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首页> 外文期刊>Journal of Heat Transfer >DSMC Simulation of Low Knudsen Micro/Nanoflows Using Small Number of Particles per Cells
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DSMC Simulation of Low Knudsen Micro/Nanoflows Using Small Number of Particles per Cells

机译:低克努森微/纳流的DSMC模拟,每个细胞使用少量粒子

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Direct simulation Monte Carlo (DSMC) method in low Knudsen rarefied flows at micro/ nanoscales remains a big challenge for researchers due to large computational requirements. In this article, the application of the simplified Bernoulli-trials (SBT)ldual grid collision scheme is extended for solving low Knudsen/low speed and low Knudsen/high gradient rarefied microanoflows. The main advantage of the SBT algorithm is to provide accurate calculations using much smaller number of particles per cell, i.e., (N) ≈ 2, which is quite beneficial for near continuum DSMC simulations where the requirement of fine meshes faces the simulation with serious memory restrictions. Comparing the results of the SBT/dual grid scheme with the no time counter (NTC) scheme and majorant frequency scheme (MFS), it is shown that the SBTIdual grid scheme could successfully predict the thermal pattern and hydrodynamics field as well as surface parameters such as velocity slip, temperature jump and wall heat fluxes. Therefore, we present SBT/dual grid algorithm as a suitable alternative of the standard collision schemes in the DSMC method for typical microanoflows solution. Nonlinear flux-corrected transport (FCT) algorithm is also employed as a filter to extract the smooth solution from the noisy DSMC calculation for low speed/low Knudsen number DSMC calculations.
机译:由于计算量大,在微米/纳米级的低克努森稀疏流中进行直接模拟蒙特卡罗(DSMC)方法仍然是研究人员的一大挑战。在本文中,扩展了简化的伯努利试验(SBT)双重网格碰撞方案的应用,以解决低Knudsen /低速和低Knudsen /高梯度稀有微/纳流问题。 SBT算法的主要优点是使用每个单元少得多的粒子数即可提供精确的计算,即(N)≈2,这对于近连续DSMC模拟非常有用,在DSMC模拟中,细网格的要求面对具有大量内存的模拟限制。将SBT /双重网格方案与无时间计数器(NTC)方案和主频率方案(MFS)的结果进行比较,表明SBTIdual网格方案可以成功预测热模式和流体动力学场以及表面参数,例如如速度滑移,温度跃变和壁热通量。因此,对于典型的微/纳流解决方案,我们提出了SBT /双网格算法作为DSMC方法中标准碰撞方案的合适替代方案。非线性通量校正输运(FCT)算法也用作过滤器,以从嘈杂的DSMC计算中提取平滑解,以进行低速/低Knudsen数DSMC计算。

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