flame extinction
Recently Published Documents


TOTAL DOCUMENTS

174
(FIVE YEARS 23)

H-INDEX

25
(FIVE YEARS 3)

2021 ◽  
pp. 103479
Author(s):  
Caiyi Xiong ◽  
Zilong Wang ◽  
Xinyan Huang
Keyword(s):  

Energy ◽  
2021 ◽  
pp. 122248
Author(s):  
Xiehe Yang ◽  
Tiantian Wang ◽  
Yang Zhang ◽  
Hai Zhang ◽  
Yuxin Wu ◽  
...  

2021 ◽  
Author(s):  
Ho Yin Leung ◽  
Efstathios Karlis ◽  
Yannis Hardalupas ◽  
Andrea Giusti

Abstract The lean blow-out performance of an engine and the ability to re-ignite the flame, especially at high-altitude conditions, are important aspects for the safe operability of airplanes. The operability margins of the engine could be extended if it was possible to predict the occurrence of flame blowout from in-flight measurements and take actions to dynamically control the flame behaviour before complete extinction. In this work, the use of Re-currence Quantification Analysis (RQA), an established tool for the analysis of non-linear dynamical systems, is explored to reconstruct and study the blow-off dynamics starting from pressure measurements taken from blow-off experiments of an engine rig. It is shown that the dynamics of the combustor exhibit chaotic characteristics far away from blow-off and that the dynamics become more coherent as the blow-off condition is approached. The degree of determinism and recurrence rate are studied during the entire combustor’s dynamics, from stable flame to flame extinction. It is shown that the flame extinction is anticipated by an increase of the degree of determinism and recurrence rate at all investigated conditions, which indicates intermittent behavior of the combustor before the blow-off condition is reached. Therefore, in the configuration investigated here, the determinism and the recurrence rate of the system could be good predictors of blow-off occurrence and could potentially enable control actions to avoid flame extinction. This study opens up new possibilities for engine control and operability. The development of real-time RQA should be addressed in future research.


Fuel ◽  
2021 ◽  
Vol 289 ◽  
pp. 119781
Author(s):  
Xiepeng Sun ◽  
Longhua Hu ◽  
Xiaolei Zhang ◽  
Yong Yang ◽  
Fei Ren ◽  
...  

2021 ◽  
Vol 33 (3) ◽  
pp. 033610
Author(s):  
Claude M. Dion ◽  
Damir M. Valiev ◽  
V'yacheslav Akkerman ◽  
Berk Demirgok ◽  
Orlando J. Ugarte ◽  
...  

2020 ◽  
Vol 32 (6) ◽  
pp. 1065-1075
Author(s):  
Chuanjia Wu ◽  
Peiyi Sun ◽  
Xiuzhen Wang ◽  
Xinyan Huang ◽  
Shuangfeng Wang

Sign in / Sign up

Export Citation Format

Share Document