Micromechanical modeling of damage mechanisms in dual-phase steel under different stress states

Darabi, Ali Cheloee; Kadkhodapour, Javad; Anaraki, Ali Pourkamali; Khoshbin, Mohammadreza; Alaie, A.; Schmauder, Siegfried

doi:10.1016/j.engfracmech.2020.107520

Cited by 13 publications

(3 citation statements)

References 39 publications

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“…The following constitutive equation has been applied to model the plastic behavior of martensite [15,18] σ…”

Section: Martensite Flow Stressmentioning

confidence: 99%

“…The following constitutive equation has been applied to model the plastic behavior of martensite [ 15,18 ]

$$\left(\sigma\right)_{\text{M}} ^{2} = \left(\sigma\right)_{\text{s}} ^{2} + \left(\right. \left(\sigma\right)_{0} ^{2} - \left(\sigma\right)_{\text{s}} ^{2} \left.\right) exp \left(\right.

…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…Jafari et al [ 13 ] used dislocation density‐based crystal plasticity finite element to investigate the orientations of ferrite grains on the strain localization and plasticity of DP steel. In several works, the finite element method in microscale, considering the effect of the microstructure through representative volume element, has been employed to investigate flow behavior, [ 14 ] phase distribution topology, [ 15 ] generated geometrically necessary dislocations, [ 14 ] strain localization, [ 16 ] strain hardening, [ 17 ] and the fracture behavior [ 18 ] of DP steels. These works are mainly based on the simulation of the smallest volume over which a measurement can be made with the initial assumption of the flow behavior of martensite and ferrite.…”

Section: Introductionmentioning

confidence: 99%

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Micromechanical Modeling of Strain‐Hardening Behavior in Dual‐Phase Steels

Rezayat

Rahron

Allafi

2023

steel research int.

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A mathematical model is developed to consider the impact of microstructural parameters, including the volume fraction and the average particle size of martensite, on the flow stress and strain‐hardening behavior of dual‐phase microstructure. In this regard, the micromechanical approach is applied for partitioning the stress and strain in ferrite and martensite. Martensite carbon content and geometrically necessary dislocations, generated from austenite‐to‐martensite transformation, and strain accommodation at the ferrite–martensite interface, are involved to modify the partitioned stress of martensite and ferrite, respectively. Having partitioned stress in each phase, the global stress is estimated as the function of steel chemical composition, ferrite grain size, martensite particle size, aspect ratio, and volume fraction. To evaluate the applicability of the proposed model, four dual‐phase steels containing 12, 25, 34, and 48% volume fractions of martensite are prepared from the intermediate quenching process, and then after the strain‐hardening stages are investigated. Comparing the experimental result and model output reveals that the presented model shows good predictive capabilities to identify strain‐hardening stages and estimate the inverse of the strain‐hardening exponent.

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“…The following constitutive equation has been applied to model the plastic behavior of martensite [15,18] σ…”

Section: Martensite Flow Stressmentioning

confidence: 99%

“…The following constitutive equation has been applied to model the plastic behavior of martensite [ 15,18 ]

$$\left(\sigma\right)_{\text{M}} ^{2} = \left(\sigma\right)_{\text{s}} ^{2} + \left(\right. \left(\sigma\right)_{0} ^{2} - \left(\sigma\right)_{\text{s}} ^{2} \left.\right) exp \left(\right.

…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Micromechanical Modeling of Strain‐Hardening Behavior in Dual‐Phase Steels

Rezayat

Rahron

Allafi

2023

steel research int.

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Optimizing sheet metal edge quality with laser-polishing: surface characterization and performance evaluation

Li,

Linnenbrink,

Tekkaya

et al. 2024

Int J Mater Form

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Dual-phase (DP) steels are widely used in the automotive industry due to their exceptional performance. It offers excellent strength, ductility, formability, and weldability. However, there is a high risk of edge cracking, particularly in materials like DP1000 steel, caused by residual damage from blanking, such as microcracks and burrs, which needs further investigation. In this study, the transformative potential of laser-polishing on DP1000 steel was investigated. The goal was to reduce edge crack sensitivity and enhance edge formability. In this work, laser-polished samples produced by various pre-manufacturing techniques such as sawing, punching, and waterjet cutting were examined. Various evaluations were performed on laser-polished samples. Those included white-light-confocal microscopy, scanning electron microscopy, and Electron Backscatter Diffraction (EBSD) analysis. Those evaluations aimed to analyze the microstructural transformation, surface roughness, and micro grain size distribution resulting from laser-polishing. Laser-polishing is a process in which the edge of the sample is remelted locally. Hence, residual damage vanishes, and surface defects disappear, which should be beneficial for edge formability. On the other hand, the cooling rate during re-solidification is high, leading to high strength and reduced ductility compared to the initial DP steel. Therefore, hole expansion tests were conducted to evaluate the edge formability of the steel. The results indicated a significant improvement in the hole expansion ratio of the laser-polished samples compared to samples with conventional manufactured edges. These findings will help to assess the advantages and limitations of laser-polishing in sheet material manufacturing.

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