Numerical study of the effect of martensite plasticity on the forming limits of a dual-phase steel sheet

Schwindt, Claudio Daniel; Bertinetti, María de los Angeles; Iurman, L.; Rossit, Carlos A.; Signorelli, Javier

doi:10.1007/s12289-015-1236-9

Cited by 14 publications

(7 citation statements)

References 63 publications

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“…Furthermore, severe wrinkles may damage or even destroy the forming tools due to high contact pressures arising in the areas subjected to wrinkling [4]. However, the recent tendency in the automotive industry to use very thin high strength steel sheets to reduce fuel consumption and improve the safety, increases the likelihood of wrinkling during forming [5]. In the same way, the improvements carried out in the can manufacturing technology are aimed to reduce the weight and cost of the can bodies.…”

Section: Introductionmentioning

confidence: 99%

Numerical and experimental analysis of wrinkling during the cup drawing of an AA5042 aluminium alloy

et al. 2015

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The recent trend to reduce the thickness of metallic sheets used in forming processes strongly increases the likelihood of the occurrence of wrinkling. Thus, in order to obtain defect-free components, the prediction of this kind of defect becomes extremely important in the tool design and selection of process parameters. In this study, the sheet metal forming process proposed as a benchmark in the Numisheet 2014 conference is selected to analyse the influence of the tool geometry on wrinkling behaviour, as well as the reliability of the developed numerical model. The side-wall wrinkling during the deep drawing process of a cylindrical cup in AA5042 aluminium alloy is investigated through finite element simulation and experimental measurements. The material plastic anisotropy is modelled with an advanced yield criterion beyond the isotropic (von Mises) material behaviour. The results show that the shape of the wrinkles predicted by the numerical model is strongly affected by the finite element mesh used in the blank discretization. The accurate modelling of the plastic anisotropy of the aluminium alloy yields numerical results that are in good agreement with the experiments, particularly the shape and location of the wrinkles. The predicted punch force evolution is strongly influenced by the friction coefficient used in the model. Moreover, the two punch geometries provide drawn cups with different wrinkle waves, mainly differing in amplitude.

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Section: Introductionmentioning

confidence: 99%

Numerical and experimental analysis of wrinkling during the cup drawing of an AA5042 aluminium alloy

et al. 2015

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“…As can be seen from the pole figures, the orientation aggregation intensities of DP800 steel are weak. The specimen presents a typical cold-rolled and annealed texture [33,47,48].…”

Section: Texture Measurementmentioning

confidence: 99%

“…In this study, a multiphase mixed hardening law for similar crystal structures was constructed to describe the mechanical behavior of DP steel. In DP steels, the martensitic phase takes a low-tetragonality crystal structure [33], which is difficult to distinguish texturally from ferrite using existing X-ray diffraction methods [13]. However, the existing literature suggests that these two phases can be treated as similar in texture [16,28,29].…”

Section: Introductionmentioning

confidence: 99%

Study of the Mechanical Behavior of Dual-Phase Steel Based on Crystal Plasticity Modeling Considering Strain Partitioning

Dan

Ren

et al. 2018

Metals

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The similar crystal structures of martensite (BCT) and ferrite (BCC) cause difficulty in distinguishing the grain orientations of individual phases in dual-phase (DP) steels. A dislocation-based multiphase mixed hardening model is presented, considering both ferrite and martensite strain partitioning, to describe the texture-dependent mechanical behavior of DP steels more precisely. This model is based on the ideals that (i) the volume fractions of the constituent phases and the corresponding strain partitioning function are obtained through in situ tensile experimentation, and (ii) the grain orientations of ferrite and martensite are assumed to be in accordance with the overall texture. We applied the model to calculate the macroscopic and microscopic mechanical behavior of DP800 steel using a crystal plasticity finite element (CPFE) code. The results show that the calculated stress-strain response and textural evolution are in good agreement with the experimental results. The dislocation evolution indicates that the rapid hardening of ferrite induces a high hardening rate for DP steels early in plastic deformation. In addition, for the grains corresponding to the texture center orientations of DP800, the activity and dislocation density evolutions of the slip systems are studied.

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“…In recent years, various methods have been carried out to predict the performance of DP steel . Tasan et al revealed the importance of martensite dispersion by the high resolution μDIC and the crystal plasticity simulation.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, various methods have been carried out to predict the performance of DP steel. [22][23][24][25][26] Tasan et al [27] revealed the importance of martensite dispersion by the high resolution μDIC and the crystal plasticity simulation. Diehl et al [28] presented a crystal plasticity study based on a 3D DP microstructure, which showed that the full 3D microstructures were important for capturing the details of stress and strain partitioning in DP steels.…”

Section: Introductionmentioning

confidence: 99%

Numerical Study on the Effects of Chemical Composition and Microstructure Inconsistencies on Mechanical Properties of Dual‐Phase Steel

Kong

Zhang

et al. 2018

steel research int.

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The chemical composition and microstructure of dual‐phase steels from different production lines are inconsistent due to different manufacturing processes. It is responsible for the mechanical properties differences and brings negative impacts on the applications of DP steel during deformation. In this study, the chemical compositions, martensite volume fraction, and ferrite grain average diameter are investigated by the tests with DP780 steels from different production lines. The finite element models are established based on the microstructures of DP780 steels. Different mechanical properties of DP780 steels with various chemical compositions and microstructures are investigated on the stress–strain relationship and elongation by means of finite element simulation. A novel method with the failure element ratio as an indicator is proposed to evaluate the elongation of DP780 steel based on the micro‐mechanism of tensile fracture. The quantitative effects are obtained separately in the forms of carbon content, martensite volume fraction, and ferrite grain average diameter on the mechanical properties of DP780 steel. It is suggested that the detailed chemical compositions and microstructures should be specified for the criterion of mechanical performance of DP steels.

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Numerical study of the effect of martensite plasticity on the forming limits of a dual-phase steel sheet

Cited by 14 publications

References 63 publications

Numerical and experimental analysis of wrinkling during the cup drawing of an AA5042 aluminium alloy

Numerical and experimental analysis of wrinkling during the cup drawing of an AA5042 aluminium alloy

Study of the Mechanical Behavior of Dual-Phase Steel Based on Crystal Plasticity Modeling Considering Strain Partitioning

Numerical Study on the Effects of Chemical Composition and Microstructure Inconsistencies on Mechanical Properties of Dual‐Phase Steel

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