MC simulation of desorption–recombination reaction and grain growth of nano-structured disproportionated NdFeB alloy

2013 ◽  
Vol 67 ◽  
pp. 417-423 ◽  
Author(s):  
Xiaoya Liu ◽  
Lianxi Hu
Keyword(s):  
Grain Growth ◽  
Recombination Reaction ◽  
Mc Simulation

Monte-Carlo Simulation of Goss Abnormal Grain Growth in Fe-3%Si Steel by Sub-Boundary Enhanced Solid-State Wetting

2012 ◽  
Vol 715-716 ◽  
pp. 146-151
Author(s):  
K.J. Ko ◽  
A.D. Rollett ◽  
N.M. Hwang
Keyword(s):  
Monte Carlo ◽  
Solid State ◽  
Grain Boundary ◽  
Grain Growth ◽  
Boundary Energy ◽  
Three Dimensional ◽  
Abnormal Grain Growth ◽  
Grain Boundary Energy ◽  
Simulation Based ◽  
Mc Simulation

The selective abnormal grain growth (AGG) of Goss grains in Fe-3%Si steel was investigated using a parallel Monte-Carlo (MC) simulation based on the new concept of sub-boundary enhanced solid-state wetting. Goss grains with low angle sub-boundaries will induce solid-state wetting against matrix grains with a moderate variation in grain boundary energy. Three-dimensional MC simulations of microstructure evolution with textures and grain boundary distributions matched to experimental data is using in this study.

Monte-Carlo Modeling of Grain Growth of Plain Carbon Strip Steel Q235 during Heating Process

2012 ◽  
Vol 538-541 ◽  
pp. 869-872 ◽  
Author(s):  
Hong Yan Ma ◽  
Chun Li Mo ◽  
Shou Peng Du
Keyword(s):  
Monte Carlo ◽  
Grain Growth ◽  
Growth Kinetics ◽  
Heating Process ◽  
Kinetics Equation ◽  
Grain Distribution ◽  
Simulation Results ◽  
Mc Simulation ◽  
Grain Growth Kinetics ◽  
Reheating Process

The grain growth kinetics of Q235 during reheating process was studied with Monte Carlo (MC) simulation. Heating process was performed at 1223K, 1273K, 1323K, 1373K, 1473K and 1523K for 10s, 20s, 40s, 80s, 120s, respectively. Samples were tested on Gleeble 1500 thermal simulation tester. The experimental results were analyzed regressively to obtain grain growth kinetics equation. The kinetics equation of Q235 was introduced to MC simulation to simulate the microstructure evolution and compute the average grain size at different step during heating process. MC simulation results showed the grain distribution under different time and the grain growth is in consistent with physical simulation. The simulation results also can help to set processing parameters during reheating of ingot.

New Understanding of Abnormal Grain Growth Approached by Solid-State Wetting along Grain Boundary or Triple Junction

2004 ◽  
Vol 467-470 ◽  
pp. 745-750 ◽  
Author(s):  
Nong Moon Hwang
Keyword(s):  
Solid State ◽  
Grain Boundary ◽  
Grain Growth ◽  
Triple Junction ◽  
Boundary Energy ◽  
Growth Front ◽  
Abnormal Grain Growth ◽  
Boundary Mobility ◽  
Grain Boundary Mobility ◽  
Mc Simulation

Although it has been generally believed that the advantage of the grain boundary mobility induces abnormal grain growth (AGG), it is suggested that the advantage of the low grain boundary energy, which favors the growth by solid-state wetting, induces AGG. Analyses based on Monte Carlo (MC) simulation show that the approach by solid-state wetting could explain AGG much better than that by grain boundary mobility. AGG by solid-state wetting is supported not only by MC simulations but also by the experimental observation of microstructure evolution near or at the growth front of abnormally growing grain. The microstructure shows island grains and solid-state wetting along grain boundary and triple junction.

Three Dimensional Monte Carlo Simulation of Grain Growth in HAZ of Stainless Steel SUS316

2007 ◽  
Vol 353-358 ◽  
pp. 1923-1926 ◽  
Author(s):  
Yan Hong Wei ◽  
Yan Li Xu ◽  
Zhi Bo Dong ◽  
Ji Lin Xiao
Keyword(s):  
Stainless Steel ◽  
Monte Carlo ◽  
Grain Growth ◽  
Arc Welding ◽  
Three Dimensional ◽  
Gas Tungsten Arc ◽  
Pinning Effect ◽  
Gtaw Process ◽  
Mc Simulation ◽  
Growth Evolution

The stainless steel SUS316 grain growth process in heat affected zone (HAZ) of gas tungsten arc welding (GTAW) process is studied with Monte Carlo (MC) simulation. The heat transfer and fluid flow model provides the thermal history and thermal distribution of the weldments for MC grain growth simulation. The grain growth evolution is simulated both in isothermal and in HAZ environment. The simulating results show clearly the “thermal pinning” effect on the grain growth evolution in HAZ compared with the isothermal results.

