Numerical approach of cyclic behaviour of 316LN stainless steel based on a polycrystal modelling including strain gradients

Schwartz, Julien; Fandeur, Olivier; Rey, Colette

doi:10.1016/j.ijfatigue.2013.07.003

Cited by 20 publications

(14 citation statements)

References 60 publications

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“…Reported, when the unit is not specified, the parameter is adimensional. * We note that there is an inversion between a2 and a3 in [30] compared to [32])).…”

Section: Parameter Identificationmentioning

confidence: 76%

Validity of Crystal Plasticity Models Near Grain Boundaries: Contribution of Elastic Strain Measurements at Micron Scale

Plancher

Tajdary

Auger

et al. 2019

JOM

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Synchrotron Laue microdiffraction and Digital Image Correlation measurements were coupled to track the elastic strain field (or stress field) and the total strain field near a general grain boundary in a bent bicrystal. A 316L stainless steel bicrystal was deformed in situ into the elasto-plastic regime with a four-point bending setup. The test was then simulated using finite elements with a crystal plasticity model comprising internal variables (dislocation densities on discrete slip systems). The predictions of the model have been compared with both the total strain field and the elastic strain field obtained experimentally. While activated slip systems and total strains are reasonably well predicted, elastic strains appear overestimated next to the grain boundary. This suggests that conventional crystal plasticity models need improvement to correctly model stresses at grain boundaries.

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“…Reported, when the unit is not specified, the parameter is adimensional. * We note that there is an inversion between a2 and a3 in [30] compared to [32])).…”

Section: Parameter Identificationmentioning

confidence: 76%

Validity of Crystal Plasticity Models Near Grain Boundaries: Contribution of Elastic Strain Measurements at Micron Scale

Plancher

Tajdary

Auger

et al. 2019

JOM

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“…The material studied in this work is a 316LN type austenitic stainless steel whose chemical composition is given in [36]. The material was supplied as a rolled plate.…”

Section: Materials and Fatigue Testmentioning

confidence: 99%

“…Following this approach, material can be removed by FIB [34] or by mechanical polishing [35,36]. It should be noted that FIB-EBSD technique is currently able to characterize a maximal volume whose dimensions are about 100×100×100µm 3 that may be inappropriate for alloys with conventional grain size.…”

mentioning

confidence: 99%

Influence of local crystallographic configuration on microcrack initiation in fatigued 316LN stainless steel: Experiments and crystal plasticity finite elements simulations

Signor

Villechaise

Ghidossi

et al. 2016

Materials Science and Engineering: A

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“…Li et al [20,21] considered the softening effect in the stainless steel and studied the overload effect and the influence of the loading path. Schwartz et al [22] employed a non-local approach to account for the strain gradient between adjacent points, which gives a better prediction of the tensile and fatigue tests for materials of a variety of grain sizes. Guilhem et al [23,24] pointed out the cluster effect for the local fracture, such as grain location, grain arrangement and interaction.…”

Section: Introductionmentioning

confidence: 99%

Material characterisation and finite element modelling of cyclic plasticity behaviour for 304 stainless steel using a crystal plasticity model

Sun

Becker

2016

International Journal of Mechanical Sciences

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A note on versions:The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription. Abstract: Low cycle fatigue tests were carried out for a 304 stainless steel at room temperature. A series of experimental characterisations, including SEM, TEM, and XRD were conducted on for the 304 stainless steel to facilitate the understanding of the mechanical responses and microstructural behaviour of the material under cyclic loading including nanostructure, crystal structure and the fractured surface. The crystal plasticity finite element method (CPFEM) is a powerful tool for studying the microstructure influence on the cyclic plasticity behaviour. This method was incorporated into the commercially available software ABAQUS by coding a UMAT user subroutine. Based on the results of fatigue tests and material characterisation, the full set of material constants for the crystal plasticity model was determined. The CPFEM framework used in this paper can be used to predict the crack initiation sites based on the local accumulated plastic deformation and local plastic dissipation energy criterion, but with limitation in predicting the crack initiation caused by precipitates.

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Numerical approach of cyclic behaviour of 316LN stainless steel based on a polycrystal modelling including strain gradients

Cited by 20 publications

References 60 publications

Validity of Crystal Plasticity Models Near Grain Boundaries: Contribution of Elastic Strain Measurements at Micron Scale

Validity of Crystal Plasticity Models Near Grain Boundaries: Contribution of Elastic Strain Measurements at Micron Scale

Influence of local crystallographic configuration on microcrack initiation in fatigued 316LN stainless steel: Experiments and crystal plasticity finite elements simulations

Material characterisation and finite element modelling of cyclic plasticity behaviour for 304 stainless steel using a crystal plasticity model

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