Shaping Microstructure and Mechanical Properties of High-Carbon Bainitic Steel in Hot-Rolling and Long-Term Low-Temperature Annealing

Based on the research results, coefficients in constitutive equations, describing the kinetics of dynamic, meta-dynamic, and static recrystallization in high-carbon bainitic steel during hot deformation were determined. The developed mathematical model takes into account the dependence of the changing kinetics in the structural size of the preliminary austenite grains, the value of strain, strain rate, temperature, and time. Physical simulations were carried out on rectangular specimens. Compression tests with a flat state of deformation were carried out using a Gleeble 3800. Based on dilatometric studies, coefficients were determined in constitutive equations, describing the grain growth of the austenite of high-carbon bainite steel under isothermal annealing conditions. The aim of the research was to verify the developed mathematical models in semi-industrial conditions during the hot-rolling process of high-carbon bainite steel. Analysis of the semi-industrial studies of the hot-rolling and long-term annealing process confirmed the correctness of the predicted mathematical models describing the microstructure evolution.

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Experimental and Numerical Investigation of Texture Development during Hot Rolling of Magnesium Alloy AZ31

Materials Science Forum ◽

10.4028/www.scientific.net/msf.539-543.3448 ◽

2007 ◽

Vol 539-543 ◽

pp. 3448-3453 ◽

Cited By ~ 5

Author(s):

C. Schmidt ◽

Rudolf Kawalla ◽

Tom Walde ◽

Hermann Riedel ◽

A. Prakash ◽

...

Keyword(s):

Magnesium Alloy ◽

Hot Rolling ◽

Rolling Texture ◽

Rolling Process ◽

Model Parameters ◽

Compression Tests ◽

Basal Texture ◽

Alloy Az31 ◽

Magnesium Alloy Az31 ◽

Softening Behavior

Due to the deformation mechanisms and the typical basal texture rolled magnesium sheets show a significant asymmetry of flow stress in tension and compression. In order to avoid this undesired behavior it is necessary to achieve non-basal texture during rolling, or at least, to reduce the intensity of the basal texture component. The reduction of the anisotropy caused by the basal texture is very important for subsequent forming processes. This project aims at optimizing the hot rolling process with special consideration of texture effects. The development of the model is carried out in close cooperation with the experimental work on magnesium alloy AZ31 .The experimental results are required for the determination of model parameters and for the verification of the model. Deformation-induced texture is described by the visco-plastic self-consistent (VPSC) model of Lebensohn and Tomé. The combination of deformation and recrystallization texture models is applied to hot compression tests on AZ31, and it is found, that the model describes the observed texture and hardening/softening behavior well. In some cases rotation recrystallization occurs in AZ31 which appears to be a possibility to reduce the undesired basal rolling texture.

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Carbide Fragmentation and Dissolution in a High-Carbon High-Chromium Steel Using Hot Rolling Process: Microstructure Evolution, Wear, High-Temperature Oxidation, and Chloride-Induced Corrosion Properties

CORROSION ◽

10.5006/2749 ◽

2018 ◽

Vol 74 (9) ◽

pp. 958-970 ◽

Cited By ~ 2

Author(s):

Majid Shahsanaei ◽

Sadegh Pour-Ali ◽

Ali-Reza Kiani-Rashid ◽

Sannakaisa Virtanen

Keyword(s):

High Temperature ◽

Corrosion Behavior ◽

Hot Rolling ◽

High Temperature Oxidation ◽

Rolling Process ◽

High Carbon ◽

Corrosion Properties ◽

Temperature Oxidation ◽

High Chromium ◽

Hot Rolling Process

A series of hot rolling processes with different reduction percentages (10%, 30%, and 50%) were applied to a high-carbon high-chromium tool steel (2HCTS). Microstructural evolutions, wear behavior, high-temperature oxidation, and aqueous corrosion properties were investigated. The results revealed the breakage and dissolution of primary carbides and a uniform carbide distribution after the hot rolling process. It was proposed that the presence of higher amounts of dissolved chromium in the hot rolled samples leads to the formation of Cr-rich oxides with more protection and less porosity at high temperatures, as well as an improved corrosion behavior in 3.5 wt% NaCl solution. This improvement in the corrosion behavior is not at the expense of the degradation of wear resistance. Probable mechanisms for carbides dissolution are also discussed.

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Research on Aluminum Plate Reversible Hot-Rolling Mathematical Model and Schedule

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.157-158.719 ◽

2012 ◽

Vol 157-158 ◽

pp. 719-726

Author(s):

Hai Xiong Wang ◽

Ji Bin Li ◽

Hai Jun Liu ◽

Chang Sheng Wang

Keyword(s):

Mathematical Models ◽

Hot Rolling ◽

Rolling Process ◽

Production Quality ◽

Aluminum Plate ◽

Test Results ◽

Rolling Schedule ◽

Schedule Optimization ◽

Plate Rolling ◽

Rolling Production

In order to carry out automatic transformation to the two-roll reversible hot-rolling mill of a aluminum plate production factory, firstly a series of mathematical models of aluminum plate hot-rolling parameters are established, then a new optimization algorithm which is suitable for aluminum plate rolling production combined with the various constraints in the rolling process is proposed, and rolling schedule optimization software system is developed. Finally, by measuring the process parameters in rolling production site and applying the optimized rolling schedule to the rolling production, many test data are obtained. The analysis of test results and evaluation of the practical production show that the mathematical models established have high accuracy compared with the old rolling schedule. The optimization schedule can not only ensure the production quality, but also has higher efficiency and less energy consumption.

