scholarly journals Computer‐Aided Physical Simulation of the Soft‐Reduction and Rolling Process

2017 ◽  
Author(s):  
Marcin Hojny
Keyword(s):  
Physical Simulation ◽  
Rolling Process ◽  
Soft Reduction ◽  
Computer Aided

Soft Reduction of a Cast Ingot on the Incomplete Crystallization Stage

2013 ◽  
Vol 762 ◽  
pp. 261-265 ◽  
Author(s):  
Tanya I. Cherkashina ◽  
Igor Mazur ◽  
Sergey A. Aksenov
Keyword(s):  
Metal Forming ◽  
Physical Simulation ◽  
Fluid Layer ◽  
Liquid Core ◽  
Soft Reduction ◽  
Deformation Processes ◽  
Novel Method ◽  
Full Scale Tests ◽  
Crystallization Stage

Numerical and physical simulation on model samples can provide data for various aspects of metal forming, without resorting to time-consuming and costly full-scale tests. This paper presents examples of modeling of the deformation of a slab with a liquid core. The use of soft reduction can enhance the homogeneity of the structure, which improves the quality of cast billets. Mathematical modeling is described here where the fluid layer is taken into account by the influence of boundary conditions in the crust in the form of ferrostatic pressure, which allows calculation of the intensity of deformation, total deformation and strain. It also provides a novel method for studying the process of soft reduction. It is based on a physical model of the slab consisting of a closed solid shell made of a calibrated lead shot and the Wood's alloy. To simulate the liquid molten metal, the interior of the shell is filled with gelatin. This approach can be applied to further studies on deformation processes and the penetration of deformation into complex metallic systems.

Physical Simulation of Grooved Axis Warm Surface Rolling

2011 ◽  
Vol 117-119 ◽  
pp. 1471-1474
Author(s):  
Xu Dong Zhou ◽  
Xiang Ru Liu
Keyword(s):  
Fatigue Life ◽  
Physical Simulation ◽  
Reference Value ◽  
Rolling Process ◽  
Warm Rolling ◽  
Rolling Reduction ◽  
Processing Parameter ◽  
Specimen Axis ◽  
Rolling Temperatures ◽  
Fatigue Life Test

The experimental design and implementation, as well as the fatigue life test of the steel C45 grooved axis warm surface rolling, have been carried out in this paper. The focus of the experiment is to study the effect of the different amount of rolling reduction and surface temperature on the fatigue life of the specimen axis.The experimental specific condition is at different temperature 20°C, 100°C, 200°C and 300°C with surface rolling reduction 0.03 mm, 0.06mm, 0.10mm, and 0.15mm respectively. The simulation results showed that the warm surface rolling process can significantly improve the fatigue life of the specimen axis; and there exist a corresponding optimum rolling reduction, in this case the fatigue life of the specimen axis achieves maximum, at different warm rolling temperatures. Finally the preferred processing parameter at 300°C with 0.15mm surface rolling reduction is obtained. This study has certain reference value for steel C45 the crankshaft undercut surface rolling.

The Physical Simulation of the Normalizing Rolling of the Steel Plate in Strength Category 350÷460MPa

2010 ◽  
Vol 638-642 ◽  
pp. 2604-2609 ◽  
Author(s):  
Marcin Knapiński ◽  
Bartosz Koczurkiewicz ◽  
Anna Kawałek ◽  
Henryk Dyja
Keyword(s):  
Physical Simulation ◽  
New Technology ◽  
Rolling Process ◽  
Strength Category ◽  
Plate Deformation ◽  
Additional Thermal Treatment ◽  
Steel Grades ◽  
Physical Simulations ◽  
Technology Of Production ◽  
Normalizing Annealing

The article presents the results of physical simulations of the process of rolling plates of steel in the strength category 350÷460MPa on the finishing stand of a reversing mill. The simulations were performed for three steel grades and final plate thicknesses 40mm. The purpose of the simulations was to select the conditions of plate deformation to obtain, directly after rolling, structure of material corresponding to the structure obtained from normalizing annealing. Thus, the simulations reflected the normalizing rolling process. The research carried out has allowed to elaborate the new technology of production of rolling plate without an additional thermal treatment like normalization. It allow to decrease a time and total cost of production for this sort of product.

