scholarly journals Developments towards a Multiscale Meshless Rolling Simulation System

Materials ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4277
Author(s):  
Umut Hanoglu ◽  
Božidar Šarler
Keyword(s):  
Grain Size ◽  
Rolling Mill ◽  
Prediction Models ◽  
Rolling Process ◽  
Simulation System ◽  
Computer Application ◽  
Computational Time ◽  
Continuous Rolling ◽  
Austenite Grain Size ◽  
Macro Scale

The purpose of the present paper is to predict the grain size of steel during the hot-rolling process. The basis represents a macroscopic simulation system that can cope with temperatures, stresses and strains of steel in a complete continuous rolling mill, including reversible pre-rolling and finishing rolling with several tenths of rolling passes. The grain size models, newly introduced in the present paper, are one-way coupled to the macro-scale calculations performed with the slice model assumption. Macroscale solution is based on a novel radial basis function collocation method. This numerical method is truly meshless by involving the space discretization in arbitrarily distributed nodes without meshing. A new efficient node generation algorithm is implemented in the present paper and demonstrated for irregular domains of the slice as they appear in different rolling passes. Multiple grain size prediction models are considered. Grain size prediction models are based on empirical relations. Austenite grain size at each rolling pass as well as the ferrite grain size at the end of rolling are predicted in this simulation. It is also shown that based on the rolling schedule, it is highly likely that recrystallization takes place at each pass throughout a continuous rolling mill. The simulation system is coded as a user-friendly computer application for industrial use based on programing language C# and an open source developer platform .NET and runs on regular personal computers The computational time for a typical rolling simulation is usually less than one hour and can thus be straightforwardly used to optimize the rolling mill design in a reasonable time.

Development and Industrial Applying on Rolling Mill 5000 of the Model of Austenite Grain Size Evolution in Nb-Microalloyed Steels

2016 ◽  
Vol 879 ◽  
pp. 312-317
Author(s):  
A.V. Chastukhin ◽  
D.A. Ringinen ◽  
S.V. Golovin ◽  
L.I. Efron
Keyword(s):  
Grain Size ◽  
Rolling Mill ◽  
Microalloyed Steels ◽  
Compression Tests ◽  
Austenite Grain Size ◽  
Soaking Time ◽  
Austenite Grain ◽  
Size Evolution ◽  
South Stream ◽  
Rolled Plates

In this research evolution of austenite grain size in Nb-microalloyed steels X65÷X120 grades during slab reheating and roughing rolling was studied. A mathematical model has been development to obtain the target temperature and soaking time in furnace, which ensure a uniform austenite structure and maximum possible dissolution of the carbonitride particles prior to roughing rolling. The Hot Rolling Recrystallization Model (HRRM) has also development to predict the austenite microstructure evolution during roughing rolling. The model is based on empirical equations and organized following a tree-structure. A validation of the model has been carried out in the laboratory by multipass compression tests. The models jointly have been used to create new strategies of processing technology of rolled plates on rolling mill 5000 for the South Stream pipeline. The industrial application has confirmed a great benefit of the models in point of cold resistance of rolled plates.

Multiscale Model of Shape Rolling Taking into Account the Microstructure Evolution – Frontal Cellular Automata

2014 ◽  
Vol 998-999 ◽  
pp. 545-548 ◽  
Author(s):  
Łukasz Łach ◽  
Dmytro Svyetlichnyy
Keyword(s):  
Grain Size ◽  
Cellular Automata ◽  
Microstructure Evolution ◽  
Multiscale Model ◽  
Rolling Process ◽  
Shape Rolling ◽  
Technological Processes ◽  
Average Grain Size ◽  
Macro Scale ◽  
Time Changes

Properties of traditional materials including steels can be improved by using the prediction and control of microstructure evolution in technological processes. Models of microstructure evolution, which take into account the technological conditions, allow to optimize the process in view of final product properties. A multiscale model of microstructure evolution have been developed and adopted for simulation of the shape rolling process. The model contains module based on finite element method (FEM) for simulation of technological processes and cellular automata (CA) module for simulation of microstructure evolution. Design and selection of grooves and simulations of rolling process in macro scale are realized by FEM. The modeling results obtained by FEM are transferred to CA and used as input data. The results of simulations of microstructure evolution can be presented as snapshots of microstructure at arbitrary time, changes of average grain size, a grain size distribution, recrystallization fraction and flow stress during the process. The results of microstructure evolution obtained by FCA for 5mm round bars rolled in diamond and oval grooves are presented in the paper.

scholarly journals The Role of Elements Partition and Austenite Grain Size in the Ferrite-Bainite Banding Formation during Hot Rolling

Materials ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2356
Author(s):  
Yina Zhao ◽  
Yinli Chen ◽  
He Wei ◽  
Jiquan Sun ◽  
Wei Yu
Keyword(s):  
Grain Size ◽  
Hot Rolling ◽  
Heating Temperature ◽  
Rolling Process ◽  
Heating Time ◽  
Cast Slab ◽  
Austenite Grain Size ◽  
Hot Rolling Process ◽  
Austenite Grain ◽  
And Diffusion