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Effet de la Température sur la Microstructure des Couches d’Oxydes Formées sur l’Acier Extra dur Durant le Processus de Laminage à Chaud = Effect of Temperature on the Microstructure of the Oxide Layers Formed on the High Carbon Steel during Hot Rolling Process

Synthèse Revue des Sciences et de la Technologie ◽

10.12816/0027864 ◽

2015 ◽

pp. 101-107

Author(s):

Gérard Moulin ◽

Jérôme Favergeon ◽

Amine Makni

Keyword(s):

Carbon Steel ◽

Hot Rolling ◽

High Carbon Steel ◽

Rolling Process ◽

Effect Of Temperature ◽

High Carbon ◽

Oxide Layers ◽

Hot Rolling Process

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Modeling of Microstructural Evolution in the Hot Rolling Process of Fe-16Cr-4Mn-4Ni-0.05C-0.17N Austenitic Stainless Steel

Materials Science Forum ◽

10.4028/www.scientific.net/msf.949.93 ◽

2019 ◽

Vol 949 ◽

pp. 93-100

Author(s):

Murodjon Turdimatov ◽

Alexander Nam ◽

Rudolf Kawalla ◽

Ulrich Prahl

Keyword(s):

Numerical Simulation ◽

Stainless Steel ◽

Austenitic Stainless Steel ◽

Microstructural Evolution ◽

Hot Rolling ◽

Kinetic Equations ◽

Rolling Process ◽

Compression Tests ◽

Hot Rolling Process ◽

Kinetics Of

The understanding of the softening behaviour during the hot rolling process is required to optimize the hot rolling schedule. Therefore, the microstructural evolution in the hot rolling of austenitic stainless steel was simulated. In this work, kinetics of grain growth was investigated by means of compression tests using the Gleeble HDS V40 and described by appropriate kinetic equations based on the obtained experimental results. Moreover, numerical simulation was performed using the Simufact.forming software. The results of the numerical simulation were further validated by experimental data, which were obtained from the labour continuous hot rolling of the austenitic stainless steel.

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Hot Rolling Process Simulation: Application to UIC-60 Rail Rolling

Recent Patents on Mechanical Engineering ◽

10.2174/1874477x11003010065 ◽

2010 ◽

Vol 3 (1) ◽

pp. 65-71

Author(s):

Armindo Guerrero ◽

Javier Belzunce ◽

Covadonga Betegon ◽

Julio Jorge ◽

Francisco J. Vigil

Keyword(s):

Hot Rolling ◽

Process Simulation ◽

Rolling Process ◽

Hot Rolling Process

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3D-FEM Simulation of Hot Rolling Process and Characterization of the Resultant Microstructure of a Light-Weight Mn Steel

Crystals ◽

10.3390/cryst11050569 ◽

2021 ◽

Vol 11 (5) ◽

pp. 569

Author(s):

Ana Claudia González-Castillo ◽

José de Jesús Cruz-Rivera ◽

Mitsuo Osvaldo Ramos-Azpeitia ◽

Pedro Garnica-González ◽

Carlos Gamaliel Garay-Reyes ◽

...

Keyword(s):

Hot Rolling ◽

Thermomechanical Processing ◽

Computational Simulation ◽

Effective Strain ◽

Fem Simulation ◽

Rolling Process ◽

3D Fem ◽

Hot Rolling Process ◽

Mn Steel

Computational simulation has become more important in the design of thermomechanical processing since it allows the optimization of associated parameters such as temperature, stresses, strains and phase transformations. This work presents the results of the three-dimensional Finite Element Method (FEM) simulation of the hot rolling process of a medium Mn steel using DEFORM-3D software. Temperature and effective strain distribution in the surface and center of the sheet were analyzed for different rolling passes; also the change in damage factor was evaluated. According to the hot rolling simulation results, experimental hot rolling parameters were established in order to obtain the desired microstructure avoiding the presence of ferrite precipitation during the process. The microstructural characterization of the hot rolled steel was carried out using optical microscopy (OM), scanning electron microscopy (SEM) and X-ray diffraction (XRD). It was found that the phases present in the steel after hot rolling are austenite and α′-martensite. Additionally, to understand the mechanical behavior, tensile tests were performed and concluded that this new steel can be catalogued in the third automotive generation.

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Intelligent methods for root cause analysis behind the center line deviation of the steel strip

Open Engineering ◽

10.1515/eng-2020-0041 ◽

2020 ◽

Vol 10 (1) ◽

pp. 386-393

Author(s):

Henna Tiensuu ◽

Satu Tamminen ◽

Olli Haapala ◽

Juha Röning

Keyword(s):

Hot Rolling ◽

Steel Strip ◽

Decision Support Tool ◽

Rolling Process ◽

Statistical Prediction ◽

Center Line ◽

Quality Model ◽

Critical Feature ◽

Support Tool ◽

Shape Errors

AbstractThis article presents a statistical prediction model-based intelligent decision support tool for center line deviation monitoring. Data mining methods enable the data driven manufacturing. They also help to understand the manufacturing process and to test different hypotheses. In this study, the original assumption was that the shape of the strip during the hot rolling has a strong effect on the behaviour of the steel strip in Rolling, Annealing and Pickling line (RAP). Our goal is to provide information that enables to react well in advance to strips with challenging shape. In this article, we show that the most critical shape errors arising in hot rolling process will be transferred to critical errors in RAP-line process as well. In addition, our results reveal that the most critical feature characterizes the deviation better than the currently used criterion for rework. The developed model enables the user to understand better the quality of the products, how the process works, and how the quality model predicts and performs.

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