Simulation of Microstructure and Grain Size in Welding Heat Affected Zone Using Monte Carlo Method

2011 ◽  
Vol 194-196 ◽  
pp. 121-126
Author(s):  
Shi Xing Zhang ◽  
Gang Yi Cai
Keyword(s):  
Grain Size ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Kinetic Model ◽  
Grain Growth ◽  
Growth Process ◽  
Great Influence ◽  
Simulation Results ◽  
Mc Simulation ◽  
Good Agreement

In this paper, modeling, procedure and algorithm using Monte Carlo (MC) technology were investigated respectively to simulate grain size and microstructure . First, two different kinetic model were defined by both experimental and statistics method. Then the procedure and algorithm were worked out based on MC technology. Thirdly, the grain growth process in HAZ was simulated, which has great influence on grain growth in HAZ. The result of the simulation demonstrates the grain growth process dynamically. Good agreement between MC simulation results and the experimental results was obtained which can provide a reliable evidence for evaluating the welding craft and the weldability.

A Study of the Microstructure and Grain Size at the Welding Heat Affected Zone of an Industrial Pure Aluminum

2010 ◽  
Vol 97-101 ◽  
pp. 3247-3251
Author(s):  
Shi Xing Zhang ◽  
Gang Yi Cai
Keyword(s):  
Grain Growth ◽  
Heat Affected Zone ◽  
Thermal Cycle ◽  
Growth Process ◽  
Pure Aluminum ◽  
Great Influence ◽  
Simulation Experiments ◽  
Simulation Results ◽  
Mc Simulation ◽  
Good Agreement

In this paper, Monte Carlo (MC) technology with welding experiments and thermal simulation experiments were introduced to simulate the grain growth process in welding heat affected zone(HAZ) of 1060 industrial pure aluminum. First, a kinetic model was defined by both experimental and statistics method. Then the thermal cycle was calculated and at the same time the simulation program was worked out based on MC technology. Thirdly, the grain growth process in HAZ was simulated during different welding heat input, which has great influence on grain growth in HAZ. The result of the simulation demonstrates the grain growth process dynamically and embodies the “thermal pin effect”. Good agreement between MC simulation results and the experimental results was obtained which can provide a reliable evidence for evaluating the welding craft and the weldability.

Grain Refinement in Titanium-Erbium Alloys

1974 ◽  
Vol 32 ◽  
pp. 522-523
Author(s):  
B. B. Rath ◽  
J. E. O'Neal ◽  
R. J. Lederich
Keyword(s):  
Electron Microscopy ◽  
Size Distribution ◽  
Grain Refinement ◽  
Grain Growth ◽  
Volume Fraction ◽  
Pure Titanium ◽  
Systematic Investigation ◽  
Second Phase ◽  
Titanium Matrix ◽  
Average Size

Addition of small amounts of erbium has a profound effect on recrystallization and grain growth in titanium. Erbium, because of its negligible solubility in titanium, precipitates in the titanium matrix as a finely dispersed second phase. The presence of this phase, depending on its average size, distribution, and volume fraction in titanium, strongly inhibits the migration of grain boundaries during recrystallization and grain growth, and thus produces ultimate grains of sub-micrometer dimensions. A systematic investigation has been conducted to study the isothermal grain growth in electrolytically pure titanium and titanium-erbium alloys (Er concentration ranging from 0-0.3 at.%) over the temperature range of 450 to 850°C by electron microscopy.

Microstructural characterization of a rapidly solidified Al-Fe-V-Si alloy for elevated temperature applications

1988 ◽  
Vol 46 ◽  
pp. 550-551
Author(s):  
R. E. Franck ◽  
J. A. Hawk ◽  
G. J. Shiflet
Keyword(s):  
High Temperature ◽  
Elevated Temperature ◽  
Grain Growth ◽  
Volume Fraction ◽  
Microstructural Characterization ◽  
Second Phase ◽  
Microstructural Stability ◽  
Elevated Temperature Strength ◽  
Temperature Applications

Rapid solidification processing (RSP) is one method of producing high strength aluminum alloys for elevated temperature applications. Allied-Signal, Inc. has produced an Al-12.4 Fe-1.2 V-2.3 Si (composition in wt pct) alloy which possesses good microstructural stability up to 425°C. This alloy contains a high volume fraction (37 v/o) of fine nearly spherical, α-Al12(Fe, V)3Si dispersoids. The improved elevated temperature strength and stability of this alloy is due to the slower dispersoid coarsening rate of the silicide particles. Additionally, the high v/o of second phase particles should inhibit recrystallization and grain growth, and thus reduce any loss in strength due to long term, high temperature annealing.The focus of this research is to investigate microstructural changes induced by long term, high temperature static annealing heat-treatments. Annealing treatments for up to 1000 hours were carried out on this alloy at 500°C, 550°C and 600°C. Particle coarsening and/or recrystallization and grain growth would be accelerated in these temperature regimes.

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