Discrete particle simulation of gas-solid two-phase flows with multi-scale CPU-GPU hybrid computation

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机构：
[1] Xu, Ming
[2] Chen, Feiguo
[3] Liu, Xinhua
[4] Ge, Wei
[5] Li, Jinghai
来源：
Ge, W. (wge@home.ipe.ac.cn) | 1600年 / Elsevier B.V., Netherlands卷 / 207-208期
关键词：
Though discrete particle simulation (DPS) has been widely used for investigating gas-solid flows from a more detailed level as compared to traditional two-fluid models (TFMs); it is still seriously limited by the computational cost when large scale systems are simulated. GPUs (graphic processing units); with their massive parallel architecture and high floating point performance; provide new possibilities for large-scale DPS. In this paper; a multi-scale CPU (central processing unit)-GPU hybrid computation mode is developed; in which the fluid flow is computed by CPU(s) while the particle motion is computed by GPU(s). To explore its feasibility; this mode is adopted to simulate the flow structures in the fluidization of Geldart D and A particles; respectively. Further coupled with an EMMS (energy minimization multi-scale) based meso-scale model; the flow behavior in an industrial fluidized bed is finally simulated; shedding light on the engineering applications of DPS; as an alternative to TFM. © 2012 Elsevier B.V;
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