The modeling and optimization of hot rolling process of A36 structural steel by using response surface methodology

In hot conditions and with various parameters, it has been found several cracks and wear in the hot rolling process due to several factors including von mises stress and plastic strain which is affected by the size of the roller diameter and thickness of the specimen. Modeling and optimization using Response Surface Methodology (RSM) are chosen in this study to determine the optimum parameter design. The effect of roller diameter and thickness of specimens on equivalent stress von mises and plastic strains on the hot rolling process were studied using RSM. Central Composite Design (CCD) with two factors and three levels which are part of the RSM used to present mathematical models. Based on the results of RSM the optimum value obtained is on the roller diameter of 577.1389 mm and the thickness of the specimen 8.5786 mm.

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Closure behavior of spherical void in slab during hot rolling process

Metallurgical Research & Technology ◽

10.1051/metal/2017095 ◽

2018 ◽

Vol 115 (3) ◽

pp. 301 ◽

Cited By ~ 3

Author(s):

Rong Cheng ◽

Jiongming Zhang ◽

Bo Wang

Keyword(s):

Plastic Strain ◽

Hot Rolling ◽

Rolling Direction ◽

Element Model ◽

Rolling Process ◽

Slab Thickness ◽

Hot Rolling Process ◽

Roller Diameter ◽

Width Direction ◽

The Relationship

The mechanical properties of steels are heavily deteriorated by voids. The influence of voids on the product quality should be eliminated through rolling processes. The study on the void closure during hot rolling processes is necessary. In present work, the closure behavior of voids at the center of a slab at 800 °C during hot rolling processes has been simulated with a 3D finite element model. The shape of the void and the plastic strain distribution of the slab are obtained by this model. The void decreases along the slab thickness direction and spreads along the rolling direction but hardly changes along the strip width direction. The relationship between closure behavior of voids and the plastic strain at the center of the slab is analyzed. The effects of rolling reduction, slab thickness and roller diameter on the closure behavior of voids are discussed. The larger reduction, thinner slab and larger roller diameter all improve the closure of voids during hot rolling processes. Experimental results of the closure behavior of a void in the slab during hot rolling process mostly agree with the simulation results..

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Study on Hot Rolling Process of Mg-Gd-Y-Nd-Zr Alloy Bar

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1004-1005.1289 ◽

2014 ◽

Vol 1004-1005 ◽

pp. 1289-1294

Author(s):

La Feng Guo ◽

Zhi Heng Li ◽

Pan Yu Chen ◽

Bao Cheng Li ◽

Zhi Min Zhang

Keyword(s):

Hot Rolling ◽

Equivalent Stress ◽

Rolling Process ◽

Pass System ◽

Hot Rolling Process ◽

Rolling Method ◽

3D Software ◽

Deform 3D ◽

Round Pass ◽

Zr Alloy

A hot rolling method to produce Mg-Gd-Y-Nd-Zr alloy bars through oval-vertical elliptical-round pass system is put forward. The mechanical model of Mg-Gd-Y-Nd-Zr alloy has been established. Using Deform-3D software, the rolling process of Mg-Gd-Y-Nd-Zr alloy bar is simulated at rolling temperature 450°C, rolling speed 0.4m/s. And equivalent stress distribution and load variation has been obtained. It provides a theoretical basis for the hot rolling bars of magnesium alloy. The experiment verifies that the hot rolling process is feasible. The organizational structure is analyzed with metallographic microscope, and the results show that dynamic recrystallization is occurred, the grain size is obviously refined, and the mechanical property of the material is improved in hot rolling process.

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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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Modeling and optimization of pectin extraction from banana peel using artificial neural networks (ANNs) and response surface methodology (RSM)

Journal of Food Measurement & Characterization ◽

10.1007/s11694-021-00852-7 ◽

2021 ◽

Author(s):

Ermias Girma Aklilu

Keyword(s):

Neural Networks ◽

Response Surface Methodology ◽

Artificial Neural Networks ◽

Response Surface ◽

Banana Peel ◽

Modeling And Optimization ◽

Artificial Neural

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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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