint was introduced by Wang et al [14]. Shen et al [15] have demonstrated a novel method for measuring residual stresses both in uniaxial and biaxial stress states.…”

Section: • the Most Important Contribution To The Research Of Indentamentioning

confidence: 99%

Study of Influential Parameters of the Sphere Indentation Used for the Control Function of Material Properties in Forming Operations

Satošek

Valeš

Pepelnjak

2019

SV-JME

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The uncertainties of modern, adaptable sheet metal forming systems are classified into model errors and disturbances. To improve the control of production, disturbances in the forming process need to be reduced. For this purpose, a new data flow system was introduced. It connected the data flow of all influencing material parameters into the “material property control function”. To control on-line the forming production line and acquire necessary material data, an indentation test was implemented. The main parameters to follow in this test are pile-up or sink-in values after the embossing of the ball-shaped tool into the material where the innovative approach of fully anisotropic material description was used. To set-up an optimal indentation test, parametric studies were performed with material data of AW 5754-H22. Finite element simulations were used to evaluate the influences of indenter diameter, contact friction and forming history of used the material. Fully anisotropic material behaviour was considered. Novel to this approach were a) the linking of the linear correlation of pile-up with the indentation depth described by gradient k, and b) the linking of gradient k with different pre-strains by a new power function.

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“…They proved that the plastic parameters can be determined by the spherical indentation test by comparing the results with the experiments. Wang et al [21], tried to found plastic parameters of metallic materials such as hardening exponent and elastic modulus using spherical indentation. They used the indentation curve and obtain a good solution in the inverse analysis process.…”

Section: Introductionmentioning

confidence: 99%

Effect of phase shape and size on the FEM analysis of indentation test of duplex stainless steel microstructures

Dengiz

Yıldızlı

2020

SN Appl. Sci.

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This study presents the effect of modelling the microstructure of duplex stainless steels with different geometric shapes and sizes on the indentation test results. In this study, an indentation test is modelled on duplex stainless steel (DSS) sheets. The actual and simulated microstructures are modelled with finite element program. Actual microstructure is modelled on SEM image of microstructure. In simulated microstructures, the austenite phase is modelled with four different geometric shapes: circle, small square, big square and triangle. While the indentation depth is found to be 25.80 μm experimentally, an average depth of 22.58 μm is reached in the simulations. Also, the effect of microstructures of different phase ratios on indentation behaviour is investigated. When the austenite ratio increases by 13%, it is observed that the indentation depth increases by 2.1% on average. In summary, the actual and simulated microstructures in different shapes and sizes give similar deformation results.

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Identification of elastic-plastic properties of metal materials by using the residual imprint of spherical indentation

Cited by 59 publications

References 44 publications

On the value of test data for reducing uncertainty in material models: Computational framework and application to spherical indentation

On the value of test data for reducing uncertainty in material models: Computational framework and application to spherical indentation

Study of Influential Parameters of the Sphere Indentation Used for the Control Function of Material Properties in Forming Operations

Effect of phase shape and size on the FEM analysis of indentation test of duplex stainless steel microstructures

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