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Large eddy simulation of a piston-cylinder assembly: The sensitivity of the in-cylinder flow field for residual intake and in-cylinder velocity structures

机译:活塞-气缸总成的大涡流模拟:气缸内流场对残余进气和气缸内速度结构的敏感性

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Large eddy simulation (LES) in an axisymmetric piston-cylinder geometry was carried out using three LES approaches: (1) Smagorinsky subgrid scale model, (2) implicit LES, and (3) scale selective discretisation (SSD). In addition to the LES subgrid scale model sensitivity study, two additional simulations were carried out in order to understand the roles of the intake and the in-cylinder residual turbulence to the flow statistics. Altogether 12 cycles were computed for each simulation on a grid with 5 million cells and requiring over a month of wall-clock time per simulation on a supercomputer. Analysis of velocity statistics revealed that the results were not very sensitive to the LES model type. However, the residual turbulence was noted to have a clear impact on the velocity statistics. In particular, the simulations revealed that removing the residual turbulence from the intake region at the top-dead-centre has a clear impact on the overall velocity statistics. In many cases the cycle-to-cycle variation (CCV) increased. In a respective numerical test, where only the in-cylinder turbulence was removed at top-dead-centre, weaker sensitivity was observed. In addition, the CCV relative to the mean velocity was in some cases as high as 30% even in such a non-reactive case. The present study complements previous studies on the same set-up by investigating the sensitivity of three LES models on flow statistics, quantifying CCV using three different LES approaches in the standard set-up, and assessing the role of residual turbulence on the flow statistics via modified flow cases. (C) 2015 Elsevier Ltd. All rights reserved.
机译:使用三种LES方法在轴对称活塞缸几何结构中进行了大涡模拟(LES):( 1)Smagorinsky子网格比例模型,(2)隐式LES,以及(3)比例选择性离散化(SSD)。除了LES亚网格规模模型的敏感性研究之外,还进行了两个附加的模拟,以了解进气和缸内残余湍流对流量统计的作用。在具有500万个单元的网格上,每次模拟总共计算了12个周期,而在超级计算机上,每次模拟需要超过一个月的挂钟时间。速度统计分析表明,结果对LES模型类型不是很敏感。但是,注意到残留湍流对速度统计有明显影响。尤其是,模拟显示,从死角上端的进气区域消除残留湍流对整体速度统计数据有明显影响。在许多情况下,周期间差异(CCV)会增加。在相应的数值测试中,仅在上止点消除了缸内湍流,观察到了较弱的灵敏度。另外,即使在这种非反应性情况下,相对于平均速度的CCV也高达30%。本研究通过研究三种LES模型对流量统计的敏感性,在标准设置中使用三种不同的LES方法量化CCV以及通过以下方法评估残余湍流在流量统计中的作用,对以前对相同设置的研究进行了补充修改流程案例。 (C)2015 Elsevier Ltd.保留所有权利。

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