Improvement of carbon segregation in cast bloom and heredity in hot-rolled bar

2021 ◽  
Vol 118 (6) ◽  
pp. 610
Author(s):  
Mengyun Zhang ◽  
Yanping Bao ◽  
Lihua Zhao ◽  
Xin Li
Keyword(s):  
Casting Speed ◽  
Reduction Process ◽  
Rolling Process ◽  
Solidification Structure ◽  
Soft Reduction ◽  
Carbon Segregation ◽  
The Core ◽  
Before And After ◽  
Core Areas ◽  
Hot Rolled

In this study, the effect of mechanical soft reduction on carbon segregation in the continuous casting of 300 × 400 mm 42CrMo alloy structural steel blooms was comparatively investigated by adjusting the casting speed, which was systematically optimized through numerical simulation. When the casting speed is 0.60 m · min−1, during the soft reduction process, the central solidification structure of the bloom becomes dense, and carbon segregation is improved. Moreover, the distribution of carbon in the samples before and after rolling was analyzed. Combined with the soft reduction process, the uniformity of carbon across the cross section of the bloom /bar distinctly improved for casting speeds of 0.50 m · min−1, 0.55 m · min−1 and 0.60 m · min−1, this was predominantly reflected in the core areas. The effective segregation length proportion of the bloom and rolled bar is approximately 40%. This phenomenon fully verifies the heredity characteristics of the elements in the rolling process.

Data exchange and software integration: Interdisciplinary design challenges

1998 ◽  
Vol 12 (1) ◽  
pp. 73-76 ◽  
Author(s):  
DAVE WILSON
Keyword(s):  
High Frequency ◽  
Computer Aided Design ◽  
Data Exchange ◽  
Physical Simulation ◽  
Circuit Simulation ◽  
Simulation Software ◽  
Circuit Parameter ◽  
3D Structures ◽  
Computer Aided ◽  
Signal Path

Hewlett-Packard develops and markets a family of computer-aided engineering products used by high-frequency designers to model the signal path in contemporary communications systems. As design frequencies, clock speeds and packaging densities continue to increase, more designers are finding that system and circuit simulation products need to be complemented by electromagnetic simulation software to develop models for basic circuit functionality or to characterize and compensate undesired parasitic effects. The HP High-Frequency Structure Simulator (HP HFSS) is a frequency-domain, finite element-based simulator, which enables engineers to characterize high-frequency behavior in 2D (transmission lines) and arbitrary 3D structures. Links with mechanical computer aided design (CAD) software have also become more important as the 3D structures to be analyzed by HP HFSS can involve packaging parasitics when the housing in which the electrical circuitry is enclosed becomes an influence on the signal path. Depending upon the complexity of the structure to be analyzed, HP HFSS can require hundreds of Mbytes of RAM and disk during automated adaptive solution convergence processes which determine field and circuit parameter solution results to user-specified accuracies. Although computer resource requirements will always be an important consideration for users of this type of product, another important situation to address for the future involves the exchange of data between the different simulation and modelling tools required to take design from concept through simulation to manufacture. The introduction of physical simulation tools into the traditional circuit simulation arena changes the design process flow and increases the demand for improved integration and interoperability of circuit simulators, numerical EM simulators, and mechanical CAD software. This paper provides an overview of data exchange issues in high-frequency electrical–physical–mechanical design processes.

