Micromechanical modelling of bending under tension forming behaviour of dual phase steel 600

Wei, Xing; Asgari, Sirous; Wang, Jiangting; Rolfe, Bernard; Zhu, H.C.; Hodgson, Peter

doi:10.1016/j.commatsci.2015.06.012

Cited by 19 publications

(17 citation statements)

References 19 publications

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“…Due the importance of the mechanical properties control in these kind of advanced steels, in the scientific literature have been reported several works to predict the mechanical properties of DP steels using numerical methods based on microstructural characteristics, such as the morphology, phases ratio and diffusion equations for dual phase steel with maximum tensile strength of 1000 MPa [12][13][14][15][16][17][18][19][20]. In this context, Pernach et al [18] used numerical methods to model the decomposition of austenite in DP600 steel based on the equations that govern the kinetics and diffusion in steels.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Continuous Galvanizing Heat Treatment Process in Ultra-High Strength Dual Phase Steels Using a Multivariate Model

Costa

Altamirano

Salinas‐Rodríguez

et al. 2019

Metals

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The main process variables to produce galvanized dual phase (DP) steel sheets in continuous galvanizing lines are time and temperature of intercritical austenitizing (tIA and TIA), cooling rate (CR1) after intercritical austenitizing, holding time at the galvanizing temperature (tG) and finally the cooling rate (CR2) to room temperature. In this research work, the effects of CR1, tG and CR2 on the ultimate tensile strength (UTS), yield strength (YS), and elongation (EL) of cold rolled low carbon steel were investigated by applying an experimental central composite design and a multivariate regression model. A multi-objective optimization and the Pareto Front were used for the optimization of the continuous galvanizing heat treatments. Typical thermal cycles applied for the production of continuous galvanized AHSS-DP strips were simulated in a quenching dilatometer using miniature tensile specimens. The experimental results of UTS, YS and EL were used to fit the multivariate regression model for the prediction of these mechanical properties from the processing parameters (CR1, tG and CR2). In general, the results show that the proposed multivariate model correctly predicts the mechanical properties of UTS, YS and %EL for DP steels processed under continuous galvanizing conditions. Furthermore, it is demonstrated that the phase transformations that take place during the optimized tG (galvanizing time) play a dominant role in determining the values of the mechanical properties of the DP steel. The production of hot-dip galvanized DP steels with a minimum tensile strength of 1100 MPa is possible by applying the proposed methodology. The results provide important scientific and technological knowledge about the annealing/galvanizing thermal cycle effects on the microstructure and mechanical properties of DP steels.

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Section: Introductionmentioning

confidence: 99%

Optimization of the Continuous Galvanizing Heat Treatment Process in Ultra-High Strength Dual Phase Steels Using a Multivariate Model

Costa

Altamirano

Salinas‐Rodríguez

et al. 2019

Metals

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“…Combined with Figure 8d, when the overall strain is greater than 0.03, the ferrite dislocation density tends to saturate; thus, subsequent material hardening is mainly attributed to martensite. Due to a high internal friction stress and the dislocation density of martensite, the martensitic stress is much higher than that of the ferrite and the overall stress (Figure 9) [13,47,[53][54][55][56][57][58]. The results show that the mean dislocation densities of both martensite and ferrite are positively correlated with the true stress, as shown in Figure 8a.…”

Section: Mechanical Behavior Of Dp800mentioning

confidence: 89%

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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“…Note that it is assumed here that the lath width, L, is the mean dislocation free path length, as described by Wei et al [21]. G is shear modulus and a Poisson's ratio of 0.3 was assumed.…”

Section: Constitutive Model With Damagementioning

confidence: 99%

A through-process, thermomechanical model for predicting welding-induced microstructure evolution and post-weld high-temperature fatigue response

Ardghail

Harrison

Leen

2018

International Journal of Fatigue

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Micromechanical modelling of bending under tension forming behaviour of dual phase steel 600

Cited by 19 publications

References 19 publications

Optimization of the Continuous Galvanizing Heat Treatment Process in Ultra-High Strength Dual Phase Steels Using a Multivariate Model

Optimization of the Continuous Galvanizing Heat Treatment Process in Ultra-High Strength Dual Phase Steels Using a Multivariate Model

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

A through-process, thermomechanical model for predicting welding-induced microstructure evolution and post-weld high-temperature fatigue response

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