Study of Microstructural and Mechanical Behavior of Mild Steel Wires Cold Drawn at TREFISOUD&lt;i&gt;&lt;/i&gt;

Djimaoui, Toufik; Zidani, Mosbah; Nebbar, Mohamed Chaouki; Abid, T.; Farh, Hichem; Helbert, Anne‐Laure; Brisset, François; Baudin, Thierry

doi:10.4028/www.scientific.net/jera.36.53

Cited by 4 publications

(5 citation statements)

References 14 publications

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“…This takes the structure of the wire to change from isotropic to anisotropic. Numerous studies [12,[19][20][21]26,29] have observed the same texture. For example, Guo et al [2] in their study have investigated the texture evolution of drawn pearlitic steel wires in three regions including the middle, center, and surface of the wire.…”

Section: Texture Evolutionmentioning

confidence: 56%

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Mechanical Properties and Texture Evolution of High-Carbon Steel Wires during Wire Drawing: Strand Manufacturing

Kisrane-Bouzidi

Zidani

Nebbar

et al. 2020

JERA

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In this paper, the evolution of texture in the ferrite phase and mechanical behavior of cold-drawn pearlitic steel wires produced for strand manufacturing at Trefisoud company was investigated. Wire drawing induces the development of dislocation density, reduction of interlamellar spacing and the refinement of grains size which leads to a strong hardening of the wires. That explains the increase of the tensile strength from 1242 MPa to 2618 MPa with higher deformation. Also, the cementite lamellae are rotated toward the drawing axis and the thickness of lamellae further decreases when strain level increases, this phenomenon leads to a somewhat fibrous structure. The quantitative analysis obtained by EBSD data shows the development of a strong (<110> // ND) texture of the ferrite phase leading to a structural transformation from isotropic to anisotropic.

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Section: Texture Evolutionmentioning

confidence: 56%

“…It can be seen that there is almost no plastic deformation at the final wire. It is well known that work hardening rate is dependent on tensile strength and deformation, and this leads certainly to the rising of work hardening rate as a function of drawing strain [16,26,27].…”

Section: Mechanical Propertiesmentioning

confidence: 99%

Mechanical Properties and Texture Evolution of High-Carbon Steel Wires during Wire Drawing: Strand Manufacturing

Kisrane-Bouzidi

Zidani

Nebbar

et al. 2020

JERA

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“…Specifically, carbon steel's underlying mechanical properties present it as a powerful industrial solution to many practical demands and requests. Besides the results reported in the literature [20][21][22][23][24], the present study aims to tackle the problem from a quantitative perspective using machine learning techniques.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Wire Rolling Processes Using Convolutional Neural Networks

Capelin,

Martinez,

Xing

et al. 2024

Adv. Sci. Technol. Res. J.

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This study leverages machine learning to analyze the cross-sectional profiles of materials subjected to wire-rolling processes, focusing on the specific stages of these processes and the characteristics of the resulting microstructural profiles. The convolutional neural network (CNN), a potent tool for visual feature analysis and learning, is utilized to explore the properties and impacts of the cold plastic deformation technique. Specifically, CNNs are constructed and trained using 6400 image segments, each with a resolution of 120 × 90 pixels. The chosen architecture incorporates convolutional layers intercalated with polling layers and the "ReLu" activation function. The results, intriguingly, are derived from the observation of only a minuscule cropped fraction of the material's cross-sectional profile. Following calibration two distinct neural networks, training and validation accuracies of 97.4%/97% and 79%/75% have been achieved. These accuracies correspond to identifying the cropped image's location and the number of passes applied to the material. Further improvements in accuracy are reported upon integrating the two networks using a multiple-output setup, with the overall training and validation accuracies slightly increasing to 98.9%/79.4% and 94.6%/78.1%, respectively, for the two features. The study emphasizes the pivotal role of specific architectural elements, such as the rescaling parameter of the augmentation process, in attaining a satisfactory prediction rate. Lastly, we delve into the potential implications of our findings, which shed light on the potential of machine learning techniques in refining our understanding of wire-rolling processes and guiding the development of more efficient and sustainable manufacturing practices.

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Section: Introductionmentioning

confidence: 99%

“…The microstructural behavior of these steels present themselves as a powerful solution to adapt them to the many implementation processes and the various service requests. This explains the huge amount of research being done on the microstructure of carbon steels in general [1,2,3,4]. The progressive anisotropy of the crystallographic texture or of the elongation of the grains (morphological texture) induced in the material by wire drawing as a consequence of significant changes at the microstructural level.…”

Section: Introductionmentioning

confidence: 99%

Wire Drawing Effect on Microstructural and Textural Evolution in Medium Carbon Steel Wires

Nebbar¹,

Zidani

Messaoudi

et al. 2021

DDF

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This study was mainly oriented on the evolution of the crystallographic texture as a function of the deformation resulting from the industrial wire drawing process. This, in fact, will make it possible to establish a relationship between the microstructure and the crystallographic texture in the medium carbon steel wires obtained by industrial wire drawing process and used in the manufacture of spring mattresses in order to minimize the loss of material and to satisfy the users of this product.During this study, a medium-carbon steel wires was characterized by two analytical techniques. The scanning electron microscopy (SEM) to monitor the microstructure evolution and the electron backscatter diffraction (EBSD) for the crystallographic texture analysis. The EBSD results are processed with OIM (Orientation Imaging Microscopy) analysis software.

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Study of Microstructural and Mechanical Behavior of Mild Steel Wires Cold Drawn at TREFISOUD<i></i>

Cited by 4 publications

References 14 publications

Mechanical Properties and Texture Evolution of High-Carbon Steel Wires during Wire Drawing: Strand Manufacturing

Mechanical Properties and Texture Evolution of High-Carbon Steel Wires during Wire Drawing: Strand Manufacturing

Analysis of Wire Rolling Processes Using Convolutional Neural Networks

Wire Drawing Effect on Microstructural and Textural Evolution in Medium Carbon Steel Wires

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