Design of an indicator to characterize and classify mechanical tests for sheet metals

Souto, Nelson; Thuillier, Sandrine; Andrade‐Campos, A.

doi:10.1016/j.ijmecsci.2015.07.026

Cited by 27 publications

(38 citation statements)

References 27 publications

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“…An important question to answer is how to design a better test that will contain sufficient information about the model and reduce the number of tests involved. Currently, numerical strategies are being developed, capable of optimising specimen geometries that promote heterogeneity and particular strain states [30,31]. They were applied to modify uniaxial tension specimens and although greatly improved heterogeneity of the test, struggled to produce data at biaxial tension thus had limited applicability to advanced constitutive models such as Yld2000-2D.…”

Section: Discussionmentioning

confidence: 99%

“…A methodical approach to design adequate heterogeneous tests is still an open problem. Recently, there were a few attempts at using optimisation techniques that iterate through a number of design variables to improve a measure for strain heterogeneity [30,31]. For other constitutive models, test design optimization has been studied in more depth, initially using strain heterogeneity metrics as well [32], then using balanced identification uncertainty over the whole set of parameters [33,34].…”

Section: Introductionmentioning

confidence: 99%

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Experimental Validation of the Sensitivity-Based Virtual Fields for Identification of Anisotropic Plasticity Models

et al. 2020

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In this work, the sensitivity-based virtual fields have been applied to identify two anisotropic plasticity models (Hill48, Yld2000-2D) using a deep-notched tensile test performed on flat samples of cold-rolled sheet of DC04 steel. The material was characterised using the standard protocol to obtain the reference sets of parameters. Deformation data was obtained during deep-notched tests using stereo digital image correlation and the virtual fields method was employed to identify material parameters. It was found that the sensitivity-based virtual fields outperform the standard user-defined virtual fields in terms of accuracy.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental Validation of the Sensitivity-Based Virtual Fields for Identification of Anisotropic Plasticity Models

et al. 2020

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“…In their study, they show that FEMU-based identification fails at specimen tests that produce more features than the numerical material model can simulate. Moreover, to systematically tackle this issue, Souto et al [43,44] proposed a quantitative indicator to distinguish, rate and rank different tests according to the strain state range, the deformation heterogeneity and the level of strain achieved.…”

Section: Sensitivity Analysismentioning

confidence: 99%

Calibration of Advanced Yield Criteria Using Uniaxial and Heterogeneous Tensile Test Data

Maček

Starman

Mole

et al. 2020

Metals

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Conventionally, plastic anisotropy is calibrated by using standard uniaxial tensile and biaxial test results. Alternatively, heterogeneous strain field specimens in combination with full-field measurements can be used for this purpose. As reported by the literature, such an approach reduces the number of required tests enormously, but it is challenging to obtain reliable results. This paper presents an alternative methodology, which represents a compromise between the conventional and heterogeneous strain field calibration technique. The idea of the method is to use simple tests, which can be conducted on the uniaxial testing machine, and to avoid the use of advanced measuring equipment. The procedure is accomplished by conducting standard tensile tests, which are simple and reliable, and by a novel heterogeneous strain field tensile test, to calibrate the biaxial stress state. Moreover, only two of the parameters required for full characterisation need to be inversely identified from the test response; the other parameters are directly determined from the uniaxial tensile test results. This way, a dimension of optimization space is reduced substantially, which increases the robustness and effectiveness of the optimization algorithm.

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“…To design a heterogeneous test, it is necessary to find a way to quantify the richness of information obtained by the test. In this work, an indicator I T [12] capable of quantifying the strain state range and deformation heterogeneity is used. This indicator also quantifies the strain level achieved in the test from the entire specimen surface, using a continuous evaluation of the strain field up to rupture.…”

Section: Indicator and Cost Functionmentioning

confidence: 99%

“…Moreover, some original tests introduced new designs, such as the geometry presented by Pottier [11]. A review of the mechanical tests commonly used for parameter identification can be seen in [12,13]. However, none of the presented tests can promote a very wide spectrum of strain states with a large magnitude of plastic strain.…”

Section: Introductionmentioning

confidence: 99%

On the Design of Innovative Heterogeneous Sheet Metal Tests Using a Shape Optimization Approach

Andrade‐Campos

Aquino

Martins

et al. 2019

Metals

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The development of full-field measurement methods has enabled a new trend of heterogeneous mechanical tests. The inhomogeneous strain fields retrieved from these tests are being widely used in the calibration of constitutive models for sheet metals. However, today, there is no mechanical test able to characterize the material in a large range of strain states. The aim of this work is to present a heterogeneous mechanical test with an innovative tool/specimen shape, capable of producing rich heterogeneous strain paths and thus providing extensive information on material behavior. The proposed specimen is found using a shape optimization process where an index that evaluates the richness of strain information is used. In this work, the methodology and results are extended to non-specimen geometry dependence and to the non-dependence of the geometry parametrization through the use of the Ritz method for boundary value problems. Different curve models, such as splines, B-splines, and NURBS, are used, and C1 continuity throughout the specimen is guaranteed. Moreover, several deterministic and stochastic optimization methods are used in order to find the method or the combination of methods able to minimize the cost function effectively. Results demonstrated that the solution is dependent on the geometry definition, as well as on the optimization methodology. Nevertheless, the obtained solutions provided a wider spectrum of strain states than standard tests.

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Design of an indicator to characterize and classify mechanical tests for sheet metals

Cited by 27 publications

References 27 publications

Experimental Validation of the Sensitivity-Based Virtual Fields for Identification of Anisotropic Plasticity Models

Experimental Validation of the Sensitivity-Based Virtual Fields for Identification of Anisotropic Plasticity Models

Calibration of Advanced Yield Criteria Using Uniaxial and Heterogeneous Tensile Test Data

On the Design of Innovative Heterogeneous Sheet Metal Tests Using a Shape Optimization Approach

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