Effect of Controlled Rolling on Texture Development in a Plain Carbon and a Nb Microalloyed Steel.

Ray, R.K.; Butrón-Guillén, M.P.; Jonas, John J.; Ruddle, G. E.

doi:10.2355/isijinternational.32.203

Cited by 33 publications

(31 citation statements)

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“…The finish rolling temperature (FRT) is one of the main parameters that affects the  condition prior to transformation, as it determines the lowest temperature at which the deformation is applied. Ray et al [29] reported a sharp transformation texture in plain C and Nb microalloyed steels for low FRTs, typically in the  non-recrystallisation range. It promotes the {332}<-1-13> component in particular, which is believed to be the most beneficial component for mechanical properties.…”

Section: Introductionmentioning

confidence: 99%

Crystallographic Reconstruction Study of the Effects of Finish Rolling Temperature on the Variant Selection During Bainite Transformation in C-Mn High-Strength Steels

Bernier

Bracke

Malet

et al. 2014

Metall Mater Trans A

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The effect of finish rolling temperature (FRT) on the austenite-(  ) to-bainite ( ) phase transformation is quantitatively investigated in high-strength C-Mn steels. In particular, the present study aims to clarify the respective contributions of the  conditioning during the hot rolling and the variant selection (VS) during the phase transformation to the inherited texture.To this end, an alternative crystallographic  reconstruction procedure, which can be directly applied to experimental electron backscatter diffraction (EBSD) mappings, is developed by combining the best features of the existing models: the orientation relationship (OR) refinement, the local pixel-by-pixel analysis and the nuclei identification and spreading strategy. The applicability of this method is demonstrated on both quenching and partitioning (Q&P) and as-quenched lath-martensite steels. The results obtained on the C-Mn steels confirm that the sample finish rolled at the lowest temperature (829°C) exhibits the sharpest transformation texture. It is shown that this sharp texture is exclusively due to a strong VS from parent brass {110}<1-12>, S {213}<-3-64> and Goss {110}<001> grains, whereas the VS from the copper {112}<-1-11> grains is insensitive to the FRT. In addition, a statistical VS analysis proves that the habit planes of the selected variants do not systematically correspond to the predicted active  slip planes using the Taylor model. In contrast, a correlation between the Bain group to which the selected variants belong and the FRT is clearly revealed, regardless of the parent orientation. These results are discussed in terms of polygranular accommodation mechanisms, especially in view of the observed development in the hot-rolled samples of high-angle grain boundaries with misorientation axes between <111>  and <110>  .

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Section: Introductionmentioning

confidence: 99%

Crystallographic Reconstruction Study of the Effects of Finish Rolling Temperature on the Variant Selection During Bainite Transformation in C-Mn High-Strength Steels

Bernier

Bracke

Malet

et al. 2014

Metall Mater Trans A

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“…Therefore, it is the most efficient way to control the strength anisotropy by reducing the component proportion of copper texture in the deformed austenite, as well as to reduce the transformation possibility of Goss texture. According to the investigation results, higher deformation temperature can change the texture component of face centered cubic material, increase the component of Brass and S type texture, and correspondingly reduce that of Copper texture [8][9]. Therefore, with the increment of finishing rolling temperature, the {112}<110> texture component becomes lower and the anisotropy problem gets improved.…”

Section: Advances In Engineering Research Volume 146mentioning

confidence: 99%

“…When the rolling temperature decreases, copper texture tends to transform to be {112}<110>. On the other hand, some part of {112}<110> texture transforms from Goss texture({110}<001>), which can also transforms to {111}<110> texture partially, especially when the rolling temperature is higher [9]. Therefore, it is the most efficient way to control the strength anisotropy by reducing the component proportion of copper texture in the deformed austenite, as well as to reduce the transformation possibility of Goss texture.…”

Section: Advances In Engineering Research Volume 146mentioning

confidence: 99%

Effect of Hot Rolling Parameters on Texture and Anisotropy of X65MO offshore pipeline steel

Niu¹,

Chenggang²,

Wu³

et al. 2018

Proceedings of the 4th Annual International Conference on Material Engineering and Application (ICMEA 2017)

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Abstract-In this study, optical microscope (OM), tensile test, X-ray diffraction (XRD) method were used to investigate the effect of hot rolling parameters on texture and tensile properties of X65MO offshore pipeline steel. Result of microstructure observation reveals that the anisotropy of mechanical properties of X65MO submarine pipeline steel is not due to the different growing direction of grains, but to the different crystal orientations -texture. And the texture mainly consists of near {112}<110>, {111}<112> and {001}<110> for hot rolled X65MO offshore pipeline steel, which depends on the texture of austenite and its revolution during phase transformation process. Increasing the finishing rolling temperature can reduce the density of {112}<110> texture dramatically and correspondingly reduce the anisotropy, while higher deformation will increase {112}<110> component and intensify the anisotropy of strength. Reason analysis suggests that the key point is to reduce the copper texture and increase the others instead. Optimized finishing rolling temperature and transfer bar thickness were recommended based on the investigation.

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“…Low carbon steel has been studied continuously because in addition to chemical composition, processing parameters including hot, warm and cold forming, thermal processing parameters highly influence the microstructure and mechanical properties of low carbon steel [4][5][6]. Fast cooling after hot rolling has been reported to lead more pearlite and finer ferrite grain size that is more critical than finish rolling temperatures for low carbon cold heading steel [6].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Mechanical Properties of Cold Rolled Steel Using Genetic Expression Programming

Kanca

Çavdar

Erşen³

2016

Acta Phys. Pol. A

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A new model was developed to predict the mechanical properties of St22 grade cold rolled deep drawing steel by gene expression programming. To obtain a dataset to find out the effect of reduction rate on the mechanical properties of cold rolled and galvanized steel sheet, an experimental program was constructed in the real production plant by keeping all other process parameters constant. The training and testing data sets of gene expression programming model were obtained from the test results. For gene expression programming model, mechanical properties (yield strength, ultimate tensile strength and elongation) before cold rolling, chemical composition, initial sheet thickness and reduction rate were used as independent input variables, while mechanical properties after cold rolling (yield strength, ultimate tensile strength and elongation) were used as dependent output variables. Before constructing the gene expression programming models for dependent variables, dataset was analyzed using the analysis of variance and statistically significant (P ≤ 0.1) independent parameters, i.e. initial sheet thickness, reduction rate, initial yield strength, initial tensile strength, elongation and Mn content were used in gene expression programming model. Different models were obtained for each dependent variable depending on the significant independent variables using the training dataset and accuracy of the best models was verified with testing data set.The predicted values were compared with experimental results and it was found that models are in good agreement with the experimentally obtained results.

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Effect of Controlled Rolling on Texture Development in a Plain Carbon and a Nb Microalloyed Steel.

Cited by 33 publications

References 0 publications

Crystallographic Reconstruction Study of the Effects of Finish Rolling Temperature on the Variant Selection During Bainite Transformation in C-Mn High-Strength Steels

Crystallographic Reconstruction Study of the Effects of Finish Rolling Temperature on the Variant Selection During Bainite Transformation in C-Mn High-Strength Steels

Effect of Hot Rolling Parameters on Texture and Anisotropy of X65MO offshore pipeline steel

Prediction of Mechanical Properties of Cold Rolled Steel Using Genetic Expression Programming

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