Strain rate dependent tensile behavior of advanced high strength steels: Experiment and constitutive modeling

Kim, Jihoon; Kim, Dae-Yong; Han, Heung Nam; Barlat, Frédéric; Lee, Myoung‐Gyu

doi:10.1016/j.msea.2012.08.087

Cited by 118 publications

(47 citation statements)

References 25 publications

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“…Therefore, it is 68 important to understand the behavior of these materials over the entire strain rate history, here 69 taken as 10 -3 -10 3 s -1 , and to develop accurate constitutive models for the finite element (FE) 70 simulation of metal forming processes and in-service dynamic loading. Consequently, the 71 strain rate dependent behavior of metal alloys necessitate the development of constitutive 72 models based on low to high strain rate experimental data for improved crash modeling [2]. 73 Dual Phase (DP) and Transformation Induced Plasticity (TRIP) steels are typical 74 representatives of the AHSS alloy group in the modern automotive industry while 5000-series 75 aluminum alloys have low density, good formability and moderate strength that also make 76 them an attractive alternative to conventional steel alloys.…”

mentioning

confidence: 99%

Effect of strain rate on flow stress and anisotropy of DP600, TRIP780, and AA5182-O sheet metal alloys

Rahmaan

Bardelcik

Imbert

et al. 2016

International Journal of Impact Engineering

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mentioning

confidence: 99%

Effect of strain rate on flow stress and anisotropy of DP600, TRIP780, and AA5182-O sheet metal alloys

Rahmaan

Bardelcik

Imbert

et al. 2016

International Journal of Impact Engineering

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“…Some studies have interpreted such regions as brittle or cleavage failure. [21][22][23] However, the non-planar topography of these regions is more indicative of shear-band failure or ductile tearing at a crack tip. Such regions are indicated by X in the enlarged region of Figure 7(e).…”

Section: Mid-plane Analysismentioning

confidence: 99%

Deformation-Induced Microstructural Banding in TRIP Steels

Celotto

Ghadbeigi

Pinna

et al. 2018

Metall Mater Trans A

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Microstructure inhomogeneities can strongly influence the mechanical properties of advanced high-strength steels in a detrimental manner. This study of a transformation-induced plasticity (TRIP) steel investigates the effect of pre-existing contiguous grain boundary networks (CGBNs) of hard second-phases and shows how these develop into bands during tensile testing using in situ observations in conjunction with digital image correlation (DIC). The bands form by the lateral contraction of the soft ferrite matrix, which rotates and displaces the CGBNs of second-phases and the individual features within them to become aligned with the loading direction. The more extensive pre-existing CGBNs that were before the deformation already aligned with the loading direction are the most critical microstructural feature for damage initiation and propagation. They induce micro-void formation between the hard second-phases along them, which coalesce and develop into long macroscopic fissures. The hard phases, retained austenite and martensite, were not differentiated as it was found that the individual phases do not play a role in the formation of these bands. It is suggested that minimizing the presence of CGBNs of hard second-phases in the initial microstructure will increase the formability.

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“…Elasto-plasticity was the first type of non-linear constitutive model to be tackled [8]. The non-linear virtual fields method has since been used to study a wide range of materials such as arteries [4], rubbers [10,28,29], composites [7], and metals [12][13][14]17,25]. As a result, many different non-linear constitutive model types were considered including hyperelasticity, elasto-plasticity, visco-elasticity, and anisotropic plasticity.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity-based virtual fields for the non-linear virtual fields method

2017

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The virtual fields method is an approach to inversely identify material parameters using full-field deformation data. In this manuscript, a new set of automaticallydefined virtual fields for non-linear constitutive models has been proposed. These new sensitivity-based virtual fields reduce the influence of noise on the parameter identification. The sensitivity-based virtual fields were applied to a numerical example involving small strain plasticity; however, the general formulation derived for these virtual fields is applicable to any non-linear constitutive model. To quantify the improvement offered by these new virtual fields, they were compared with stiffness-based and manually defined virtual fields. The proposed sensitivity-based virtual fields were consistently able to identify plastic model parameters and outperform the stiffness-based and manually defined virtual fields when the data was corrupted by noise.Keywords Virtual fields method · Sensitivity-based virtual fields · Inverse identification · Full field measurement · Elasto-plastic · Digital image correlation Electronic supplementary material The online version of this article

show abstract

Strain rate dependent tensile behavior of advanced high strength steels: Experiment and constitutive modeling

Cited by 118 publications

References 25 publications

Effect of strain rate on flow stress and anisotropy of DP600, TRIP780, and AA5182-O sheet metal alloys

Effect of strain rate on flow stress and anisotropy of DP600, TRIP780, and AA5182-O sheet metal alloys

Deformation-Induced Microstructural Banding in TRIP Steels

Sensitivity-based virtual fields for the non-linear virtual fields method

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