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Prediction of lean blowout performance of gas turbine combustor based on flow structures

机译:基于流动结构的燃气轮机燃烧室稀薄喷吹性能预测

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摘要

The insufficient depth of modelling to capture the flow physics within primary combustion zone is the prime reason behind limited accuracy of semi-empirical correlations. Flame volume concept establishes a better connection between LBO performance and flame parameters, which improves the modelling depth and hence the prediction accuracy. Nonetheless, estimation of flame parameters is a challenging task. In addition, the iterative loop to approach convergence for a single geometry demands several numerical simulation runs. In this study, the association of LBO performance has been extended to flow structures, they are uniquely associated with the geometric features and can efficiently relate global LBO performance with primary zone geometry. The lean blowout phenomenon was presented as a contest between igniting and extinction forces within Reverse Flow Zone. These forces were quantified by four performance parameters including area, minimum axial velocity, average temperature, and average velocity. Selected parameters provide valuable information regarding the size of recirculation bubble, the intensity of flow reversal and the amount of entrained hot gases. For the purpose of validation, 11 combustor geometries were selected. The RANS simulation was carried out to estimate performance parameters, and predicted performance was compared against experimental data. The excellent agreement highlights the efficiency and promising future for the proposed methodology. Moreover, the association of prediction process with flow structure, instead of geometric features/dimension, makes it universal prediction methodology for wide range of combustor configurations.
机译:建模深度不足以捕获主要燃烧区内的流物理学是半经验相关精度有限的主要原因。火焰体积概念在LBO性能和火焰参数之间建立了更好的联系,从而改善了建模深度,从而提高了预测精度。但是,估计火焰参数是一项艰巨的任务。此外,要针对单个几何体收敛的迭代循环需要进行几次数值模拟。在这项研究中,LBO性能的关联已扩展到流动结构,它们与几何特征唯一相关,并且可以有效地将全局LBO性能与主要区域几何联系起来。稀薄喷出现象是在逆流区内的点燃力和消光力之间的较量。这些力通过四个性能参数进行量化,包括面积,最小轴向速度,平均温度和平均速度。选择的参数可提供有关再循环气泡大小,逆流强度和夹带的热气量的有价值的信息。为了进行验证,选择了11种燃烧室几何形状。进行RANS仿真以估计性能参数,并将预测的性能与实验数据进行比较。出色的协议突显了所提出方法的效率和有希望的未来。此外,预测过程与流动结构的关联而不是几何特征/尺寸的关联使它成为适用于各种燃烧器配置的通用预测方法。

著录项

  • 来源
    《The Aeronautical Journal》 |2018年第1248期|238-259|共22页
  • 作者

    Ahmed E.; Yong H.;

  • 作者单位

    Beihang Univ, Sch Energy & Power Engn, Natl Key Lab Sci & Technol Aeroengines, Collaborat Innovat Ctr Adv Aeroengines, Beijing, Peoples R China;

    Beihang Univ, Sch Energy & Power Engn, Natl Key Lab Sci & Technol Aeroengines, Collaborat Innovat Ctr Adv Aeroengines, Beijing, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    gas turbine combustion; lean blowout; reactive flow simulation;

    机译:燃气轮机燃烧;稀薄井喷;反应流模拟;

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