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CFD PREDICTIONS OF ISOTHERMAL FUEL-AIR MIXING IN A RADIAL SWIRL LOW NO_x COMBUSTOR USING VARIOUS RANS TURBULENCE MODELS

机译:使用各种RAN湍流模型在径向旋流低NO_X燃烧器中的等温燃料 - 空气混合的CFD预测

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A radial swirl DLE combustion system was investigated for its gaseous fuel-air mixing performance using various different RANS turbulence models. Two different configurations were investigated; vane passage fuel injection and fuel injection from the wall of an outlet throat directly into the shear layer. The results showed that for vane passage fuel injection, only the standard k-ε and standard Spalart-Allmaras models were able to provide a reasonable prediction for the combustor fuel-air distribution, out of all the RANS models and their variants available in Fluent v6.3, although both models predicted that the fuel and air were better mixed than in the measurements. For outlet throat wall fuel injection no models were able to provide a reasonable prediction. This same issue is also reported by several other researchers and represents a serious problem area in combustion modeling for low NO_x applications. Improved fuel jet penetration was achieved by using an extremely low value of 0.1 for the turbulent Schmidt number, therefore future work will concentrate on using a localized value of Sc in the vicinity of the fuel injection hole.
机译:研究了使用各种不同的RAN湍流模型对其气体燃料空气混合性能进行了径向旋流燃烧系统。调查了两种不同的配置;叶片通道燃料喷射和从出口喉部的燃料喷射直接进入剪切层。结果表明,对于叶片通道燃料喷射,只有标准的K-ε和标准Spalart-Allmaras模型都能够为燃烧器燃料 - 空气分布提供合理的预测,其中包括流畅的V6中可用的所有RAN模型及其变体.3,尽管两个模型预测,燃料和空气比测量更好地混合。对于出口喉墙燃料喷射,没有模型能够提供合理的预测。其他几个研究人员还报告了同样的问题,并且代表了低NO_X应用中的燃烧建模的严重问题区域。通过使用极低的值为0.1对于湍流施密特数来实现改进的燃料射流渗透,因此未来的工作将在燃料喷射孔附近使用SC的局部值来集中精力。

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