GPU phase-field lattice Boltzmann simulations of growth and motion of a binary alloy dendrite
被引:46
作者:
Takaki, T.
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Kyoto Inst Technol, Mech & Syst Engn, Sakyo Ku, Kyoto 6068585, JapanKyoto Inst Technol, Mech & Syst Engn, Sakyo Ku, Kyoto 6068585, Japan
Takaki, T.
[1
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Rojas, R.
[1
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Ohno, M.
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Hokkaido Univ, Fac Engn, Kita Ku, Sapporo, Hokkaido 0608628, JapanKyoto Inst Technol, Mech & Syst Engn, Sakyo Ku, Kyoto 6068585, Japan
Ohno, M.
[2
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Shimokawabe, T.
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Tokyo Inst Technol, Global Sci Informat & Comp Ctr, Meguro Ku, Tokyo 1528550, JapanKyoto Inst Technol, Mech & Syst Engn, Sakyo Ku, Kyoto 6068585, Japan
Shimokawabe, T.
[3
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Aoki, T.
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Tokyo Inst Technol, Global Sci Informat & Comp Ctr, Meguro Ku, Tokyo 1528550, JapanKyoto Inst Technol, Mech & Syst Engn, Sakyo Ku, Kyoto 6068585, Japan
Aoki, T.
[3
]
机构:
[1] Kyoto Inst Technol, Mech & Syst Engn, Sakyo Ku, Kyoto 6068585, Japan
[2] Hokkaido Univ, Fac Engn, Kita Ku, Sapporo, Hokkaido 0608628, Japan
[3] Tokyo Inst Technol, Global Sci Informat & Comp Ctr, Meguro Ku, Tokyo 1528550, Japan
来源:
MCWASP XIV: INTERNATIONAL CONFERENCE ON MODELLING OF CASTING, WELDING AND ADVANCED SOLIDIFICATION PROCESSES
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2015年
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84卷
A GPU code has been developed for a phase-field lattice Boltzmann (PFLB) method, which can simulate the dendritic growth with motion of solids in a dilute binary alloy melt. The GPU accelerated PFLB method has been implemented using CUDA C. The equiaxed dendritic growth in a shear flow and settling condition have been simulated by the developed GPU code. It has been confirmed that the PFLB simulations were efficiently accelerated by introducing the GPU computation. The characteristic dendrite morphologies which depend on the melt flow and the motion of the dendrite could also be confirmed by the simulations.