Kinetics of phosphorus segregation at grain boundaries of low-alloy low-carbon steel

2014 ◽  
Vol 115 (2) ◽  
pp. 146-156 ◽  
Author(s):  
B. S. Bokshtein ◽  
A. N. Khodan ◽  
O. O. Zabusov ◽  
D. A. Mal’tsev ◽  
B. A. Gurovich
Keyword(s):  
Carbon Steel ◽  
Grain Boundaries ◽  
Low Carbon Steel ◽  
Low Carbon ◽  
Phosphorus Segregation ◽  
Kinetics Of

Kinetics of microdamage accumulation in low-carbon steel in the initial state and after ECAP

2020 ◽  
Author(s):  
I. O. Sinev ◽  
E. N. Beletsky ◽  
M. R. Tyutin ◽  
L. R. Botvina ◽  
O. V. Rybalchenko ◽  
...  
Keyword(s):  
Carbon Steel ◽  
Low Carbon Steel ◽  
Low Carbon ◽  
Initial State ◽  
Microdamage Accumulation ◽  
Kinetics Of

The Effect of Severe Plastic Deformation on the Brittle-Ductile Transition in Low Carbon Steel

2009 ◽  
Vol 633-634 ◽  
pp. 471-480
Author(s):  
Masaki Tanaka ◽  
Kenji Higashida ◽  
Tomotsugu Shimokawa
Keyword(s):  
Fracture Toughness ◽  
Carbon Steel ◽  
Grain Boundaries ◽  
Three Dimensional ◽  
Low Carbon Steel ◽  
Dislocation Dynamics ◽  
Strain Rates ◽  
Low Carbon ◽  
Dislocation Source ◽  
Brittle Ductile Transition

Brittle-ductile transition (BDT) behaviour was investigated in low carbon steel deformed by an accumulative roll-bonding (ARB) process. The temperature dependence of its fracture toughness was measured by conducting four-point bending tests at various temperatures and strain rates. The fracture toughness increased while the BDT temperature decreased in the specimens deformed by the ARB process. Arrhenius plots between the BDT temperatures and the strain rates indicated that the activation energy for the controlling process of the BDT was not changed by the deformation with the ARB process. It was deduced that the decrease in the BDT temperature by grain refining was not due to the increase in the dislocation mobility controlled by short-range barriers. Quasi-three-dimensional simulations of dislocation dynamics, taking into account of crack tip shielding due to dislocations, were performed to investigate the effect of a dislocation source spacing along a crack front on the BDT. The simulation indicated that the BDT temperature is decreased with decreasing in the dislocation source spacing. Molecular dynamics simulations revealed that moving dislocations were impinged against grain boundaries and were reemitted from there with increasing strain. It indicates that grain boundaries can be new sources in ultra-fine grained materials, which increases toughness at low temperatures.

scholarly journals Microstructural evolution, recovery and recrystallization kinetics of isothermally annealed ultra low carbon steel

2020 ◽  
Vol 7 (1) ◽  
pp. 016554
Author(s):  
Siuli Dutta ◽  
Ashis K Panda ◽  
Amitava Mitra ◽  
Subrata Chatterjee ◽  
Rajat K Roy
Keyword(s):  
Carbon Steel ◽  
Microstructural Evolution ◽  
Low Carbon Steel ◽  
Low Carbon ◽  
Recrystallization Kinetics ◽  
Ultra Low Carbon Steel ◽  
Kinetics Of

Morphology of Oxide Scale and Oxidation Kinetics of Low Carbon Steel

2014 ◽  
Vol 21 (3) ◽  
pp. 335-341 ◽  
Author(s):  
Guang-ming Cao ◽  
Xiao-jiang Liu ◽  
Bin Sun ◽  
Zhen-yu Liu
Keyword(s):  
Carbon Steel ◽  
Oxide Scale ◽  
Oxidation Kinetics ◽  
Low Carbon Steel ◽  
Low Carbon ◽  
Kinetics Of

Characterization of Kinetics of Deformation-Enhanced Transformation in a Low Carbon Steel

2005 ◽  
Vol 475-479 ◽  
pp. 73-76
Author(s):  
Jun Jie Qi ◽  
Wang Yue Yang ◽  
Zu Qing Sun ◽  
X. Zhang
Keyword(s):  
Carbon Steel ◽  
Low Carbon Steel ◽  
Microstructural Development ◽  
Low Carbon ◽  
Transformation Kinetics ◽  
Nucleation Sites ◽  
Ferrite Nucleation ◽  
Kinetics Of ◽  
Kinetics Parameter

Quantitative characterization of microstructural development during deformation enhanced transformation in a low carbon steel was investigated on a Gleeble 1500 machine. General conclusions of the features of austenite transformation kinetics during deformation-enhanced transformation were formulated. It was shown that the process of deformation-enhanced transformation can be divided into three stages according to the characteristics of transformation kinetics: The kinetics equations of two early stages fitted well in J-M-A equation. The kinetics of the first stage obeys Cahn’s site saturation mechanism, with the value of kinetics parameter n of 4. Ferrite nucleates at austenite grain boundaries and triple points during the first stage. Kinetics of the second stage doesn’t obey Cahn’s theory, with the value of kinetics parameter n of 1-1.5, corresponding to ferrite nucleation repeatedly at areas with high stored energy in front of the ferrite/austenite interface. The kinetics doesn’t obey the law of J-M-A equation any more in the final stage, and only few nucleation sites left at this moment.

Modeling austenite–ferrite transformation in low carbon steel using the cellular automaton method

2004 ◽  
Vol 19 (10) ◽  
pp. 2877-2886 ◽  
Author(s):  
Y.J. Lan ◽  
D.Z. Li ◽  
Y.Y. Li
Keyword(s):  
Carbon Steel ◽  
Cellular Automaton ◽  
Grain Boundaries ◽  
Grain Growth ◽  
Low Carbon Steel ◽  
Carbon Diffusion ◽  
Cellular Automaton Model ◽  
Low Carbon ◽  
Austenite Grain ◽  
Ferrite Transformation

Austenite–ferrite transformation at different isothermal temperatures in low carbon steel was investigated by a two-dimensional cellular automaton approach, which provides a simple solution for the difficult moving boundary problem that governs the ferrite grain growth. In this paper, a classical model for ferrite nucleation at austenite grain boundaries is adopted, and the kinetics of ferrite grain growth is numerically resolved by coupling carbon diffusion process in austenite and austenite–ferrite (γ–α) interface dynamics. The simulated morphology of ferrite grains shows that the γ–α interface is stable. In this cellular automaton model, the γ–α interface mobility and carbon diffusion rate at austenite grain boundaries are assumed to be higher than those in austenite grain interiors. This has influence on the morphology of ferrite grains. Finally, the modeled ferrite transformation kinetics at different isothermal temperatures is compared with the experiments in the literature and the grid size effects of simulated results are investigated by changing the cell length of cellular automaton model in a set of calculations.

Sign in / Sign up

Export Citation Format

Share Document