Real time-temperature models for Monte Carlo simulations of normal grain growth

The finite difference model is coupled with a cellular automaton (CA) model to simulate dendrite growth in TIG (tungsten inert-gas) weld molten pool of nickel-based alloys. Based on the macro finite difference computation of the thermal field of the whole weldment, the micro CA model is used to simulate grain formation process in 2-dimension area within weld molten pool. The results illustrate that the complicated thermal field and solute field can lead to complex grain morphologies in weld molten pool. The primary dendrite spacing changes during welding solidification process and the final primary dendrite spacing is decided by the thermal field, solute field and other parameters. And it is indicated that the grain boundary segregation has important relationship with welding speed. The grain boundary segregations become more severe as the welding speed increases when the other parameters are kept unchanged.

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“…And even in the limited studies of weld microstructure simulation, most of them are about HAZ (heat-affected zone) [20][21][22]. At the…”

Section: Introductionmentioning

confidence: 99%

Dendritic grain growth simulation in weld molten pool based on CA‐FD model

Zhan¹,

Dong

Wei

et al. 2008

Cryst. Res. Technol.

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“…Since 1990s, many achievements have been made in modeling the microstructure evolution of casting solidification process by combining CA with finite difference (CA-FD) and CA with finite element method (CA-FE) [5,[8][9][10][11][12][13][14][15][16]. Simulating the mesostructure and microstructure of HAZ (heat-affected zone) are studied too for several years [17][18][19]. And even the grain growth during solidification process of weld pool is simulated [1,[20][21].…”

Section: Introductionmentioning

confidence: 99%

Stochastic modeling of columnar dendritic grain growth in weld pool of Al‐Cu alloy

Zhan¹,

Dong

Wei

et al. 2009

Cryst. Res. Technol.

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A multi-scale model is used to simulate columnar dendritic growth in TIG (tungsten inert-gas) weld molten pool of Al-Cu alloy. The grain morphologies at the edge of the weld pool are studied. The simulated results indicate that the average primary dendrite spacing changes during the solidification process in the weld pool because of the complicated thermal field, solute diffusion field and competitive growth. And it is shown that the secondary dendrite arms grow insufficiently in the space between dendrite trunks if the primary dendrite spacing is small. And the phenomenon has been explained by analyzing the influence of the solute accumulation on the constitutional undercooling and undercooling gradient when there are two different opposite solute diffusion fields.

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“…The application of the MC technique to model grain growth has been described in the literature. [4][5][6][7][8][9][10]19,20] Only the salient features pertinent to the specific problem addressed in B. Application of MC Technique in the HAZ of Real this article are described here.…”

Section: Introductionmentioning

confidence: 99%

“…The the grain growth in the heat-affected zone (HAZ) of phenomenon of "thermal pinning," in which a grain is physiwelds. [8][9][10][11] cally restricted from growing due to steep temperature gradiIn MC simulations, the dimensionless grain size changes with the number of iterations, which is also known as the ents in all the three directions, is more effectively modeled MC simulation time steps (t MCS ). In the MC model, the grainin 3-D than in 2-D simulations.…”

Section: Introductionmentioning

confidence: 99%

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Three-dimensional monte carlo simulation of grain growth in the heat-affected zone of a 2.25Cr-1Mo steel weld

Sista

Yang

DebRoy

2000

Metall Mater Trans B

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We report here the first three-dimensional (3-D) Monte Carlo (MC) modeling of grain growth in the heat-affected zone (HAZ) of a weldment. Computed grain-size distributions in the HAZ of a 2.25Cr-1Mo steel, for different heat inputs in the range from 1.1 to 4.8 MJ/m, were compared to independent experimental results. The simulated mean grain size for different heat inputs agreed well with the corresponding independent experimental data. The mean grain size at various locations equidistant from the fusion line were different. The predicted grain size from the 3-D model matched the experimental results more closely than that from a two-dimensional (2-D) model. When the whole calculation domain was subjected to a single thermal cycle experienced by a monitoring location within the HAZ, the computed grain size was larger than that calculated at the monitoring location by taking into account the prevailing temperature gradient due to thermal pinning. The good agreement between the simulated grain structure and the corresponding experimental results indicates significant promise for understanding grain-growth phenomena in the entire HAZ by using the MC technique.

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Real time-temperature models for Monte Carlo simulations of normal grain growth

Cited by 110 publications

References 9 publications

Dendritic grain growth simulation in weld molten pool based on CA‐FD model

Dendritic grain growth simulation in weld molten pool based on CA‐FD model

Stochastic modeling of columnar dendritic grain growth in weld pool of Al‐Cu alloy

Three-dimensional monte carlo simulation of grain growth in the heat-affected zone of a 2.25Cr-1Mo steel weld

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