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Comparison of RANS/CMC modeling of Flame D with conventional and with Presumed Mapping Function statistics

机译:将Flame D的RANS / CMC建模与常规映射函数和假定映射函数统计进行比较

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摘要

Numerical simulations of Sandia Flame D are presented using Reynolds-averaged formulations plus a two equation turbulence model for the flow and mixing fields and a first order Conditional Moment Closure for the flame model. The distributions of probability and Conditional Scalar Dissipation (CSD) in mixture fraction space are modeled first using a Beta PDF (Probability Distribution Function) plus a theoretical model for CSD and then using the consistent, Presumed Mapping Function-based formulation of Mortensen for both PDF and CSD, in both two and three stream mixing modes. It is shown that there is an improvement in predictions compared with experiment when using the consistent models.
机译:使用雷诺平均公式,流场和混合场的两个方程湍流模型以及火焰模型的一阶条件矩闭合,对桑迪亚火焰D进行了数值模拟。首先使用Beta PDF(概率分布函数)加上针对CSD的理论模型对混合分数空间中的概率和条件标量耗散(CSD)的分布进行建模,然后对两个PDF使用一致的,假定的基于映射函数的Mortensen公式和CSD,两种和三种流混合模式。结果表明,与使用一致模型的实验相比,预测结果有所改善。

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