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.

scholarly journals Benchmarking of Siemens Linac in Electron Modes: 8-14 MeV Electron Beams

2018 ◽  
Vol 8 (2) ◽  
Author(s):  
H Dowlatabadi ◽  
A A Mowlavi ◽  
M Ghorbani ◽  
S Mohammadi ◽  
F Akbari
Keyword(s):  
Monte Carlo ◽  
Radiation Treatment ◽  
Electron Beams ◽  
Dose Profile ◽  
Depth Dose ◽  
Mcnpx Code ◽  
Gamma Index ◽  
Simulation Results ◽  
Mc Simulation ◽  
Good Agreement

Introduction: Radiation therapy using electron beams is a promising method due to its physical dose distribution. Monte Carlo (MC) code is the best and most accurate technique for forespeaking the distribution of dose in radiation treatment of patients.Materials and Methods: We report an MC simulation of a linac head and depth dose on central axis, along with profile calculations. The purpose of the present research is to carefully analyze the application of MC methods for the calculation of dosimetric parameters for electron beams with energies of 8–14 MeV at a Siemens Primus linac. The principal components of the linac head were simulated using MCNPX code for different applicators. Results: The consequences of measurements and simulations revealed a good agreement. Gamma index values were below 1 for most points, for all energy values and all applicators in percent depth dose and dose profile computations. A number of states exhibited rather large gamma indices; these points were located at the tail of the percent depth dose graph; these points were less used in in radiotherapy. In the dose profile graph, gamma indices of most parts were below 1. The discrepancies between the simulation results and measurements in terms of Zmax, R90, R80 and R50 were insignificant. The results of Monte Carlo simulations showed a good agreement with the measurements. Conclusion: The software can be used for simulating electron modes of a Siemens Primus linac when direct experimental measurements are not feasible.

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.

scholarly journals Neutronic modeling of a subcritical system with corium particles and water (from international benchmark)

2020 ◽  
Vol 6 (3) ◽  
pp. 155-160
Author(s):  
Anton D. Smirnov ◽  
Ekaterina V. Bogdanova ◽  
Pavel A. Pugachev ◽  
Ivan S. Saldikov ◽  
Mikhail Yu. Ternovykh ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Scientific Community ◽  
Structural Elements ◽  
The Monte Carlo Method ◽  
Fukushima Daiichi ◽  
Simulation Results ◽  
Subcritical System ◽  
Good Agreement

After the accident at the Fukushima Daiichi NPP, the attention of the scientific community is riveted on how the consequences are being eliminated. Removing corium – a lava-like resolidified mixture of nuclear fuel with other structural elements of the reactor – remains the most difficult task, the solution of which can take several decades. It is extremely important to exclude the occurrence of any emergency processes during the removal of corium. The purpose of this work was to solve a coordinated hydrodynamic and neutronic problem characterized by a large number of randomly oriented and irregularly located corium particles in water as part of the development of a benchmark for this class of problems. Monte Carlo-based precision codes were used to perform a neutronic analysis. The positions of corium particles were determined from the numerical simulation results. The analysis results obtained using the codes involved showed good agreement for all the states considered. It was shown that the modern neutronic codes based on the Monte Carlo method successfully cope with the geometric formation and solution of the problem with a nontrivial distribution of corium particles in water. The results of the study can be used to justify the safety of corium handling procedures, including its extraction from a damaged power unit.

Simulation of the Effect of Sintering Pressure on Microstructure Evolution in Nanocomposite Ceramic Tool Materials

2013 ◽  
Vol 395-396 ◽  
pp. 262-265 ◽  
Author(s):  
Hong Mei Cheng ◽  
Chuan Zhen Huang
Keyword(s):  
Grain Size ◽  
Monte Carlo ◽  
Grain Growth ◽  
Microstructure Evolution ◽  
Growth Process ◽  
Sintering Process ◽  
Ceramic Tool ◽  
Tool Materials ◽  
Mean Grain Size ◽  
The Mean

A Monte Carlo Potts model coupled with sintering pressure for the sintering process of nanocomposite ceramic tool materials is proposed, the relation between grain growth and sintering pressure is presented. The grain growth process at different sintering pressure is investigated in this model, and the effect of sintering pressure on microstructure evolution is discussed, it is found that the mean grain size increases with the increase of sintering pressure during simulation. The results from this simulation are shown to correlate well with the experimental observations.

Modeling grain growth by the monte carlo method on isotropic grids

1999 ◽  
Vol 72 (1) ◽  
pp. 68-72
Author(s):  
M. Yu. Al’es ◽  
A. I. Varnavskii ◽  
S. P. Kopysov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Grain Growth ◽  
The Monte Carlo Method

Handling of Collimated Irradiation on a Plane-Parallel Participating Medium

2000 ◽  
Author(s):  
Christian Proulx ◽  
Daniel R. Rousse ◽  
Rodolphe Vaillon ◽  
Jean-François Sacadura
Keyword(s):  
Heat Flux ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Radiative Heat ◽  
Radiative Heat Flux ◽  
Scattering Media ◽  
One Dimensional ◽  
Plane Parallel ◽  
Collimated Beam ◽  
Good Agreement

Abstract This article presents selected results of a study comparing two procedures for the treatment of collimated irradiation impinging on one boundary of a participating one-dimensional plane-parallel medium. These procedures are implemented in a CVFEM used to calculate the radiative heat flux and source. Both isotropically and anisotropically scattering media are considered. The results presented show that both procedures provide results in good agreement with those obtained using a Monte Carlo method, when the collimated beam impinges normally.

A Simple Statistical Theory for Grain Growth in Materials.

1990 ◽  
Vol 209 ◽  
Author(s):  
P. Mulheran ◽  
J.H. Harding
Keyword(s):  
Growth Rate ◽  
Monte Carlo ◽  
Statistical Theory ◽  
Stochastic Model ◽  
Grain Growth ◽  
Three Dimensional ◽  
Monte Carlo Procedure ◽  
Short Time ◽  
2D And 3D ◽  
Good Agreement

A Monte Carlo procedure has been used to study the ordering of both two and three dimensional (2d and 3d) Potts Hamiltonians, further to the work of Anderson et al. For the 3d lattice, the short time growth rate is found to be much slower than previously reported, though the simulated microstructure is in agreement with the earlier studies. We propose a new stochastic model that gives good agreement with the simulations.

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