首页> 外文会议>SAE World congress >Assessment of RNG Turbulence Modeling and the Development of a Generalized RNG Closure Model
【24h】

Assessment of RNG Turbulence Modeling and the Development of a Generalized RNG Closure Model

机译:RNG湍流模型评估和广义RNG闭合模型的开发

获取原文

摘要

RNG k-ε closure turbulence dissipation equations are evaluated employing the CFD code KIVA-3V Release 2. The numerical evaluations start by considering simple jet flows, including incompressible air jets and compressible helium jets. The results show that the RNG closure turbulence model predicts lower jet tip penetration than the 'standard' k-ε model, as well as being lower than experimental data. The reason is found to be that the turbulence kinetic energy is dissipated too slowly in the downstream region near the jet nozzle exit. In this case, the over-predicted R term in RNG model becomes a sink of dissipation in the ε-equation. As a second step, the RNG turbulence closure dissipation models are further tested in complex engine flows to compare against the measured evolution of turbulence kinetic energy, and an estimate of its dissipation rate, during both the compression and expansion processes. In this case the turbulence energy is also over-predicted, because the turbulence model is not sufficiently dissipative. To improve predictions of the current RNG turbulence model, possible optimization approaches are explored. In particular, a generalized RNG closure model based on the 'dimensionality' of the flow strain rate is proposed. When the generalized RNG model is tested in jet flows, the predicted tip penetrations match the experimental data well. The predicted turbulence energy of the engine flow is also improved significantly. Additionally, available direct numerical simulation (DNS) results are employed to support the continued use current RANS turbulence models, and to suggest strategies for improving the model coefficients. Two special compression cases are investigated, one is 3-D spherical compression, and the other is 1-D unidirectional compression.
机译:使用CFD代码KIVA-3V Release 2对RNGk-ε封闭湍流耗散方程进行评估。数值评估首先考虑简单的射流,包括不可压缩的空气射流和可压缩的氦射流。结果表明,RNG闭合湍流模型预测的射流尖端渗透率低于“标准”k-ε模型,并且低于实验数据。发现原因是湍流动能在喷嘴出口附近的下游区域耗散得太慢。在这种情况下,RNG模型中过度预测的R项成为ε方程中耗散的汇。第二步,在复杂的发动机流中进一步测试RNG湍流闭合耗散模型,以与在压缩和膨胀过程中测得的湍流动能演变以及其耗散率的估计值进行比较。在这种情况下,湍流能量也被过度预测,因为湍流模型没有足够的耗散性。为了改善对当前RNG湍流模型的预测,探索了可能的优化方法。特别是,提出了一种基于流动应变率“维数”的广义RNG封闭模型。当在射流中测试通用RNG模型时,预测的尖端穿透深度与实验数据完全匹配。发动机流的预计湍流能量也得到了显着改善。另外,可用的直接数值模拟(DNS)结果用于支持继续使用当前的RANS湍流模型,并提出改善模型系数的策略。研究了两种特殊的压缩情况,一种是3-D球形压缩,另一种是1-D单向压缩。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号