Microstructural and Micromechanical Effects of Cold Roll-forming on High Strength Dual Phase Steels

Ruiz-Andres, M.; Conde, A.; Damborenea, J. de; García, I.

doi:10.1590/1516-1439.000314

Cited by 8 publications

(1 citation statement)

References 42 publications

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“…Through experimental in-situ tensile testing using scanning electron microscopy (SEM) in conjunction with digital image correlation (DIC), the local deformation and damage mechanisms of commercial DP600 steel were investigated by Ghadbeigi et al (2013). The correlation between the 1000 MPa DP steel microstructure and elongation obtained after the roll forming process was examined both microstructurally and micro mechanically by Ruiz-Andresa et al (2015). The examination of the curved area using SEM showed changes in the ferrite-martensite microstructure.…”

Section: Introductionmentioning

confidence: 99%

Stress-strain distribution and failure mechanisms in dual-phase steels investigated with microstructure-based modeling

Topilla

Toros

2022

Lat. Am. j. solids struct.

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In this study, the microstructural-based finite element modeling of dual-phase steels was investigated to visualize the crack initiation and its propagation through the phases that exist in the material. The parameters of various failure models, including Gurson, Gurson-Johnson-Cook, and Johnson-Cook (JC), were calibrated for different microstructure levels of DP600, DP800, and DP1000 steels. The onset of cracking, nucleation, void growth, and coalescence was determined using the models. As a result of the optimization studies, there is not much difference between the flow curves of the materials and the tensile values calculated from the tensile tests for DP600 and DP800, while it is slightly higher for DP1000. However, considering the fracture, martensite phases were found to be the main determinant of this situation. Cracks that start in the martensite phases then propagate through the ferrite phase and eventually cause the material to break. According to the results of the simulations, the difference between the experiments and the simulation results of the Gurson is 3.33%, the Gurson-JC is 1.82%, and the JC model is 2.39%.

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Section: Introductionmentioning

confidence: 99%