首页> 外文OA文献 >CFD predictions of wake-stabilised jet flames in a cross-flow
【2h】

CFD predictions of wake-stabilised jet flames in a cross-flow

机译:CFD预测尾流中的尾流稳定射流火焰

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

This study describes an investigation into predicting the major flow properties in wake-stabilised jet flames in a cross flow of air using first- and second-order turbulence models, applied within a RANS (Reynolds-averaged Navier-Stokes) modelling framework. Standard and RNG (re-normalisation group) versions of the k-ε turbulence model were employed at the first-order level and the results compared with a second-moment closure, or RSM (Reynolds stress model). The combustion process was modelled using the laminar flamelet approach together with a thermal radiation model using the discrete ordinate method. The ability of the various turbulence models to reproduce experimentally established flame appearance, profiles of velocity and turbulence intensity, as well as the combustion efficiency of such flames is reported. The results show that all the turbulence models predict similar velocity profiles over the majority of the flow domain considered, except in the wake region, where the predictions of the RSM and RNG k-ε models are in closer agreement with experimental data. In contrast, the standard k-ε model over-predicts the peak turbulence intensity. Also, it is found that the RSM provides superior predictions of the planar recirculation and flame zones attached to the release pipe in the wake region.
机译:这项研究描述了一项研究,该研究使用一阶和二阶湍流模型在RANS(雷诺平均Navier-Stokes)建模框架中应用,来预测交叉气流中尾流稳定的喷射火焰的主要流动特性。在第一级使用k-ε湍流模型的标准版和RNG(重新归一化组)版本,并将结果与​​第二矩闭合或RSM(雷诺应力模型)进行比较。使用层流小火焰方法对燃烧过程进行建模,并使用离散纵坐标方法对热辐射模型进行建模。据报道,各种湍流模型具有再现实验确定的火焰外观,速度和湍流强度分布以及这种火焰的燃烧效率的能力。结果表明,除了尾流区域外,所有湍流模型都在考虑的大部分流域中预测相似的速度分布,在尾流区域中,RSM和RNGk-ε模型的预测与实验数据更加吻合。相比之下,标准k-ε模型会过度预测峰值湍流强度。而且,发现RSM对尾流区域中附着在释放管上的平面再循环和火焰区域提供了出色的预测。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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