Erratum to “Optimisation based material parameter identification using full field displacement and temperature measurements” [Mech. Mater. 145 (2020) 103292]

Rose, Lars; Menzel, Andreas

doi:10.1016/j.mechmat.2020.103630

Cited by 3 publications

(2 citation statements)

References 1 publication

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“…More recently, Rose and Menzel proposed a staggered identification methodology, which considered three calibration phases dedicated to elastic, plastic and thermal material parameters. [ 110 ] In this case, a thermo‐mechanical heterogeneous test was used.…”

Section: Heterogeneous Tests Coupled With Inverse Methodsmentioning

confidence: 99%

Testing methodologies for the calibration of advanced plasticity models for sheet metals: A review

Rossi

Lattanzi

Morichelli

et al. 2022

Strain

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Numerical simulations have become essential in engineering and manufacturing processes involving plasticity. The reliability and effectiveness of the simulations depend strongly on the accuracy of the adopted constitutive model. Accordingly, in recent years, an increasing interest is pointed towards experimental procedures and characterization methods that can be used to identify the constitutive parameters of advanced plasticity models, which allow to simulate properly the plastic behaviour of complex materials like, for instance, high strength steel. This paper provides a thorough review of the current stateof-the-art, looking at both academia and industry. The available methodologies can be subdivided in two main areas: quasi-homogeneous material tests with analytical or numerical post-treatment of the experimental data and heterogeneous tests coupled with inverse methods for parameter identification. For each method, a brief description and references to norms and articles is provided, illustrating the advantages and the disadvantages.

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Section: Heterogeneous Tests Coupled With Inverse Methodsmentioning

confidence: 99%

Testing methodologies for the calibration of advanced plasticity models for sheet metals: A review

Rossi

Lattanzi

Morichelli

et al. 2022

Strain

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“…Experimental data for an assembly of copper and brass are presented, as well as simulations for an electronic component. In reference, [ 206 ] simultaneous temperature and deformation fields were performed to identify a thermo‐mechanical model using FEMU. The initial thermoelastic coupling followed by plastic heat dissipation allowed for a plasticity model (Voce) and thermo‐physical parameters (density, heat capacity and CTE) to be identified.…”

Section: Classification By Type Of Materialsmentioning

confidence: 99%

Material Testing 2.0: A brief review

Pierron

2023

Strain

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With the advent of camera‐based full‐field measurement techniques such as digital image correlation (DIC), researchers have been trying to exploit such rich data sets through the use of more complex test configurations than the standard ones (uniaxial tension/compression, bending etc.). This new paradigm in mechanical testing of materials has recently been christened ‘Material Testing 2.0’. This paper provides a brief overview of this field, which is currently seeing a large increase in research effort.

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ADAPT — A Diversely Applicable Parameter Identification Tool: Overview and full-field application examples

Schowtjak

Schulte

Clausmeyer

et al. 2022

International Journal of Mechanical Sciences

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Erratum to “Optimisation based material parameter identification using full field displacement and temperature measurements” [Mech. Mater. 145 (2020) 103292]

Cited by 3 publications

References 1 publication

Testing methodologies for the calibration of advanced plasticity models for sheet metals: A review

Testing methodologies for the calibration of advanced plasticity models for sheet metals: A review

Material Testing 2.0: A brief review

ADAPT — A Diversely Applicable Parameter Identification Tool: Overview and full-field application examples

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