A Hybrid Method for Prediction of Lean Blow Out in a Turbine Engine Combustion Chamber

Document Type : Research Paper


1 Ph.D. Candidate, Faculty of Aerospace, K. N. Toosi University of Technology, Iran

2 orresponding Author, Associate Professor, Faculty of Aerospace, Malek Ashtar University of Technology, Iran

3 Assistant Professor, Faculty of Aerospace, Malek Ashtar University of Technology, Iran


Three methods for prediction of lean blowout in a turbine engine has
been introduced. The first method is a Hybrid Simulation-Test (HST),
the second is a Hybrid Simulation-Semi empirical correlation (HSS)
and the third one is based on Lefebvre’s Semi-Empirical Correlation
(LSC). Before this research, calculation of parameters is done only
based on fuel species transport without taking evaporation and/or
atomization into account. This issue reduces actual amount of flame
volume. The values of ๐‘ž๐ฟ๐ต๐‘‚ (overall fuel-air ratio at lean blow out)
predicted by HST, HSS and LSC were compared to experimental
results. The error of (HST-FM & SM) method was 11.48 and 1.86
percent and (HSS-FM & SM) method was 6.15 and 2.2 percent and
(LSC) was 46.73 percent.


Main Subjects

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