Monte Carlo simulation of grain growth in polycrystalline materials

2006 ◽  
Vol 252 (11) ◽  
pp. 3997-4002 ◽  
Author(s):  
C. Ming Huang ◽  
C.L. Joanne ◽  
B.S.V. Patnaik ◽  
R Jayaganthan
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Grain Growth ◽  
Polycrystalline Materials

Evaluation of grain growth exponent by Monte Carlo simulation in polycrystalline materials

2021 ◽  
pp. 2150024
Author(s):  
P. Rajendra ◽  
K. R. Phaneesh ◽  
C. M. Ramesha ◽  
Madeva Nagaral ◽  
V Auradi
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Grain Growth ◽  
Growth Exponent ◽  
Polycrystalline Materials ◽  
Second Phase ◽  
2D Simulation ◽  
Second Phase Particles ◽  
The Matrix ◽  
Grain Growth Kinetics

In metallurgy, the microstructure study is very important to evaluate the properties and performances of a material. The Monte Carlo method is applied in so many fields of Engineering Science and it is a very effective method to examine the topology of the computer-simulated structures and exactly resembles the static behavior of the atoms. The effective 2D simulation was performed to understand the grain growth kinetics, under the influence of second phase particles (impurities) is a base to control the microstructure. The matrix size and [Formula: see text]-states are optimized. The grain growth exponent was investigated in a polycrystalline material using the [Formula: see text]-state Potts model under the Monte Carlo simulation. The effect of particles present within the belly of grains and pinning on the grain boundaries are observed. The mean grain size under second phase particles obeys the square root dependency.

Monte Carlo Simulation of Texture and Microstructure Transformation during Annealing of Steel

2007 ◽  
Vol 129 ◽  
pp. 83-87
Author(s):  
Hua Long Li ◽  
Jong Tae Park ◽  
Jerzy A. Szpunar
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Grain Boundary ◽  
Computer Model ◽  
Graphical Representation ◽  
Structural Characteristics ◽  
Polycrystalline Materials ◽  
Virtual Experiments ◽  
Grain Boundary Character ◽  
Simulation Based

Controlling texture and microstructure evolution during annealing processes is very important for optimizing properties of steels. Theories used to explain annealing processes are complicated and always case dependent. An recently developed Monte Carlo simulation based model offers an effective tool for studying annealing process and can be used to verify the arbitrarily defined theories that govern such processes. The computer model takes Orientation Image Microscope (OIM) measurements as an input. The abundant information contained in OIM measurement allows the computer model to incorporate many structural characteristics of polycrystalline materials such as, texture, grain boundary character, grain shape and size, phase composition, chemical composition, stored elastic energy, and the residual stress. The outputs include various texture functions, grain boundary and grain size statistics that can be verified by experimental results. Graphical representation allows us to perform virtual experiments to monitor each step of the structural transformation. An example of applying this simulation to Si steel is given.

scholarly journals Monte Carlo simulation of grain growth

1999 ◽  
Vol 2 (3) ◽  
pp. 133-137 ◽  
Author(s):  
Paulo Blikstein ◽  
André Paulo Tschiptschin
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Grain Growth

Three-dimensional monte-carlo simulation of grain growth in Pt-Co thin film

2002 ◽  
Vol 31 (10) ◽  
pp. 965-971 ◽  
Author(s):  
Sung Il Park ◽  
Sang Soo Han ◽  
Hyoung Gyu Kim ◽  
Joong Keun Park ◽  
Hyuck Mo Lee
Keyword(s):  
Thin Film ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Grain Growth ◽  
Three Dimensional
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