Orientation selection of equiaxed dendritic growth by three-dimensional cellular automaton model

Wei, Lei; Lin, Xin; Huang, Weidong

doi:10.1016/j.physb.2012.03.048

Cited by 33 publications

(23 citation statements)

References 25 publications

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“…The evolution behavior of the organization is often affected by the anisotropy of the mesh, thus restricting the accuracy of the prediction of CA model. L. Wei et al [11] used adaptive mesh technology (limited neigh-bor solid fraction, LNSF) which can reduce mesh anisotropy and modified the previous model.…”

Section: Coupling Principle Of Cafementioning

confidence: 99%

Metal solidification micro-structure simulation of direct laser deposition based on cellular automation

Guan

Chen

Zhou

et al. 2017

2017 2nd International Conference on Mechatronics and Information Technology (ICMIT 2017)

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Abstract:In recent years, by combining laser cladding, direct laser deposition (DLD) forming as a additive manufacturing (AM) technology has been developed to fabricate high-performance metal components directly. Since the non-equilibrium solidification process involves the thermal and fluidic phenomena inherent which impact the micro-structure, and thus determine the final properties of parts. The mechanism about thermodynamics and dynamics of micro-structure evolution is still not clear during the DLD process. Based on the situation, the article provides an overview of a more mainstream cellular automation (CA) method in the simulation of micro-structure evolution of DLD, briefly describes the basic principle and thought of CA, gives classical and modified models and applications of CA in micro-structure simulation in current research. Meanwhile, several major challenges are also analyzed and the future directions are forecasted.

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Section: Coupling Principle Of Cafementioning

confidence: 99%

Metal solidification micro-structure simulation of direct laser deposition based on cellular automation

Guan

Chen

Zhou

et al. 2017

2017 2nd International Conference on Mechatronics and Information Technology (ICMIT 2017)

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“…It has been reported that these models can quantitatively reproduce most experimentally observed dendritic structures within acceptable computational timeframes. [6][7][8][9][10][11][12][13] The CA model has been combined with adaptive mesh refinement 11) or with a multi-grid method [6][7][8][9][10]12,13) because the related computational times depend on grid sizes for calculating temperature, solute concentrations, and solid fraction fields.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Microsegregation in Fe–C–Cr Ternary Alloys Using a Cellular Automaton Model with a Triple-layered Multi-grid Method

Natsume

2016

ISIJ Int.

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A new cellular automaton (CA) model with a triple-layered multi-grid (TLMG) method for ternary alloys was developed, and prediction of microsegregation in Fe-C-Cr ternary alloys was performed by using the technique combining a two-dimensional CA model with the TLMG method and thermodynamic equilibrium (EQ) calculations. In this work, simulations of multi-dendritic growth were performed for twelve different Fe-C-Cr alloys by using the current CA model; then EQ calculations were conducted by utilizing the results of the previous CA simulations. The compositions of interdendritic liquids obtained by the CA simulations were used as initial input data for the EQ calculations. Microsegregation in the Fe-C-Cr alloys was evaluated using segregation indices corresponding to the ratios between the maximum and minimum concentrations in the calculation domains. The predicted values of a Cr segregation index increase with an increase in the carbon content in alloys; these values are in good agreement with the experimental data reported by Kishitake et al. [K. Kishitake, S. Matsuo and T. Okamoto Tetsu-to-Hagane, 63 (1977), p. 1108] The obtained results indicate that microsegregation in ternary alloys can be predicted quantitatively using the proposed method that includes CA simulations combined with EQ calculations.

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“…Using this model, the effect of the anisotropic surface energy on the dendrite growth kinetics and morphologies was studied. In order to reduce the mesh induced anisotropy caused by CA capture rules, a 3-D CA model coupled with a limited neighbor solid fraction, referred to as the LNSE method, was developed by Wei et al [22], as this model was suitable for use in describing the solidification of a pure substance. In this model, two interface free energy anisotropy parameters were employed in order to simulate the dendrite orientation selection.…”

Section: Introductionmentioning

confidence: 99%

Cellular automaton simulation of three-dimensional dendrite growth in Al–7Si–Mg ternary aluminum alloys

Chen

Liu

2015

Computational Materials Science

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a b s t r a c tDue to the extensive applications in the automotive and aerospace industries of Al-7Si-Mg casting alloys, an understanding of their dendrite microstructural formation in three dimensions is of great importance in order to control the desirable microstructure, so as to modify the performance of castings. For this reason, a three-dimensional cellular automaton model (3-D CA) allowing for the prediction of dendrite growth of ternary alloys is presented. The growth kinetics of the solid/liquid (S/L) interface is calculated based on the solutal equilibrium approach. This proposed model introduces a modified decentered octahedron algorithm for neighborhood tracking, in order to eliminate the effects of mesh dependency on dendrite growth. The thermodynamic and kinetic data needed in the simulations are obtained through coupling with the Pandat software package in combination with thermodynamic/kinetic/equilibrium phase diagram calculation databases. The solute interactions between alloying elements are considered in the model. The model was first used to simulate the Al-7Si dendrite, followed by a validation using theoretical predictions. The influence of Mg content on the dendrite growth dynamics and dendrite morphologies was investigated. Also, the model was applied to Al-7Si-0.5Mg dendrite simulation both with and without a consideration of solute interactions between the Si and Mg alloying elements and the effects on dendrite growth process was analyzed using the simulation results. This model was finally used in order to simulate the dendrite growth in different crystallographic orientations in an Al-7Si-0.36Mg ternary alloy during polycrystalline solidification, resulting in a predicted secondary dendrite arm spacing (SDAS) and dendrite volume fraction data that show a reasonable agreement with experimental results. The single dendrite and polycrystalline growth simulations effectively demonstrate the capability of this model in predicting the three-dimensional dendrite microstructure of ternary alloys. Ó 2015 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).

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Orientation selection of equiaxed dendritic growth by three-dimensional cellular automaton model

Cited by 33 publications

References 25 publications

Metal solidification micro-structure simulation of direct laser deposition based on cellular automation

Metal solidification micro-structure simulation of direct laser deposition based on cellular automation

Prediction of Microsegregation in Fe–C–Cr Ternary Alloys Using a Cellular Automaton Model with a Triple-layered Multi-grid Method

Cellular automaton simulation of three-dimensional dendrite growth in Al–7Si–Mg ternary aluminum alloys

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