Annealing Textures for Drawability

Pero-Sanz, José Antonio; Ruiz-Delgado, M; Martı́nez, V.J; Verdeja, J. I.

doi:10.1016/s1044-5803(99)00040-6

Cited by 14 publications

(5 citation statements)

References 1 publication

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“…J. Manuf The higher presence of γ-fibre promotes the improvement of drawability in the annealed 1C sample as a result of a previous higher cold-rolling deformation bright annealing [28] (91% thickness reduction in annealed 1C versus 84% thickness reduction in annealed 0A steel). After cold deformation, the material s stored energy increases as more dislocations are created [29].…”

Section: Microstructure Analysis Of Bcc After Annealing (Before Drawi...mentioning

confidence: 99%

A Combined Microscopy Study of the Microstructural Evolution of Ferritic Stainless Steel upon Deep Drawing: The Role of Alloy Composition

Núñez,

Collado,

De la Mata

et al. 2024

JMMP

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Ferritic stainless steel (FSS) is widely used to manufacture deep-drawn products for corrosion resistance applications, being the alloy drawability strongly affected by its microstructural anisotropy. This study combines a variety of microscopy techniques enabling in-depth analyses of the microstructural evolution of two different FSSs correlated to their deep drawing performance. One of the steels has a good correspondence with the standard EN-1.4016 (AISI 430). The other is a modified version of the previous one with higher contents of the ferrite-stabilising elements Si and Cr, and lower contents of the austenite-stabilising elements C, N, and Mn. Electron Backscatter Diffraction results confirm that the microstructural properties and drawability of FSS in the deep drawing process are improved in the modified steel version. Scanning transmission electron microscopy under low-angle annular dark field conditions evidences that the deformation mechanism of FSS during deep drawing follows a microstructural distortion model based on the grain size gradient and shows a variation of the deformation texture depending on the alloy composition. This work demonstrates the potential of advanced microscopy techniques for optimising the processing and design of ferritic stainless steels, with slight variations in the alloy composition, for deep drawing applications.

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Section: Microstructure Analysis Of Bcc After Annealing (Before Drawi...mentioning

confidence: 99%

A Combined Microscopy Study of the Microstructural Evolution of Ferritic Stainless Steel upon Deep Drawing: The Role of Alloy Composition

Núñez,

Collado,

De la Mata

et al. 2024

JMMP

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show abstract

“…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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“…So far many researches on the drawing properties of cold sheets produced by conventional hot bands properties have been published. [1][2][3][4] However, researches on how to improve the drawing properties of cold sheets produced by TSCR hot bands are spare.…”

Section: Introductionmentioning

confidence: 99%

Drawing Properties of Cold Rolled Sheets Produced from Thin-slab-casting-rolling Hot Strips

Liu

Chen

et al. 2008

ISIJ Int.

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The deep drawable cold sheets rolled with conventional hot bands and thin slab casting and rolling (TSCR) hot bands have different drawing properties. Samples of two kinds of cold sheets were taken in an automobile plant, and tests and analyses were conducted in chemical compositions, microstructures, cementite distributions and inclusion types etc. The investigation results have shown that the deterioration of drawing properties of cold sheets rolled with TSCR hot bands were caused by the differences in chemical composition, microstructure, cementite distribution and inclusion type. The suggestions are given to improve the drawing properties of TSCR hot-bands based cold sheets.

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Annealing Textures for Drawability

Cited by 14 publications

References 1 publication

A Combined Microscopy Study of the Microstructural Evolution of Ferritic Stainless Steel upon Deep Drawing: The Role of Alloy Composition

A Combined Microscopy Study of the Microstructural Evolution of Ferritic Stainless Steel upon Deep Drawing: The Role of Alloy Composition

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

Drawing Properties of Cold Rolled Sheets Produced from Thin-slab-casting-rolling Hot Strips

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