GPU Accelerated Phase-Field Simulation of Convection Effect on Dendritic Growth
GPU Accelerated Phase-Field Simulation of Convection Effect on Dendritic Growth
复制标题
GPU 加速相场模拟对枝晶生长的对流效应
DOI：
10.1166/jctn.2015.4243
复制
发表时间：
2015-10
影响因子：
--
通讯作者：
Rongzhen Xiao
中科院分区：
文献类型：
--
作者：
Changsheng Zhu;Hao Li;Li Feng;Rongzhen Xiao
建立了二元合金的结合质量和动量守恒方程的相场模型。由于计算量大、计算效率低等问题，传统方法难以实现实时相场模拟。本文基于CUDA技术，实现了对流下Ni-Cu二元合金枝晶生长的并行求解。当网格大小为5123时，使用共享内存的单GeForce GTX780 GPU计算与单Intel Xeon E5507 CPU计算相比，可实现46.52的加速，极大地提高了计算效率。此外，还研究了对流对枝晶图案和微观偏析的影响。结果表明，在没有噪声的情况下，对流会产生侧枝，且对流速度U越大，上游侧枝越发达。对流速度U的增大会加剧前界面枝晶微观偏析的严重程度。
A phase-field model incorporating mass and momentum conservation equations for binary alloy is established. Due to the problems of large computational demand and low computational efficiency, it is hard to implement real-time phase-field simulation with traditional methods. In this paper, based on CUDA techniques, parallel solution to dendritic growth of Ni–Cu binary alloy under convection is implemented. A speedup of 46.52 is achieved on a single GeForce GTX780 GPU computation with the shared memory compared to a single Intel Xeon E5507 CPU computation when the grid size is 5123, which greatly improves computational efficiency. In addition, the effects of convection on dendritic pattern and microsegregation are also investigated. The results show that, without noise, the convection can induce side-branches and the upstream side-branches are more developed with larger convection velocity U. And an increased level of convection velocity U aggravates the severity of dendritic microsegregation in the front interface.