纳米流体流动与传热过程的LBM并行计算

LBM Parallel Computation for Flow and Heat Transfer of Nanofluids

建立了描述纳米流体流动与传热过程的格子-Boltzmann模型,针对格子-Boltzmann方法(LBM)高度并行性的特点,用消息传递机制实现了平板间纳米流体流动与传热过程的LBM并行计算,分析了处理器数目与区域分解模式对计算效率的影响。结果表明,纳米粒子的微运动强化了流体与壁面以及流体内部的换热过程,LBM并行计算方法应用于纳米流体流动传热计算能够提高计算效率。

A Lattice Boltzmann model （LBM） is proposed for simulating flow and energy transport process of the nanofluid. Because of the intrinsic parallel characteristic of LBM, the parallel computation of the LBM simulation of nanofluid is carried out by means of message passing interface （MPI） approach. The optimal region-decomposed scheme and the processor number are discussed. The results show that the random motion of the suspended nanoparticles enhances heat transfer process of the base fluid. The Lattice-Bohzmann method is an appropriate approach to handle flow and energy transport problems of the nanofluid. The high efficiency parallel computation scheme of LBM has been achieved.