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FIA method for LBO limit predictions of aero-engine combustors based on FV model

机译:基于FV模型的航空发动机燃烧室LBO极限预测的FIA方法

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摘要

Lean Blow-Out (LBO) is critical to operational performance of combustion systems in propulsion and power generation. Current predictive tools for LBO are based on decades old empirical correlations that have limited applicability for modern combustor design. According to the Lefebvre's model for LBO and flame volume concept, an FV (Flame Volume) model was proposed by authors in the early experimental study. The FV model adds two key parameters of a and p that represent the fraction of dome air and the dimensionless flame volume defined as the ratio of flame volume (V_f) and combustor volume (V_c). Due to the flame volume (V_f) is obtained from the experimental image, FV model could only be used in LBO analysis instead of predictions. In the present study, a method named Fuel Iterative Approximation (FIA) is proposed based on FV model for LBO limit predictions. In FIA, a and p contained in FV model are estimated from the numerical simulation results of combustors, and an iterative relationship between fuel flow rate and flame volume is established to make the prediction of LBO fuel/air ratio (q_(lbo))- Comparing with the experimental LBO data for 17 combustors, the q_(iso) obtained by FIA show much better agreement than that obtained by Lefebvre's model. The maximum prediction uncertainties of FIA and Lefebvre's model are ±20% and ±50%, respectively. The time cost of the LBO prediction using FIA for each case is about 6 hours with computer equipment of CPU x 4 and 4 GB memory, showing that the FIA is reliable and efficient, and could be used for the performance evaluation of combustors, even the so-called "paper combustors" in the primary design stage.
机译:稀薄爆燃(LBO)对于推进系统和发电系统中燃烧系统的运行性能至关重要。当前的LBO预测工具基于数十年的经验相关性,这些经验相关性在现代燃烧器设计中的适用性有限。根据Lefebvre的LBO模型和火焰体积概念,作者在早期实验研究中提出了FV(火焰体积)模型。 FV模型添加了两个关键参数a和p,分别代表圆顶空气的比例和无量纲的火焰体积,定义为火焰体积(V_f)与燃烧室体积(V_c)之比。由于从实验图像中获得了火焰体积(V_f),因此FV模型只能用于LBO分析,而不能用于预测。在本研究中,提出了一种基于FV模型的燃料迭代逼近(FIA)方法来预测LBO极限。在FIA中,从燃烧器的数值模拟结果估算FV模型中包含的a和p,并建立燃料流量与火焰量之间的迭代关系,以预测LBO燃料/空气比(q_(lbo))-与17个燃烧室的实验LBO数据相比,FIA获得的q_(iso)表现出比Lefebvre模型获得的更好。 FIA和Lefebvre模型的最大预测不确定度分别为±20%和±50%。对于使用CPU x 4和4 GB内存的计算机设备,在每种情况下使用FIA进行LBO预测的时间成本约为6小时,这表明FIA是可靠且高效的,可用于燃烧器的性能评估,甚至是燃烧器的性能评估。在最初的设计阶段就是所谓的“纸燃烧室”。

著录项

  • 来源
    《Aerospace science and technology》 |2013年第1期|435-446|共12页
  • 作者

    Bin Hu; Yong Huang; Fang Wang;

  • 作者单位

    Key Laboratory of Light-duty Gas-turbine, Institute of Engineering Thermophysks, Chinese Academy of Sciences, Beijing 100190, PR China;

    National Key Laboratory of Science and Technology on Aero-engines, School of Jet Propulsion, Beijing University of Aeronautics and Astronautics, Beijing 100191,PR China;

    National Key Laboratory of Science and Technology on Aero-engines, School of Jet Propulsion, Beijing University of Aeronautics and Astronautics, Beijing 100191,PR China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Aero-engine combustor; Lean blow out; Fuel iterative approximation; Flame volume; Numerical simulation;

    机译:航空发动机燃烧室;稀燃;燃油迭代逼近;火焰量;数值模拟;
  • 入库时间 2022-08-18 02:33:18

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