The partitioning and diffusion of solute elements in hot rolling and the effect of the partitioning and diffusion on the ferrite-bainite banding formation after hot rolling in the 20CrMnTi steel were experimentally examined by EPMA (electron probe microanalysis) technology and simulated by DICTRTA and MATLAB software. The austenite grain size related to the hot rolling process and the effect of austenite grain size on the ferrite-bainite banding formation were studied. The results show that experimental steel without banding has the most uniform hardness distribution, which is taken from the edge of the cast slab and 1/4 diameter position of the cast slab, heating at 1100 °C for 2 h and above 1200 °C for 2–4 h during the hot rolling, respectively. Cr, Mn, and Si diffuse and inhomogeneously concentrate in austenite during hot rolling, while C homogeneously concentrates in austenite. After the same hot rolling process, ΔAe3 increases and ferrite-bainite banding intensifies with increasing initial segregation width and segregation coefficient K of solute elements. Under the same initial segregation of solute elements, ΔAe3 drops and ferrite-bainite banding reduces with increasing heating temperature and extension heating time. When ΔAe3 drops below 14 °C, ferrite-bainite banding even disappears. What is more, the austenite grain size increases with increasing heating temperature and extension heating time. When the austenite grain size is above 21 μm, the experimental steel will not appear to have a banded structure after hot rolling.

scholarly journals PRECIPITATION SIMULATION AND X-RAY ABSORPTION SPECTROSCOPY FOR HOT ROLLED V-HSLA STEEL

2016 ◽  
Vol 22 (4) ◽  
pp. 249
Author(s):  
Piyada Suwanpinij ◽  
Hans Henning Dickert ◽  
Prasonk Sricharoenchai
Keyword(s):  
Grain Size ◽  
Absorption Spectroscopy ◽  
Hsla Steel ◽  
Rolling Process ◽  
Diffuse Interface ◽  
Slow Cooling ◽  
Austenite Grain Size ◽  
X Ray ◽  
Significant Difference ◽  
X Ray Absorption

<p class="AMSmaintext">Aiming to the process optimisation while reducing or avoiding experimental work, the work has been carried out by a physically-based thermokinetic model proven by synchrotron X-ray absorption spectroscopy. The mole fraction and size distribution of different precipitate species as well as the consumption of the dissolved elements are of the main interest. The model considers the involved parameters in the hot rolling process, i.e., austenite grain size, disloca-tion density as a function of deformation, and thermal history during the process. One main advantage is that it needs no adjustable fitting values. Both grain boundary and dislocation are nucleation sites. The diffuse interface effect on the interfacial energy as well as a volumetric misfit of AlN at dislocations is also taken into account. The latter is because of its significant difference in the lattice parameter from the matrix. The X-Ray absorption spectroscopy (XAS) taken advantage from the synchrotron technology has been employed for the quantification of the precipitation of vanadium as well as its fraction in the solid solution. The application of XAS is highlighted as it is superior to other conventional method and illuminates relatively large volume. With very good agreement, V(C,N) precipitates significantly due to high dislocation and is not overridden by the competing AlN. Slow cooling rate facilitates its precipitation significantly. These findings are crucial for the calculation of precipitation hardening, which must be evaluated with other strengthening mechanisms from the microstructure such as grain size, hard phase to discuss about the resulting mechanical properties.</p>

scholarly journals Analysis of the Rolling Process of Alloy 6005 in a Three-High Skew Rolling Mill

Materials ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1114 ◽  
Author(s):  
Teresa Bajor ◽  
Anna Kulakowska ◽  
Henryk Dyja
Keyword(s):  
Aluminum Alloy ◽  
Process Simulation ◽  
Rolling Mill ◽  
Strain State ◽  
Rolling Process ◽  
Simulation System ◽  
Metallurgical Process ◽  
Compression Tests ◽  
Skew Rolling ◽  
Numerical Examination

This paper presents the results of numerical modelling of the rolling process of aluminum alloy bars in a three-high skew mill. The purpose of the examination was to determine the optimal rolling temperature for this alloy. The numerical examination for aluminum alloy 6005 (AlZn5.5MgCu) was performed using the Forge3®-2D Plane strain state commercial software. The rheological properties of the examined alloy were determined from uniaxial compression tests done using the metallurgical process simulation system Gleeble 3800. The numerical analysis of the process of rolling 6005 alloy bars in a three-high skew mill was conducted within the temperature range of 150–350 °C and at a deformation of 0.29.

3-D Simulation of H-Beam Multi-Pass Hot Rolling and Microstructure Evolution

2012 ◽  
Vol 268-270 ◽  
pp. 297-300
Author(s):  
Qing Qiang He ◽  
Jia Sun ◽  
Jun You Zhao ◽  
Li Jian Xu ◽  
Cui Cui Li
Keyword(s):  
Grain Size ◽  
Microstructure Evolution ◽  
Hot Rolling ◽  
Evolution Equations ◽  
Three Dimensional ◽  
Fem Simulation ◽  
Rolling Process ◽  
Austenite Grain Size ◽  
Average Value ◽  
H Beam

In hot metal forming processes, the material is subjected to the thermo-mechanical processing. A fully three dimensional thermo-mechanically coupled FEM-simulation of an eleven pass hot rough rolling process of H-beam has been performed. Microstructure evolution equations available in literatures were incorporated into the commercial FE solver ABAQUS/Explicit, through user defined subroutine VUMAT, to simulate the microstructure evolution. Since it’s impractical to obtain the austenite grain size distribution in the beam blank during industrial hot rolling, the calculated rolling loads are compared with the mills loads instead of grain size comparison between the predicted average value and the real ones.

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