Cellular automaton simulation of grain growth with different orientation angles during solidification process

Zhan, Xiaoli; Wei, Yanhong; Dong, Zuomin

doi:10.1016/j.jmatprotec.2007.12.130

Cited by 69 publications

(41 citation statements)

References 20 publications

(43 reference statements)

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“…[33,[52][53][54][55][56][57][58] Use of a CA for solidification has the advantage of computational efficiency over alternative approaches, such as the phase field method, but discretization error and grid effects are significant drawbacks. Corrections to minimize the grid effects that tend to occur in such models have been proposed [59][60][61] and utilized by many solidification models. Combinations of the phase field and cellular automata methods can be used to model multiscale solidification as well; for example, Tan and Shin [62] considers solidification of both grains (using a CA) and dendritic colonies (using phase field) in 2D at the appropriate length and time scales.…”

Section: The Laser Engineered Net Shaping (Lens™)mentioning

confidence: 99%

“…To reduce the deleterious effects of grid anisotropy on the growing colonies, the approach taken by Zhan et al [61] is used in which solidification of "clusters" of cells are evolved in tandem, effectively expanding the local neighborhood of the solidification from the typical Moore or Von Neumann neighborhoods and allowing the colonies that are misaligned with the grid to maintain their preferred orientations.…”

Section: Cellular Automata (Ca) For Solidificationmentioning

confidence: 99%

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Modeling of Ti-W Solidification Microstructures Under Additive Manufacturing Conditions

Rolchigo

Mendoza

Samimi

et al. 2017

Metall Mater Trans A

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Additive manufacturing (AM) processes have many benefits for the fabrication of alloy parts, including the potential for greater microstructural control and targeted properties than traditional metallurgy processes. To accelerate utilization of this process to produce such parts, an effective computational modeling approach to identify the relationships between material and process parameters, microstructure, and part properties is essential. Development of such a model requires accounting for the many factors in play during this process, including laser absorption, material addition and melting, fluid flow, various modes of heat transport, and solidification. In this paper, we start with a more modest goal, to create a multiscale model for a specific AM process, Laser Engineered Net Shaping (LENS™), which couples a continuumlevel description of a simplified beam melting problem (coupling heat absorption, heat transport, and fluid flow) with a Lattice Boltzmann-cellular automata (LB-CA) microscale model of combined fluid flow, solute transport, and solidification. We apply this model to a binary Ti-5.5 wt pct W alloy and compare calculated quantities, such as dendrite arm spacing, with experimental results reported in a companion paper.

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Section: The Laser Engineered Net Shaping (Lens™)mentioning

confidence: 99%

Section: Cellular Automata (Ca) For Solidificationmentioning

confidence: 99%

Modeling of Ti-W Solidification Microstructures Under Additive Manufacturing Conditions

Rolchigo

Mendoza

Samimi

et al. 2017

Metall Mater Trans A

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“…If fs≥1, the cell state is changed from growing to solid and states of neighbor cells are changed from liquid to growing according to the limited angles method [21] to keep the growth angle. The limited angles method are presented in Figure 3.…”

Section: Solid Fractionmentioning

confidence: 99%

“…Wei et al [20] first attempt CA model on 2D simulation of welding solidification. Contributed to by many works [21][22][23][24], CA method has become a powerful tool in simulating microstructure evolution of welding solidification process.…”

Section: Introductionmentioning

confidence: 99%

Modeling grain orientation of DP600 steel by Nd:YAG laser

2016

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Abstract.A FE-CA (Finite Element-Cellular Automaton) model is built to simulate the microstructure evaluation during laser welding of DP600 high strength steel. A moving conical heat source is performed in ABAQUS to achieve temperature field during welding. A linear interpolation method is used to transfer node temperature of ABAQUS to cell temperature of Cellular Automaton. With the consideration of temperature and solute concentration, the solidification of DP600 after weld is simulated. The established FE-CA model can simulate 2D equiaxed and column dendrite grain growth. The competitive growth between different dendrite arms is presented. The weld microstructure simulation result shows good agreement with experiment results.

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“…One could also find very few attempts involving stochastic methods such as Monte Carlo approach but on relatively small-scale simulation [18,19]. Cellular Automaton are frequently applied in the field of solidification and grain growth for superalloys [20]. The authors did not find any application to precipitation including misfit strain in large scale mesoscopic simulations.…”

Section: Simulation Setupmentioning

confidence: 99%

Large scale 3-D phase-field simulation of coarsening in Ni-base superalloys

Rajendran

Shchyglo²,

Steinbach³

2014

MATEC Web of Conferences

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Abstract. In this study we present a large scale numerical simulation of γ -γ microstructure evolution in Nibase superalloy using the multi-phase field method in three dimensions. We numerically simulated precipitation hardening heat treatment cycles. Large scale three dimensional simulations are necessary in order to get sufficient statistics for predicting the morphological evolution, average γ precipitate size, precipitates size distribution over time and ripening exponent for a given temperature and composition. A detailed analysis of obtained result is presented emphasising the effect of elastic interaction on the coarsening kinetics in Ni-base superalloy. The study is performed using the phase-field modelling library "OpenPhase" which is based on a multi-phase field multi-component model.

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Cellular automaton simulation of grain growth with different orientation angles during solidification process

Cited by 69 publications

References 20 publications

Modeling of Ti-W Solidification Microstructures Under Additive Manufacturing Conditions

Modeling of Ti-W Solidification Microstructures Under Additive Manufacturing Conditions

Modeling grain orientation of DP600 steel by Nd:YAG laser

Large scale 3-D phase-field simulation of coarsening in Ni-base superalloys

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