Prediction method of lean blow-out limit based on a hybrid semi-empirical model

陶焰明; 肖为; 江立军

doi:10.13224/j.cnki.jasp.2019.05.017

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Prediction method of lean blow-out limit based on a hybrid semi-empirical model

更新时间：2026-07-07

- Prediction method of lean blow-out limit based on a hybrid semi-empirical model
- Vol. 34, Issue 5, Pages: 1111-1118(2019)
- 作者机构：
  
  中国航空发动机集团有限公司湖南动力机械研究所燃烧室研究部,湖南,株洲,412002
- 作者简介：
- 基金信息：
- DOI：10.13224/j.cnki.jasp.2019.05.017
  CLC：
- Published：2019
- 稿件说明：
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陶焰明, 肖为, 江立军. 基于半经验耦合的贫熄边界预测方法[J]. 航空动力学报, 2019, 34(5): 1111-1118.

doi: 10.13224/j.cnki.jasp.2019.05.017
陶焰明, 肖为, 江立军. 基于半经验耦合的贫熄边界预测方法[J]. 航空动力学报, 2019, 34(5): 1111-1118. DOI： 10.13224/j.cnki.jasp.2019.05.017.

doi: 10.13224/j.cnki.jasp.2019.05.017 DOI：

摘要

提出了一种根据FV(flame volume)模型与燃烧室热态仿真相结合的贫油熄火边界耦合预测方法。利用两种不同构型五个不同方案燃烧室的贫熄试验数据对此方法进行验证，结果表明：对于直流型燃烧室与回流型燃烧室，FV模型中的经验常数K分别取1.35和0.55时，能够保证各方案燃烧室的贫油熄火边界预测精度均在±20%以内。相比于Lefebvre模型，此方法的计算精度更高、适用范围更广。

Abstract

A new method for predicting the lean blow-out performance of the combustor was proposed by combining the FV model with the simulation of reacting flows. The data of lean blow-out experiment of 5 combustors (two of which are through-flow combustors and the rest are reverse-flow combustors) showed that

when the value of model constant K was 1.35 to through-flow combustors

and 0.55 to reverse-flow combustors

the maximum uncertainties of the prediction method were less than ±20%. And compared with the Lefebvre model

the method proposed is much more applicable and precise for combustors of various structures.

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Related Institution

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China Gas Turbine Establishment, Aviation Industry Corporation of China

College of Power and Energy Engineering,Harbin Engineering University

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