Development of Recrystallization Texture Prediction Method Linking with Deformation Texture Prediction Model

Morimoto, Toshiharu; Yoshida, Fuyuki; Kusumoto, Yuji; Yanagida, Akira

doi:10.2355/isijinternational.52.592

Cited by 10 publications

(5 citation statements)

References 28 publications

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“…Second, as the cold rolling and annealing, grains with a high total number of microscopic slips might obtain a preferred orientation. The first assumptions were valid as indicated in our previous report [31]. These assumptions were introduced for the static recrystallization in the interval of hot-rolling.…”

Section: Recrystallization Texture Modelmentioning

confidence: 99%

Application of Recrystallization Texture Evolution Model to Predict Plastic Formability in Steel Strips

Morimoto

Yoshida

Yanagida

et al. 2014

MSF

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T.M.C.P.(Thermo Mechanical Control Processing) has been widely used to improveplastic formability in steel strips. We have produced interstitial free steel(IF steel) strips and ferriticstainless-steel strips through T.M.C.P. rolling method. Optimizing conditions of hot rolling, hotrolled annealing, cold rolling and cold rolled annealing, we developed texture prediction model. Wecan predict rolling texture accurately using the conventional Taylor model. Moreover, we preciselypredict recrystallization texture classifying the total number of microscopic􀀁 slips which arecalculated using the Taylor model. We consider that these calculated results provednucleation-oriented model and two types of recrystallization and grain growth mechanisms exit inour studies. One mechanism is that grains which had the small total number of microscopic slips arepreferred orientation for the hot rolled and annealed ferritic stainless-steel strip. The othermechanism is that grains which had the high total number of microscopic slips are preferredorientation for the cold rolled and annealed IF steel strip.

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Section: Recrystallization Texture Modelmentioning

confidence: 99%

Application of Recrystallization Texture Evolution Model to Predict Plastic Formability in Steel Strips

Morimoto

Yoshida

Yanagida

et al. 2014

MSF

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“…Over the past few decades, crystal plasticity (CP) simulation has been used to predict the evolution of the deformation texture [5][6][7]. However, there are few reports on texture evolution analysis during hot rolling processes.…”

Section: Introductionmentioning

confidence: 99%

The through-process texture analysis of plate rolling by coupling finite element and fast Fourier transform crystal plasticity analysis

Fujita¹,

Igi²,

Diehl

et al. 2019

Modelling Simul. Mater. Sci. Eng.

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The demand for heavy-gauge steel plates for use in the large structures has been increasing steadily. Controlled rolling is an effective method of both increasing the strength of steel plates and improving their toughness. Techniques for controlling the texture of polycrystalline materials are very important because texture distribution has a strong effect not only on the characteristics of steel plates but also on their mechanical and toughness properties. However, it is difficult to quantitatively evaluate the evolution of the plate rolling texture through experimentation because the plate rolling process includes recrystallization and transformation. For this purpose, a recently developed hybrid numerical approach that involves the integrated use of the crystal plasticity (CP) finite element method and the CP fast Fourier transform method was employed in this study. With this hybrid method, the influence of the plate rolling conditions on the deformed/transformed texture evolution and the influence of texture distribution in the thickness direction on the fracture toughness can be captured. The through-process texture analysis presented in this paper provides new insights into the prediction of texture, microstructure, and mechanical response in the industrial processes which are hard to monitor directly.

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“…Figure 13 shows the predicted texture of the cold-rolling and annealing strip by the continuous texture prediction method. 20) Although this recrystallization model was the first approximation, prediction accuracy was qualitatively good. However, many problems exit in this model.…”

Section: )mentioning

confidence: 99%

“…The first assumptions were valid as indicated in our previous report. 20) These assumptions were introduced for the static recrystallization in the interval of hot-rolling. High temperature uniaxial compression of Fe3%Si alloy showed that fiber texture with {001} and {111} was formed as major and minor component.…”

Section: Recrystallization Modelmentioning

confidence: 99%

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Application of Recrystallization Texture Evolution Model to Type 430 Stainless-Steel Strip Production

et al. 2012

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The ridging phenomenon of type 430 stainless-steel originates from the texture due to crystal plasticity anisotropy. Thus, to predict the antiridging property, we must continuously analyze the hot-rolling, hot-rolling and annealing, cold-rolling, cold-rolling and annealing textures. However, it has been previously difficult to analyze the recrystallization texture. We thus developed a model to predict the recrystallization texture coupled with the Taylor rolling model. Furthermore, the ridging index was calculated in order to estimate the plasticity in type 430 stainless-steels. The plasticity prediction method was applied to type 430 stainless-steel strips rolled at a low temperature with a high reduction rate in an actual tandem hot strip mill.

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Development of Recrystallization Texture Prediction Method Linking with Deformation Texture Prediction Model

Cited by 10 publications

References 28 publications

Application of Recrystallization Texture Evolution Model to Predict Plastic Formability in Steel Strips

Application of Recrystallization Texture Evolution Model to Predict Plastic Formability in Steel Strips

The through-process texture analysis of plate rolling by coupling finite element and fast Fourier transform crystal plasticity analysis

Application of Recrystallization Texture Evolution Model to Type 430 Stainless-Steel Strip Production

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