scholarly journals GRAIN BOUNDARY MIGRATION IN THIN FILMS USING MONTE CARLO METHOD

Anales AFA ◽  
2020 ◽  
Vol 31 (1) ◽  
pp. 7-12
Author(s):  
C. L. Di Prinzio ◽  
P. I. Achával ◽  
D. Stoler ◽  
G. Aguirre Varela

This paper presents the evolution of a flat grain boundary in a thin sample, using a numerical algorithm based on the Monte Carlo method. The grain boundary is driven by an external force and the effect of the free surface is studied.The grain boundary migration on the free surface is spasmodic, which means that it has alternating periods of movement and stagnation. Stagnation periods are inversely proportional to the thickness of the sample. The results obtained computationally fitted acceptable with the theoretical results obtained by different authors.

Anales AFA ◽  
2019 ◽  
Vol 30 (3) ◽  
pp. 47-51
Author(s):  
P.I. Achával ◽  
C. L. Di Prinzio

In this paper the migration of a grain triple junction in apure ice sample with bubbles at -5°C was studied for almost 3hs. This allowed tracking the progress of the Grain Boundary (BG) and its interaction with the bubbles. The evolution of the grain triple junction was recorded from successive photographs obtained witha LEICA® optical microscope. Simultaneously, numerical simulations were carried out using Monte Carlo to obtain some physical parameters characteristic of the BG migration on ice.


Anales AFA ◽  
2019 ◽  
Vol Vol.30 (Vol.30 N.2) ◽  
pp. 25-30
Author(s):  
P. I. Achával ◽  
C. A. Rodríguez Luca ◽  
C. L. Di Prinzio

In this work, the evolution of a tridimensional (3D) spherical crystal with mobile particles using a Monte Carlo algorithm is presented. The mean radius R of spherical crystal without particles changes according to the law: R2 = -4kt + Ro2, where Ro is the initial radius and k is a crystal constant. However, this law is modified when mobile particles are included. The effect of two types of mobile particles on the grain boundary migration of a spherical grain was also studied. One type of particle remained located in the middle of the grain boundary once it was incorporated (CT), and the other type of particle remained at the grain boundary without having any particular location (NC). It could be seen that the CT particle slowed down more the grain boundary migration than the NC particles. It was also found that the rate of reduction of the grain area is inversely proportional to the concentration of CT particles in the grain boundary for all the CT particles concentrations. Finally, it was established that the grain reaches a limit radius for CT particles which is related to the amount of particles that can be accommodated in the grain boundary.


2005 ◽  
Vol 482 ◽  
pp. 195-198 ◽  
Author(s):  
Jiří Kroc

This paper continues in the previous research focussed to two simple questions. The first one reads: ”What is the influence of anisotropy of computational lattice on simulations of boundary movement?” where grain boundary movement typically appears in simulations of grain boundary migration and static/dynamic recrystallization. The second question reads: ”How is the computational anisotropy related to natural anisotropy of the material lattice itself?” This study is focussed on the influence of change of the computational algorithm and/or lattice on the grain boundary movement. Two algorithms, the majority rule and the simple modification of the Monte Carlo method for two different lattices – namely square and hexagonal one – are used.


2001 ◽  
Vol 90 (2) ◽  
pp. 781-788 ◽  
Author(s):  
Deok-kee Kim ◽  
William D. Nix ◽  
Richard P. Vinci ◽  
Michael D. Deal ◽  
James D. Plummer

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