Plain Carbon Strip Q235 Grain Growth in Reheating Progress

2012 ◽  
Vol 528 ◽  
pp. 172-175
Author(s):  
Chun Li Mo ◽  
Shou Peng Du ◽  
Xu Ming Guo ◽  
Lie Shan Cui
Keyword(s):  
Grain Size ◽  
Carbon Steel ◽  
Grain Growth ◽  
Hot Rolling ◽  
Physical Simulation ◽  
Rolling Process ◽  
Plain Carbon Steel ◽  
Kinetics Equation ◽  
Reheat Furnace ◽  
Hot Rolling Process

Before hot rolling the ingot of plain carbon steel Q235 should be heated to austenite temperature to decrease distortion resistance. The grain size will affect the following hot rolling process. In this paper, the behaviour of Q235 grain growth in reheat furnace was studied with the method of physical simulation. To achieve the equation of grain growth in heating progress, the samples was carried out in different peak temperature and holding time at the Gleeble1500. With the kinetics equation grain size can be calculated and the results provide a basis for the setting of progress parameter during reheating of ingot.

Physical Simulation of Thermo-Mechanical Processing of Ferritic-Bainitic Dual Phase (FBDP) Steel

2016 ◽  
Vol 879 ◽  
pp. 495-501 ◽  
Author(s):  
Taher El-Bitar ◽  
Eman El-Shenawy ◽  
Maha El-Meligy
Keyword(s):  
Strain Hardening ◽  
Physical Simulation ◽  
Volume Fraction ◽  
Rolling Process ◽  
Recrystallization Temperature ◽  
Air Cooling ◽  
Dual Phase ◽  
Mechanical Processing ◽  
Allotropic Transformation ◽  
Gleeble 3500

The present work is dealing with a physical simulation of thermo-mechanical processing of ferritic-bainitic dual phase (FBDP) steel alloy containing 0.1% C, 0.3% Si, 0.9% Mn and 0.7% Cr. The microstructure changes and allotropic transformations during thermo-mechanical simulation are investigated. A series of heating – cooling cycles to detect the critical and allotropic transformation temperature by dilatation were carried out on the thermo-mechanical simulator (Gleeble 3500). On the other hand, five – consecutive hits were used during the physical simulation of hot rolling process. Two hits were representing the roughening stage followed by three ones representing finish rolling. Holding at 500°C for 5, 7, 10, 12 and 15 min. after last hit has been applied and then followed by air cooling. Dilation curves appear that Ac1= 766 °C, while Ac3 was detected as 883 °C. Baintic allotropic transformation temperatures were clearly noticed as 618 °C for Bs and 542 °C for Bf. The recrystallization temperature was also detected as 1035 °C. Holding for 5-7 min. at 500 °C was concluded as the optimum for creation a bainite volume fraction. Rough hot deformation a higher temperature above the recrystallization temperature is essential, where no strain hardening and possibility for achieving high strains without excessive loads. Finishing deformation at temperature lower than Tr would create fine bainitic structure. The flow curve of the steel ensures continuous strain hardening. The strain hardening rate (σf/ε) was directly proportional to temperature difference from pass to pass.

Physical Simulation on the Position Detection of Final Solidifying End of Continuous Casting Slab

2011 ◽  
Vol 204-210 ◽  
pp. 1631-1635 ◽  
Author(s):  
Zhao Feng Wang ◽  
Xu Dong Wang ◽  
Fu Bin Liu ◽  
Guo Bin Li ◽  
Man Yao
Keyword(s):  
Continuous Casting ◽  
Physical Simulation ◽  
Similarity Theory ◽  
Mathematical Statistic ◽  
Line Detection ◽  
Soft Reduction ◽  
Position Detection ◽  
Continuous Casting Slab ◽  
On Line

In production process of continuous casting slab in ferrous metallurgy, in order to realize soft reduction and obtain continuous casting slabs without internal defects, it is important to determine the location of final solidifying end of slabs exactly. In this paper, a set of physical simulation device which simulates detecting the final solidifying end was designed according to similarity theory. Through experimental study and mathematical statistic method, we analyzed the influence of each factor on the detected results. The research results may provide certain guidance for the on-line detection final solidifying end in situ.

Computer-aided simulation of the AMg6 alloy rolling process with allowance for its anisotropy

2008 ◽  
Vol 51 (4) ◽  
pp. 457-460
Author(s):  
S. V. Voronin ◽  
V. D. Yushin ◽  
G. Z. Bunova
Keyword(s):  
Rolling Process ◽  
Amg6 Alloy ◽  
Computer Aided
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