GPU-accelerated three-dimensional large-scale simulation of dendrite growth for Ti6Al4V alloy based on multi-component phase-field model

Sun, Wangyu; Yan, Rui; Zhang, Yizhong; Dong, Haibo; Jing, Tao

doi:10.1016/j.commatsci.2018.12.051

Cited by 25 publications

(11 citation statements)

References 34 publications

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“…dendrite growth simulation using phase field model, due to massive computation capacity and high memory bandwidth, where high efficiency and scalability were demonstrated [29][30][31].…”

Section: A Cellular Automaton Model 21 Nucleation Model and Grain Gmentioning

confidence: 99%

GPU-Accelerated Cellular Automaton Model for Grain Growth during Directional Solidification of Nickel-Based Superalloy

Zhang

Zhou

Yin

et al. 2021

Metals

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To accelerate the large-scale cellular automaton (CA) simulation for grain growth, a parallel CA model for grain growth was developed. The model was implemented based on the compute unified device architecture (CUDA) parallel computing platform. The model was verified by the grain growth of a single crystal and the columnar-to-equiaxed transition (CET) of an Al-7wt% Si specimen of uniform undercooling with a constant cooling rate. The grid independence of the model was verified. The grain growth of a plate-like casting of nickel-based superalloy during directional solidification process was simulated and the obtained results of grain density at each section with different heights were compared with the experimental data. The CET transition of directional solidified Al-7wt% Si cylindrical ingot was simulated. The grain texture and cooling curves were in good agreement with experimental results from the literature. Finally, high parallel performance of the CA model was obtained and evaluated.

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“…dendrite growth simulation using phase field model, due to massive computation capacity and high memory bandwidth, where high efficiency and scalability were demonstrated [29][30][31].…”

Section: A Cellular Automaton Model 21 Nucleation Model and Grain Gmentioning

confidence: 99%

GPU-Accelerated Cellular Automaton Model for Grain Growth during Directional Solidification of Nickel-Based Superalloy

Zhang

Zhou

Yin

et al. 2021

Metals

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“…In particular, the parallel computational technique using GPUs has been attracting attention. [115][116][117][118][119][120] In 2011, a very large-scale phase-field simulation was carried out using the GPU supercomputer TSUBAME 2.0 (Tokyo Institute of Technology) to describe the competitive growth of columnar dendrites in the Al-Si alloy. The computational perfor-mance of this multi-GPU method reached approximately 2.0 petaflops using 4 000 GPUs, which was awarded the ACM Gordon Bell Prize in 2011.…”

Section: High-performance Computingmentioning

confidence: 99%

Quantitative Phase-field Modeling and Simulations of Solidification Microstructures

Ohno

2020

ISIJ Int.

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This review presents the development of quantitative phase-field models for simulating the formation processes of solidification microstructures, with particular attention to the theoretical foundation and progress in modeling. The symmetry of interpolating functions required to reproduce the free-boundary problem in the thin-interface limit and the necessity of antitrapping current in the diffusion equation are discussed. In addition, new cross-coupling in the phase-field equation for two-sided asymmetric diffusion is briefly described. Recent achievements of large-scale simulations using high-performance computing techniques are explained. Furthermore, some important applications of quantitative phase-field simulations such as investigations of cellular and dendritic growth, microsegregation, and peritectic reaction in carbon steel are discussed.

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“…Liu et al [ 19 ] simulated the dendrite growth process of Ti-6Al-4V alloy and revealed the details of the formation of the secondary dendrite arms. Sun et al [ 20 ] used the multi-component phase-field model to conduct 2D and 3D simulations of Ti-6Al-4V alloy and found that the phenomenon of dendrite merger will increase the dendrite spacing and coarse dendrite. Feng et al [ 21 ] simulated the growth process of the equiaxed dendrite of Al-Cu alloy based on the multi-component phase-field model, and the simulation results showed that the dendrite competitive growth of multiple grains.…”

Section: Introductionmentioning

confidence: 99%

The Morphology and Solute Segregation of Dendrite Growth in Ti-4.5% Al Alloy: A Phase-Field Study

et al. 2021

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Ti-Al alloys have excellent high-temperature performance and are often used in the manufacture of high-pressure compressors and low-pressure turbine blades for military aircraft engines. However, solute segregation is easy to occur in the solidification process of Ti-Al alloys, which will affect their properties. In this study, we used the quantitative phase-field model developed by Karma to study the equiaxed dendrite growth of Ti-4.5% Al alloy. The effects of supersaturation, undercooling and thermal disturbance on the dendrite morphology and solute segregation were studied. The results showed that the increase of supersaturation and undercooling will promote the growth of secondary dendrite arms and aggravate the solute segregation. When the undercooling is large, the solute in the root of the primary dendrite arms is seriously enriched, and when the supersaturation is large, the time for the dendrite tips to reach a steady-state will be shortened. The thermal disturbance mainly affects the morphology and distribution of the secondary dendrite arms but has almost no effect on the steady-state of the primary dendrite tips. This is helpful to understand the cause of solute segregation in Ti-Al alloy theoretically.

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GPU-accelerated three-dimensional large-scale simulation of dendrite growth for Ti6Al4V alloy based on multi-component phase-field model

Cited by 25 publications

References 34 publications

GPU-Accelerated Cellular Automaton Model for Grain Growth during Directional Solidification of Nickel-Based Superalloy

GPU-Accelerated Cellular Automaton Model for Grain Growth during Directional Solidification of Nickel-Based Superalloy

Quantitative Phase-field Modeling and Simulations of Solidification Microstructures

The Morphology and Solute Segregation of Dendrite Growth in Ti-4.5% Al Alloy: A Phase-Field Study

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